Using the Information Structure Model to Compare Profile-Based Information Filtering Systems

In the IR field it is clear that the value of a system depends on the cost and benefit profiles of its users. It would seem obvious that different users would prefer different systems. In the TREC-9 filtering track, systems are evaluated by a utility measure specifying a given cost and benefit. However, in the study of decision systems it is known that, in some cases, one system may be unconditionally better than another. In this paper we employ a decision theoretic approach to find conditions under which an Information Filtering (IF) system is unconditionally superior to another for all users regardless of their cost and benefit profiles.It is well known that if two IF systems have equal precision the system with better recall will be preferred by all users. Similarly, with equal recall, better precision is universally preferred. We confirm these known results and discover an unexpected dominance relation in which a system with lower recall will be universally preferred provided its precision is sufficiently higher.     

Authoritarianism, perceived threat and exclusionism on the eve of the Disengagement: Evidence from Gaza

Major political events such as terrorist attacks and forced relocation of citizens may have an immediate effect on attitudes towards ethnic minorities associated with these events. The psychological process that leads to political exclusionism of minority groups was examined using a field study among Israeli settlers in Gaza days prior to the Disengagement Plan adopted by the Israeli government on June 6, 2004 and enacted in August 2005. Lending credence to integrated threat theory and to theory on authoritarianism, our analyses show that the positive effect of religiosity on political exclusionism results from the two-staged mediation of authoritarianism and perceived threat. We conclude that religiosity fosters authoritarianism, which in turn tends to move people towards exclusionism both directly and through the mediation of perceived threat.     

Principals’ Survival with Parental Involvement

This paper explores the dynamics of purposeful leadership and parental involvement, two central components of effective schools. The results of four cases studies are presented that consider the ways in which principals work with parents in schools that have a shared, consistent mission. The case studies reveal that principal‐parent interactions are the result of unique processes in each school and are negotiated and institutionalized over time.     

Building an innovation hub: A case study of the transformation of university roles in regional technological and economic development

Universities have assumed an expanded role in science and technology-based economic development that has become of interest to catch-up regions as well as to leading innovation locales. This paper examines how the role of the university has evolved from performing conventional research and education functions to serving as an innovation-promoting knowledge hub though the case of Georgia Institute of Technology (Georgia Tech). This case is discussed in the context of state efforts to shift the region from an agricultural to an industrial to an innovation-driven economy. Central to the transformation of Georgia Tech as a knowledge hub is the emergence of new institutional leadership, programs, organizational forms and boundary-spanning roles that meditate among academic, educational, entrepreneurial, venture capital, industrial, and public spheres. Comparisons between Georgia Tech's experiences and those of university roles in selected other catch-up regions in the southern United States highlight the importance to the case of networked approaches, capacity building, technology-based entrepreneurial development, and local innovation system leadership. Insights on the transformation of universities and the challenges of fostering a similar transformation in regional economies are offered.     

Adapting the Knuth–Morris–Pratt algorithm for pattern matching in Huffman encoded texts

In the present work we perform compressed pattern matching in binary Huffman encoded texts [Huffman, D. (1952). A method for the construction of minimum redundancy codes, Proc. of the IRE, 40, 1098–1101]. A modified Knuth–Morris–Pratt algorithm is used in order to overcome the problem of false matches, i.e., an occurrence of the encoded pattern in the encoded text that does not correspond to an occurrence of the pattern itself in the original text. We propose a bitwise KMP algorithm that can move one extra bit in the case of a mismatch since the alphabet is binary. To avoid processing any bit of the encoded text more than once, a preprocessed table is used to determine how far to back up when a mismatch is detected, and is defined so that we are always able to align the start of the encoded pattern with the start of a codeword in the encoded text. We combine our KMP algorithm with two practical Huffman decoding schemes which handle more than a single bit per machine operation; skeleton trees defined by Klein [Klein, S. T. (2000). Skeleton trees for efficient decoding of huffman encoded texts. Information Retrieval, 3, 7–23], and numerical comparisons between special canonical values and portions of a sliding window presented in Moffat and Turpin [Moffat, A., & Turpin, A. (1997). On the implementation of minimum redundancy prefix codes. IEEE Transactions on Communications, 45, 1200–1207]. Experiments show rapid search times of our algorithms compared to the “decompress then search” method, therefore, files can be kept in their compressed form, saving memory space. When compression gain is important, these algorithms are better than cgrep [Ferragina, P., Tommasi, A., & Manzini, G. (2004). C Library to search over compressed texts, http://roquefort.di.unipi.it/~ferrax/CompressedSearch], which is only slightly faster than ours.     

Knowledge economy measurement: Methods, results and insights from the Malaysian Knowledge Content Study

Building on a conceptual model of knowledge content, we discuss the methodology and results of a project to develop sectoral knowledge content measures in Malaysia. Through a survey of over 1800 Malaysian firms in 18 manufacturing and services industries, levels of knowledge content are assessed by sector. Industries vary in their emphasis on specific knowledge content components. Positive associations between technological innovation and at least one knowledge content variable are evident across all but four industries, although generally the results suggest that knowledge-based innovation is modest in Malaysia. Further insights and opportunities for policy from tracking knowledge content are considered.     

Implicit dimension identification in user-generated text with LSTM networks

In the process of online storytelling, individual users create and consume highly diverse content that contains a great deal of implicit beliefs and not plainly expressed narrative. It is hard to manually detect these implicit beliefs, intentions and moral foundations of the writers.We study and investigate two different tasks, each of which reflect the difficulty of detecting an implicit user’s knowledge, intent or belief that may be based on writer’s moral foundation: (1) political perspective detection in news articles (2) identification of informational vs. conversational questions in community question answering (CQA) archives. In both tasks we first describe new interesting annotated datasets and make the datasets publicly available. Second, we compare various classification algorithms, and show the differences in their performance on both tasks. Third, in political perspective detection task we utilize a narrative representation language of local press to identify perspective differences between presumably neutral American and British press.     

Career-based influences on scientific recognition in the United States and Europe: Longitudinal evidence from curriculum vitae data

This paper examines how funding patterns, career pathways and collaboration networks influence scientific recognition. We analyze these institutional factors in the early and middle phases of academic careers through comparison of a group of researchers recognized as creative by their peers with a matched group of researchers. Measurement of scientific recognition is based on survey nominations and research prizes in two growing, laboratory-intensive research domains: nanotechnology and human genetics. Curriculum vitae data is used to compare researchers based in the United States and Europe. In the early career model for the United States, we find that scientific recognition is associated with broad academic education, fast completion of PhD, and a record of independent postdoctoral research, while in Europe these factors are much less prominent. The mid-career model suggests that both in the United States and Europe fast job promotion within academia is a strong predictor of future recognition. However, there is a clear divide across the Atlantic regarding other mid-career factors: work experience inside and outside academia, research leadership, external grant income, and prizes from professional associations are connected to scientific recognition in the United States, but are less influential in Europe.