Coherence estimate between a random and a periodic signal: Bias, variance, analytical critical values, and normalizing transforms

The present work deals with recent results on the sampling distribution of the magnitude-squared coherence (also called just coherence) estimate between a random (Gaussian) and a periodic signal, in order to obtain analytical critical values, alternative expressions for the probability density function (PDF) as well as the variance and bias of the estimate. A comparison with the more general case of coherence estimation when both signals are Gaussian was also provided. The results indicate that the smaller the true coherence (TC) values the closer both distributions become. The behaviour of variance and bias as a function of the number of data segments and the TC is similar for both coherence estimates. Additionally, the effect of a normalizing function (Fisher's z transform) in the coherence estimated between a random and a periodic signal was also evaluated and normality has been nearly achieved. However, the variance was less equalized in comparison with coherence estimate between two Gaussian signals.     

Beyond formal R&D: Taking advantage of other sources of innovation in low- and medium-technology industries

This study deepens our knowledge of critical success factors in the innovation process of low- and medium-technology (LMT) industries. To accomplish this, it explores how the innovation process in LMT firms may depend on non-formal R&D activities and the use of external sources. The empirical analysis is based on a representative panel of Spanish manufacturing firms. The results strongly support the view that non-R&D activities such as design, the use of advanced machinery and training are crucial to understanding the innovation process of any firm. The study finds, however, that the impact of these activities is especially important in LMT industries, particularly for the achievement of product innovations. The empirical evidence also reveals the importance of external sources such as the use of consultants, the hiring of personnel, collaboration agreements and external R&D, with the greatest differences between LMT and high-technology (HT) firms being observed in process innovations.     

Making the development of technological innovations more efficient: An exploratory analysis in the biotechnology sector

The current study analyzes the processes involved in obtaining technological innovations. Conclusive results are lacking in the literature, so this work defines and empirically tests a model of the relations between the firm's innovative capacity and the different ways of accumulating knowledge and the decision whether or not to codify it. Also, the model takes into account whether the innovations obtained are radical or incremental.The empirical study uses a sample of Spanish biotechnology firms, and the results show that accumulating knowledge using internal sources and not codifying it significantly improves the firm's capacity to develop radical innovations. The results also show that knowledge codification speeds up the development of incremental innovations. The relation between incremental innovations and the sources of knowledge is not so clear, although the results suggest the possible existence of a nonlinear relation between the two variables.     

Rapid production of protein-loaded biodegradable microparticles using surface acoustic waves

We present a straightforward and rapid surface acoustic wave (SAW) atomization-based technique for encapsulating proteins into 10 μm order particles composed of a biodegradable polymeric excipient, using bovine serum albumin (BSA) as an exemplar. Scans obtained from confocal microscopy provide qualitative proof of encapsulation and show the fluorescent conjugated protein to be distributed in a relatively uniform manner within the polymer shell. An ELISA assay of the collected particles demonstrates that the BSA survives the atomization, particle formation, and collection process with a yield of approximately 55%. The SAW atomization universally gave particles with a textured morphology, and increasing the frequency and polymer concentration generally gave smaller particles (to 3 μm average) with reduced porosity.     

Online diaries: Reflections on trust,privacy, and exhibitionism

Trust between transaction partners in cyberspace has come to be considered a distinct possibility. In this article the focus is on the conditions for its creation by way of assuming, not inferring trust. After a survey of its development over the years (in the writings of authors like Luhmann, Baier, Gambetta, and Pettit), this mechanism of trust is explored in a study of personal journal blogs. After a brief presentation of some technicalities of blogging and authors’ motives for writing their diaries, I try to answer the question, ‘Why do the overwhelming majority of web diarists dare to expose the intimate details of their lives to the world at large?’ It is argued that the mechanism of assuming trust is at play: authors simply assume that future visitors to their blog will be sympathetic readers, worthy of their intimacies. This assumption then may create a self-fulfilling cycle of mutual admiration. Thereupon, this phenomenon of blogging about one’s intimacies is linked to Calvert’s theory of ‘mediated voyeurism’ and Mathiesen’s notion of ‘synopticism’. It is to be interpreted as a form of ‘empowering exhibitionism’ that reaffirms subjectivity. Various types of ‘synopticon’ are distinguished, each drawing the line between public and private differently. In the most ‘radical’ synopticon blogging proceeds in total transparency and the concept of privacy is declared obsolete; the societal gaze of surveillance is proudly returned and nullified. Finally it is shown that, in practice, these conceptions of blogging are put to a severe test, while authors often have to cope with known people from ‘real life’ complaining, and with ‘trolling’ strangers.     

Defining the problem: key element for the success of knowledge management

The objective of this paper is to propose a methodology for applying knowledge management (KM), in which we first focus on explaining problematic areas of an organization by identifying the knowledge core process, before applying KM strategies to those processes. For the methodology, we lean on the larger context of systems thinking to help visualize the whole organization, and it is here that the key factors are identified and a set of strategic criteria is established. The most important criteria are then used to evaluate the associated processes and their respective tasks in order to establish the problematic areas or opportunities where KM initiatives can be applied. This strategy precludes tackling all the organization's problems and allows management to focus on only those processes that provide significant and manageable knowledge. Finally, this study explores and cautiously recommends an unexploited but valuable element to be taken into account when implementing KM initiatives.     

Using genetic algorithms to evolve a population of topical queries

Systems for searching the Web based on thematic contexts can be built on top of a conventional search engine and benefit from the huge amount of content as well as from the functionality available through the search engine interface. The quality of the material collected by such systems is highly dependant on the vocabulary used to generate the search queries. In this scenario, selecting good query terms can be seen as an optimization problem where the objective function to be optimized is based on the effectiveness of a query to retrieve relevant material. Some characteristics of this optimization problem are: (1) the high-dimensionality of the search space, where candidate solutions are queries and each term corresponds to a different dimension, (2) the existence of acceptable suboptimal solutions, (3) the possibility of finding multiple solutions, and in many cases (4) the quest for novelty. This article describes optimization techniques based on Genetic Algorithms to evolve “good query terms” in the context of a given topic. The proposed techniques place emphasis on searching for novel material that is related to the search context. We discuss the use of a mutation pool to allow the generation of queries with new terms, study the effect of different mutation rates on the exploration of query-space, and discuss the use of a especially developed fitness function that favors the construction of queries containing novel but related terms.     

Geographical amplitude in the international generation of technology: Present situation and business determinants

Building on a rich dataset with information on 65,000 firms and 465,000 European patent applications from 1978 to 2000, this paper addresses the geographical amplitude of international technology generation. First, we show that the number of countries hosting international technological activities is increasing. The USA and some developing nations benefit from this internationalisation. Conversely, although Europe as a whole still plays a leading role in the encouragement of foreign technological activities, some European countries, such as Germany and the UK, appear to be losing their technological appeal. Second, we verify that multinational corporations (MNCs) have increased the geographical amplitude of their technological activities. In fact, the mean number of countries in which MNCs internationalised technology generation has doubled during the 23 years we have analyzed. Third, we address the business characteristics that explain this phenomenon. A negative binomial regression suggests that internationalisation is higher in MNCs showing a greater technological diversification, a higher volume of technological activity, a wider presence in international markets and more experience in the international generation of technology. Finally, American corporations and (regardless of the home country) those firms whose main technological fields are in chemistry, pharmaceuticals, or electronics, present the highest geographical dispersion of their international technological activities.     

Training Alone Is Not Enough

Improving healthcare services in the developing world remains a major goal for many organizations and despite enormous training and program investments from international organizations, service improvements have been modest. This study looks at how to improve results by examining the relationship between the conditions in a healthcare providers' work environment and his or her performance. Drawing upon a human performance model that assumes that performance expectations, timely feedback, adequate environment, incentives, and skills and knowledge are required for a worker to perform well, this study explores how these conditions might affect healthcare provider performance in four countries. The study successfully shows that although multiple conditions were deficient or missing in every country, significant association is found between the performance of workers and conditions in the workers environment. Further, when viewed across all countries, non‐monetary incentives is the most powerful “predictor‘ of performance when compared with other factors. Of particular interest to Performance Improvement practitioners, knowledge and skills surfaced as important in only three of eight possible cases (with multiple cases in each country)—the least influential factor overall.     

Using decision support systems to facilitate the social process of knowledge management

The social processes involved in engaging small groups of 3–15 managers in their sharing, organising, acquiring, creating and using knowledge can be supported with software and facilitator assistance. This paper introduces three such systems that we have used as facilitators to support groups of managers in their social process of decision-making by managing knowledge during face-to-face meetings. The systems include Compendium, Group Explorer (with Decision Explorer) and V*I*S*A. We review these systems for group knowledge management where the aim is for better decision-making, and discuss the principles of deploying each in a group meeting.