Miracle-dz/UniFAR-FTUs huggingface dataset:
1 Organizational Transformation as a Function of CEOs ’ Developmental Stage 1

In this paper, we discuss what appears to be one critical variable in successful organizational transformation: the ego development stage of the CEO and his or her senior advisers. In ten longitudinal organizational development efforts, the five CEOs measuring at the late Strategist/Leader stage of development supported 15 progressive organizational transformations. By contrast, the five CEOs measuring at pre-Strategist stages of development supported a total of 0 progressive organizational transformations (no change in two organizations; a three stage regression in one organization; and three stages of progressive development in two organizations). The progressively transforming organizations became industry leaders on a number of business indexes. The three organizations that did not progress developmentally lost personnel, industry standing, and money as well. (Since the publication of this article, another major study of ego development has been conducted and reported by Susann Cook-Greuter: Postautonomous Ego Development: A Study of its Nature and Measurement. Cambridge MA: Harvard Graduate School of Education Dissertation. The version of the measure developed by Cook-Greuter, Rooke, and Torbert has been renamed the CRT Leadership Development Profile and is available through www.harthill.co.uk or from cookgsu@aol.com. Also, a second study of the ten organizations four years after the first showed that the ego development stage of the CEO now accounted for 73% of the variance of whether the organization transformed in a developmentally progressive way.)
Multi-Label Structure Learning with Ising Model Selection

A common way of attacking multi-label classification problems is by splitting it into a set of binary classification problems, then solving each problem independently using traditional single-label methods. Nevertheless, by learning classifiers separately the information about the relationship between labels tends to be neglected. Built on recent advances in structure learning in Ising Markov Random Fields (I-MRF), we propose a multilabel classification algorithm that explicitly estimate and incorporate label dependence into the classifiers learning process by means of a sparse convex multitask learning formulation. Extensive experiments considering several existing multi-label algorithms indicate that the proposed method, while conceptually simple, outperforms the contenders in several datasets and performance metrics. Besides that, the conditional dependence graph encoded in the I-MRF provides a useful information that can be used in a posterior investigation regarding the reasons behind the relationship between labels.
Replicator Dynamics of Coevolving Networks

We propose a simple model of network co-evolution in a game-dynamical system of interacting agents that play repeated games with their neighbors, and adapt their behaviors and network links based on the outcome of those games. The adaptation is achieved through a simple reinforcement learning scheme. We show that the collective evolution of such a system can be described by appropriately defined replicator dynamics equations. In particular, we suggest an appropriate factorization of the agents' strategies that results in a coupled system of equations characterizing the evolution of both strategies and network structure, and illustrate the framework on two simple examples.
Bayesian Structured Sparsity from Gaussian Fields

Substantial research on structured sparsity has contributed to analysis of many different applications. However, there have been few Bayesian procedures among this work. Here, we develop a Bayesian model for structured sparsity that uses a Gaussian process (GP) to share parameters of the sparsity-inducing prior in proportion to feature similarity as defined by an arbitrary positive definite kernel. For linear regression, this sparsity-inducing prior on regression coefficients is a relaxation of the canonical spike-and-slab prior that flattens the mixture model into a scale mixture of normals. This prior retains the explicit posterior probability on inclusion parameters---now with GP probit prior distributions---but enables tractable computation via elliptical slice sampling for the latent Gaussian field. We motivate development of this prior using the genomic application of association mapping, or identifying genetic variants associated with a continuous trait. Our Bayesian structured sparsity model produced sparse results with substantially improved sensitivity and precision relative to comparable methods. Through simulations, we show that three properties are key to this improvement: i) modeling structure in the covariates, ii) significance testing using the posterior probabilities of inclusion, and iii) model averaging. We present results from applying this model to a large genomic dataset to demonstrate computational tractability.
Validation of the Decisional Balance Scales in the Exercise Domain From the Transtheoretical Model: A Longitudinal Test

This study examined the validity and reliability of decisional balance scales for exercise (i.e., pros and cons) in a large longitudinal population-based randomized sample of Canadian adults ages 18 to 65 years (N = 703). Assessments were taken over 3 time points with 6-month intervals between testing. Content, factorial, concurrent, and construct validity along with internal consistency and test-retest reliability were established for the decisional balance scales. The developed measures have utility for researchers and practitioners who test and apply the exercise decisional balance constructs of the Transtheoretical Model.
Data mining in bioinformatics: report on BIOKDD'03

1. FOREWORD Bioinformatics is the science of managing, mining, and interpreting information from biological sequences and structures. Genome sequencing projects have contributed to an exponential growth in complete and partial sequence databases. The structural genomics initiative aims to catalog the structure-function information for proteins. Advances in technology such as microarrays have launched the subfield of genomics and proteomics to study the genes, proteins, and the regulatory gene expression circuitry inside the cell. What characterizes the state of the field is the flood of data that exists today or that is anticipated in the future; data that needs to be mined to help unlock the secrets of the cell. While tremendous progress has been made over the years, many of the fundamental problems in bioinformatics, such as protein structure prediction or gene finding, are still open. Data mining will play a fundamental role in understanding gene expression, drug design and other emerging problems in genomics and proteomics. Furthermore, text mining will be fundamental in extracting knowledge from the growing literature in bioinformatics. BIOKDD’03 was held in conjunction with the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, in Washington, DC, in August 2003. The goal of this workshop was to encourage KDD researchers to take on the numerous challenges that Bioinformatics offers. The workshop featured keynote talks from noted experts in the field, and the latest data mining research in bioinformatics; it encouraged papers that proposed novel data mining techniques for tasks such as:
Leading Technological Change

Argues that the effective management of technological change requires transformational leadership, and that one of the principal tools employed by the transformational leader is rites. Rites are elaborate, dramatic, planned sets of activities that promote change in individuals at both the psychological and the behavioural level. Illustrates the various ways in which managers are able to facilitate change through the use of social rites using data drawn from 12 detailed case studies of Manufacturing Resource Planning II (MRP II) implementations. While the focus of the article is primarily on technological change, it is clear that the lessons drawn here are more generally applicable.
Molecular cloning and genetic analysis of the suppressor-of-white-apricot locus from Drosophila melanogaster

We report genetic and molecular analysis of the suppressor-of-white-apricot [su(wa)] locus, one of several retrotransposon insertion allele-specific suppressor loci in Drosophila melanogaster. First, we isolated and characterized eight new mutations allelic to the original su(wa)1 mutation. These studies demonstrated that su(wa) mutations allelic to su(wa)1 affected a conventional D. melanogaster complementation group. Second, we cloned the chromosomal region containing the su(wa) complementation group by P element transposon tagging. The ca. 14-kilobase region surrounding the su(wa) complementation group contained five distinct transcription units, each with a different developmentally programmed pattern of expression. Third, we used a modified procedure for P-mediated gene transfer to identify the transcription unit corresponding to su(wa) by gene transfer. Fourth, we found that the presumptive su(wa) transcription unit produced a family of transcripts (ranging from ca. 3.5 to ca. 5.2 kilobases) in all developmental stages, tissue fractions, and cell lines we examined, suggesting that the gene is universally expressed.
Does a functioning mind need a functioning body

In recent years, the idea that somatic processes are intimately involved in actions traditionally considered to be purely mental has come to the fore. In particular, these arguments have revolved around the concept of somatic markers, i.e., bodily states that are generated by mind and then reperceived and acted upon. This chapter considers the somatic marker hypothesis and related ideas from the point of view of postclassical computation, i.e., the view that computing can be seen as a property of things-in-the-world rather than of an abstract class of mathematical machines. From this perspective, a number of ideas are discussed: the idea of somatic markers extending into the environment, an analogy with hardware interlocks in complex computer driven systems, and connections with the idea of just-do-it computation.
Optimized relay placement for wireless sensor networks federation in environmental applications

Advances in sensing and wireless communication technologies have enabled a wide spectrum of Outdoor Environment Monitoring applications. In such applications, several wireless sensor network sectors tend to collaborate to achieve more sophisticated missions that require the existence of a communication backbone connecting (federating) different sectors. Federating these sectors is an intricate task because of the huge distances between them and because of the harsh operational conditions. A natural choice in defeating these challenges is to have multiple relay nodes (RNs) that provide vast coverage and sustain the network connectivity in harsh environments. However, these RNs are expensive; thus, the least possible number of such devices should be deployed. Furthermore, because of the harsh operational conditions in Outdoor Environment Monitoring applications, fault tolerance becomes crucial, which imposes further challenges; RNs should be deployed in such a way that tolerates failures in some links or nodes. In this paper, we propose two optimized relay placement strategies with the objective of federating disjoint wireless sensor network sectors with the maximum connectivity under a cost constraint on the total number of RNs to be deployed. The performance of the proposed approach is validated and assessed through extensive simulations and comparisons assuming practical considerations in outdoor environments. Copyright © 2011 John Wiley & Sons, Ltd.
Experimental performability evaluation of middleware for large-scale distributed systems

We present a tool for experimental evaluation of distributed software that enables performability tests to be incorporated in the agile development of complex middleware systems. The proposed approach combines simulation with the profiling of key components and is achieved by an extension to a standard simulation kernel and reflection, thus leveraging existing simulation models and easing the integration of existing components. The evaluation of database replication middleware in large-scale systems is used to illustrate the approach.
Political support in the baltic states, 1993–2004

The object of this article is to map trends in public support for Baltic political regimes during the transition period. Using a multidimensional model of political support, the article tracks trends in identification with the political community, approval of regime principles, evaluations of regime performance, and trust in political institutions. The results suggest that popular satisfaction with Baltic political regimes is increasing, presumably as a result of improved economic and political performance. However, there are three reasons for concern: frustration with parliaments and political parties is widespread, the ‘attitudinal consolidation’ of democracy remains incomplete, and there is a significant ethnic gap in popular regime evaluations in Latvia and Estonia.
Examining the dissociative basis for body image disturbances

Although dissociative symptoms have been linked with both food- and appearance-related aspects of eating disorders, the psychological mechanisms underlying these relationships remain unclear. The present study evaluated the hypothesis that the disturbances of self-identity attributed to dissociation can manifest as disturbances of body image and, in turn, undermine body-specific self-evaluations relevant to disordered eating (i.e., body comparison, body dissatisfaction, and internalization of the thin ideal). Ninety-three female university students completed self-report measures of dissociation and body-related aspects of disordered eating. In addition, the method of constant stimuli was used to experimentally derive three measures of body image disturbance: (1) accuracy of body size estimations (body image distortion), (2) ability to discriminate between different body sizes (body image sensitivity), and (3) consistency in one’s body size estimations (body image variability). The findings show that dissociation is related to symptoms of disordered eating, and that these relationships may be mediated by body image instability. Collectively, these findings support the notion that the body image attitudes and behaviours that characterize eating disorders may derive from proprioceptive deficits due to dissociation.
Differences in R & D Composition across US and Japanese Firms : An Explanation ∗

This paper provides an explanation for an observed difference across US and Japanese firms, as to how they divide their R&D efforts between product and process R&D. Firms do product R&D – R&D aimed at improving the quality of existing products, and creating new products. They also do process R&D – R&D aimed at improving existing processes, and creating new processes, so as to lower the cost of making existing and new products. Moreover, firms often do both product and process R&D simultaneously. Mansfield (1988) compared R&D activities across comparable US and Japanese firms, and found that in terms of the share of process R&D in total (product plus process) R&D expenditure, US firms in general did relatively less of process R&D than Japanese firms. It is natural to ask what differences in economic factors between the two countries might have led to this observation. While the importance of this question, and the need to answer it have been recognized,1 to the best of my knowledge no formal answer to this question has been put forth till date. In this paper, I provide a possible explanation for the above mentioned difference in the choice of R&D composition – share of process R&D in total (product plus process) R&D expenditure – across US and Japanese firms. I consider product and process R&D choices of firms in an infinite horizon set-up with discrete time. Firms in my framework can do both product and process R&D simultaneously in every period, and maximize the sum of their discounted profits over the infinite time horizon. In my framework, I find that among firms that differ in their emphasis on short-term vs long-term profits, but are otherwise the same, a firm that puts greater emphasis on short-term profits does relatively less of process R&D, than a firm that puts a greater emphasis on long-term profits. Given the observation that US firms in general have focused more on short-term results compared to Japanese firms,2 I am thus able to provide a potential explanation for the observed difference in Mansfield’s paper ∗I thank Bruno Decreuse, Curtis B. Eaton, Arghya Ghosh, Joseph Harrington, Kieron Meagher, Ted O’ Donoghue, F.M. Scherer, Bill Schworm, and participants at the EARIE Meetings, and at the Australasian Economic Theory Workshop for helpful comments and suggestions. The usual disclaimer applies. †Brunel Business School, Brunel University. See for example, Mansfield (1988), Athey and Schmutzler (1995), Cohen and Klepper (1996) in this regard. I discuss evidence to this effect in detail in Section II of the paper.
Building a Chinese Collocation Bank

This paper presents the design and construction of an annotated Chinese collocation bank as the resource to support systematic research on Chinese collocations. The definition and properties are first studied. Based on a combination of different properties, a classification scheme is proposed to categorize Chinese collocations into four types. With the help of computational tools, bigram collocations and n-gram collocations of 3,643 headwords are manually identified in a 5-million-word corpus. Furthermore, for each identified bigram collocation, its dependency relation, chunking information and classification are annotated to produce a collocation bank. Currently, the Chinese collocation bank contains 23,581 bigram collocations and 2,752 n-gram collocations. The Chinese collocation bank is a valuable resource for Chinese collocation related research. Through statistical analysis on the collocation bank, some interesting characteristics of Chinese bigram collocations are presented in this paper.
Distance associativity for high-performance energy-efficient non-uniform cache architectures

Wire delays continue to grow as the dominant component of latency for large caches. A recent work proposed adaptive, non-uniform cache architecture (NUCA) to manage large, on-chip caches. By exploiting the variation in access time across widely-spaced subarrays, NUCA allows fast access to close subarrays while retaining slow access to far subarrays. While the idea of NUCA is attractive, NUCA does not employ design choices commonly used in large caches, such as sequential tag-data access for low power. Moreover, NUCA couples data placement with tag placement that is possible in a non-uniform access cache. Consequently, NUCA can place only a few blocks within a given cache set in the fastest subarrays, and must employ a high-bandwidth switched network to swap blocks within the cache for high performance. In this paper, we propose the non-uniform access with replacement and placement using distance associativity cache or NuRAPID, which leverages sequential tag-data access to decouple data placement from tag placement. Distance associativity, the placement of data at a certain distance (and latency), is separated from set associativity, the placement of tags within a set. This decoupling enables NuRAPID to place flexibly the vast majority of frequently-accessed data in the fastest subarrays, with fewer swaps than NUCA. Distance associativity fundamentally changes the trade-offs made by NUCA's best-performing design, resulting in higher performance and substantially lower cache energy. A one-ported, non-banked NuRAPID cache improves performance by 3% on average and up to 15% compared to a multi-banked NUCA with an infinite-bandwidth switched network, while reducing L2 cache energy by 77%.
Randomised trial of acupuncture compared with conventional massage and "sham" laser acupuncture for treatment of chronic neck pain.

OBJECTIVES To compare the efficacy of acupuncture and conventional massage for the treatment of chronic neck pain. DESIGN Prospective, randomised, placebo controlled trial. SETTING Three outpatient departments in Germany. PARTICIPANTS 177 patients aged 18-85 years with chronic neck pain. INTERVENTIONS Patients were randomly allocated to five treatments over three weeks with acupuncture (56), massage (60), or "sham" laser acupuncture (61). MAIN OUTCOME MEASURES PRIMARY OUTCOME MEASURE maximum pain related to motion (visual analogue scale) irrespective of direction of movement one week after treatment. SECONDARY OUTCOME MEASURES range of motion (3D ultrasound real time motion analyser), pain related to movement in six directions (visual analogue scale), pressure pain threshold (pressure algometer), changes of spontaneous pain, motion related pain, global complaints (seven point scale), and quality of life (SF-36). Assessments were performed before, during, and one week and three months after treatment. Patients' beliefs in treatment were assessed. RESULTS One week after five treatments the acupuncture group showed a significantly greater improvement in motion related pain compared with massage (difference 24.22 (95% confidence interval 16.5 to 31.9), P=0.0052) but not compared with sham laser (17.28 (10.0 to 24.6), P=0.327). Differences between acupuncture and massage or sham laser were greater in the subgroup who had had pain for longer than five years (n=75) and in patients with myofascial pain syndrome (n=129). The acupuncture group had the best results in most secondary outcome measures. There were no differences in patients' beliefs in treatment. CONCLUSIONS Acupuncture is an effective short term treatment for patients with chronic neck pain, but there is only limited evidence for long term effects after five treatments.
The Changing Nature of Suicide Attacks - A Social Network Perspective

To comprehend the developments underlying the suicide attacks of recent years, we suggest that the organizational approach, which until recently was used to explain this phenomenon, should be complemented with a social network perspective. By employing a social network analysis of Palestinian suicide networks, we have found that, in contrast to prevailing perceptions which view suicide attacks as a product of strategic decisions made within organizational frameworks, decisions have actually been made, to a great extent, by local activists, and struggles between local and family groups have proved to be the best predictor of their actions in this context. We also found that the peripheral nature of suicide bombers has been a characteristic common to most networks. Finally, we have found that the existence of cohesive subgroups, as well as the number of hubs in a network, has an influence on the network's effectiveness. We conclude the paper by showing that the method of network analysis can also be of considerable assistance from the standpoint of dealing with suicide attacks. On the one hand, this is possible by identifying the network's central figures who are essential for its continued existence, and on the other, we identify the grassroots factors responsible for the emergence of these networks.