Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of the novel serologic anti‐glycan antibodies anti‐laminarin and anti‐chitin with complicated Crohn's disease behavior

Background: We tested a panel of novel serological anti‐glycan antibodies including the previously unpublished anti‐laminarin IgA (Anti‐L) and anti‐chitin IgA (Anti‐C) carbohydrate antibodies for the presence in Crohn's disease (CD) patients, diagnosis and differentiation of CD, association with complicated disease behavior, and marker stability over time. Methods: The presence of Anti‐L, Anti‐C, anti‐chitobioside IgA (ACCA), anti‐laminaribioside IgG (ALCA), anti‐mannobioside IgG (AMCA), and anti‐Saccaromyces cervisiae IgG (gASCA) carbohydrate antibodies were tested in serum samples from 824 participants (363 CD, 130 ulcerative colitis [UC], 74 other gastrointestinal diseases, and 257 noninflammatory bowel/gastrointestinal disease controls) of the German IBD‐network by enzyme‐linked immunosorbent assay (ELISA; Glycominds, Lod, Israel) and for perinuclear antineutrophil cytoplasmic antibody (pANCA) by immunofluorescence. Results: In all, 77.4% of the CD patients were positive for at least 1 of the anti‐glycan antibodies. gASCA or the combination of gASCA/pANCA remained most accurate for the diagnosis of CD, but the combined use of the antibodies improved differentiation of CD from UC. Several single markers as well as an increasing antibody response were independently linked to a severe disease phenotype, as shown for the occurrence of complications, CD‐related surgery, early disease onset, and ileal disease location. This was observed for both quantitative and qualitative antibody responses. The antibody status remained stable over time in most IBD patients. Conclusions: A panel of anti‐glycan antibodies including the novel Anti‐L and Anti‐C may aid in differentiation of CD from UC, is associated with complicated CD behavior and IBD‐related surgery, and is stable over time in a large patient cohort. Inflamm Bowel Dis 2009
An integrated sustainable manufacturing strategy framework using fuzzy analytic network process

This paper adopts a fuzzy analytic network process approach for developing a sustainable manufacturing strategy under the influence of stakeholders’ interests. Frameworks developed in literature tend to structure manufacturing strategy in such a way that addresses market needs and expectations. As the move towards sustainability becomes highly pronounced, literature in domain manufacturing is developing approaches and initiatives that explore different facets of sustainability. However as this impetus becomes increasingly famous, manufacturing firms are faced with the challenge of integrating sustainability with the classical function of manufacturing, which is to support firms’ competitive advantages. Thus, an inclusive approach would constitute a manufacturing strategy that would support not only sustainability but enhance the competitive strategy of a firm. In order to integrate these two objectives it is necessary to take into consideration the different stakeholders’ interests as significant drivers towards sustainability. This work explores the significance of these interests when developing a manufacturing strategy using the proposed approach. In the proposed method, an analytic network process handles the complexity of the decision framework, and judgment elicitation during pairwise comparisons is described using linguistic variables with equivalent triangular fuzzy numbers. The proposed approach is useful when handling complexity and uncertainty especially in group decisionmaking. The content of the sustainable manufacturing strategy using a fuzzy analytic process is presented in this paper. © 2015 PEI, University of Maribor. All rights reserved.
Multi-Label Rules Algorithm Based Associative Classification

Current associative classification (AC) algorithms generate only the most obvious class linked with a rule in the training data set and ignore all other classes. We handle this problem by proposing a learning algorithm based on AC called Multi-label Classifiers based Associative Classification (MCAC) that learns rules associated with multiple classes from single label data. MCAC algorithm extracts classifiers from the whole training data set discovering all possible classes connected with a rule as long as they have sufficient training data representation. Another distinguishing feature of the MCAC algorithm is the classifier building method that cuts down the number of rules treating one known problem in AC mining which is the exponential growth of rules. Experimentations using real application data related to a complex scheduling problem known as the trainer timetabling problem reveal that MCAC's predictive accuracy is highly competitive if contrasted with known AC algorithms.
Near-Field Acousto Monitoring Shear Interactions Inside a Drop of Fluid: The Role of the Zero-Slip condition

A full understanding of nanometer-range (near-field) interactions between two sliding solid boundaries, with a mesoscopic fluid layer sandwiched in between, remains challenging. In particular, the origin of the blue-shift resonance frequency experienced by a laterally oscillating probe when approaching a substrate is still a matter of controversy. A simpler problem is addressed here, where a laterally oscillating solid probe interacts with a more sizable drop of fluid that rests on a substrate, aiming at identifying interaction mechanisms that could also be present in the near-field interaction case. It is found that the inelastic component of the probe-fluid interaction does not constitute the main energy-dissipation channel and has a weak dependence on fluid’s viscosity, which is attributed to the zero-slip hydrodynamic condition. In contrast, the acoustic signal engendered by the fluid has a stronger dependence on the fluid’s viscosity (attributed also to the zero-slip hydrodynamic condition) and correlates well with the probe’s resonance frequency red-shift. We propose a similar mechanism happens in near field experiments, but a blue-shift in the probe’s resonance results as a consequence of the fluid molecules (subjected to the zero-slip condition at both the probe and substrate boundaries) exerting instead a spring type restoring force on the probe.
Exploring the impact of the board of directors on the performance of not‐for‐profit organizations

Purpose – This paper aims to examine the impact of board of directors on the performance of not‐for‐profit (NFP) organizations. The study also aims to utilize the six dimensions of effective board performance as suggested by Chait et al., using the theoretical explanations of the resource dependency theory, the agency theory, and the group/decision processes theory. By explaining how these board activities influence organizational performance, we can begin to understand the importance of board influence in determining organizational effectiveness as measured by organizational performance.Design/methodology/approach – For the purpose of this study, organizational performance attributes are used in line with the strategy used by Nobbie and Brudney. The measurement used includes the perception of board members' view of the overall success in meeting organizational goals, increase or decrease in the number of programs offered by the organization, improvement in the quality of service offered by the organizati.
Demanding customers in the Chinese context

This research explores the unexpectedly demanding nature of local customers in foreign invested retail stores in China. Data are drawn from interviews conducted with over 200 local and expatriate staff at UK and Japanese-invested stores. The study briefly outlines China's retail sector, provides case study examples of ‘demanding’ customers and then suggests factors that might account for these characteristics. In particular, it highlights the extent to which China's marketplace is characterized by low trust. Finally, the work notes that China's demanding customers influence the nature of firms' service provision and have positive consequences for staff training and skills upgrading.
Do Retail Incentives Work in Privatizations?

20 countries around the world have used incentive packages, including bonus shares and discounts, to attract retail investors to participate in privatizations. Using a unique dataset, we estimate the total cost of incentive packages at approximately $27 billion. The expiration of bonus share plans is associated with a six-day abnormal return of -1.1% and a long-term increase in volume. Incentives have been surprisingly effective in meeting stated privatization objectives. A dollar spent on retail incentives helps to attract about 21 times as many investors as a dollar spent on underpricing. Individual-level analysis shows that flipping is not only much reduced in the short term, but also declines by at least 15% over a period of 1,000 trading days.
Primary Schooling, Cognitive Skills and Wages in South Africa

Using a fairly rich data set from South Africa, the paper finds that, despite the sobriquet 'gutter education', the African schooling systems help to create cognitive skills, and these skills are a determinant of wage levels. Various robust estimators are used but the influential outlier problem does not turn out to be serious. Computational skills appear to be more important than comprehension skills in influencing wages. The African primary schooling system was an extremely poor generator of computational skill, the seven-year course raising the computational test score by 13%, if that. A policy implication is that productivity could be raised by certain near-costless reallocations of resources in favour of mathematical learning.
The TOG protein Stu2/XMAP215 interacts covalently and noncovalently with SUMO

Stu2p is the yeast member of the XMAP215/Dis1/ch‐TOG family of microtubule‐associated proteins that promote microtubule polymerization. However, the factors that regulate its activity are not clearly understood. Here we report that Stu2p in the budding yeast Saccharomyces cerevisiae interacts with SUMO by covalent and noncovalent mechanisms. Stu2p interacted by two‐hybrid analysis with the yeast SUMO Smt3p, its E2 Ubc9p, and the E3 Nfi1p. A region of Stu2p containing the dimerization domain was both necessary and sufficient for interaction with SUMO and Ubc9p. Stu2p was found to be sumoylated both in vitro and in vivo. Stu2p copurified with SUMO in a pull‐down assay and vice versa. Stu2p also bound to a nonconjugatable form of SUMO, suggesting that Stu2p can interact noncovalently with SUMO. In addition, Stu2p interacted with the STUbL enzyme Ris1p. Stu2p also copurified with ubiquitin in a pull‐down assay, suggesting that it can be modified by both SUMO and ubiquitin. Tubulin, a major binding partner of Stu2p, also interacted noncovalently with SUMO. By two‐hybrid analysis, the beta‐tubulin Tub2p interacted with SUMO independently of the microtubule stressor, benomyl. Together, these findings raise the possibility that the microtubule polymerization activities mediated by Stu2p are regulated through sumoylation pathways.
Sources of Corporate Environmental Performance

What motivates business firms to significantly improve their environmental performance? Why do some companies achieve better environmental performance than others? Through a study of 14 pulp mills in the U.S., Australia, New Zealand, and Canada, this article shows that more stringent regulatory requirements and increasing political pressure have brought about large improvements and convergence in environmental performance over the last 30 years, with many mills exceeding compliance requirements. In addition, corporate environmental management style and social license pressures from local communities and environmental activists have prodded some facilities further beyond compliance than others, while economic pressures have limited just how far ahead facilities have been willing to move.
Analysing the ‘Black Box’ of HRM: Uncovering HR Goals, Mediators and Outcomes in a Standardised Service Environment

This multi‐level study analyses the ‘black box’ of HRM in an Australian cinema chain, a standardized service environment. Management's espoused goals for the casual workers who run the cinema service include attempts to build customer‐oriented behaviour, both directly and via empowerment, and also efforts to ensure compliance with company policies and to enhance employee commitment. Our analysis of an employee survey and supervisory performance ratings shows that it is behavioural compliance that is positively associated with rated performance rather than customer‐oriented behaviour. While customer service is an important value, it is willing engagement with a highly scripted, efficiency‐oriented work process that makes it happen, not a more empowering form of work design. On the other hand, the management process also fosters a level of employee commitment, which has some value in a tight labour market. The study demonstrates the way in which actual models of HRM can contain a complex and ‘contradictory’ set of messages, consistent with critical accounts of the labour process and suggesting that notions of ‘internal fit’ need to recognize such tensions. It underlines the importance of identifying the multiple goals in management's espoused theories of HRM and then assessing their links via managerial behaviour and employee responses to performance outcomes.
Microstrip antenna and rectifier for wireless power transfar at 94GHz

In this research, 94GHz microstrip antenna and rectifier was developed by MEMS technology for high power wireless power transfer system. To reduce the fabrication cost, a finline was also developed for RF power transmission from the wave guide to the microstrip line. As a result, the reflection loss was less than 1% and the antenna gain was 1.85 dBi. The rectifying efficiency was 38% with 105mW input power and 125 Ω DC load.
Convergence of the multigrid reduction in time algorithm for the linear elasticity equations

This paper presents some recent advances for parallel‐in‐time methods applied to linear elasticity. With recent computer architecture changes leading to stagnant clock speeds, but ever increasing numbers of cores, future speedups will be available through increased concurrency. Thus, sequential algorithms, such as time stepping, will suffer a bottleneck. This paper explores multigrid reduction in time (MGRIT) for an important application area, linear elasticity. Previously, efforts at parallel‐in‐time for elasticity have experienced difficulties, for example, the beating phenomenon. As a result, practical parallel‐in‐time algorithms for this application area currently do not exist. This paper proposes some solutions made possible by MGRIT (e.g., slow temporal coarsening and FCF‐relaxation) and, more importantly, a different formulation of the problem that is more amenable to parallel‐in‐time methods. Using a recently developed convergence theory for MGRIT and Parareal, we show that the changed formulation of the problem avoids the instability issues and allows the reduction of the error using two temporal grids. We then extend our approach to the multilevel case, where we demonstrate how slow temporal coarsening improves convergence. The paper ends with supporting numerical results showing a practical algorithm enjoying speedup benefits over the sequential algorithm.
Differential Effects of Post-School Training on Early Career Mobility

This paper examines in detail the factors that influence the probability of new entrants leaving their first job after completing school, including the differential effects of company provided training, apprenticeships, and training received off-the-job from for profit proprietary institutions. Particular attention is paid to how training effects vary by race, gender and educational attainment. In the paper it is shown that the majority of company provided training spells begin after an employee has been with an employer for at least one year while the majority of off-the-job training spells begin during the first year with an employer. Overall there is no significant difference in the probability of leaving the first employer by gender. Company provided training results in a lower probability of leaving an employer while off-the-job training increases the probability of leaving the first employer. Both of these effects are especially strong for women.
Activation of new replication foci under conditions of replication stress

DNA damage, binding of drugs to DNA or a shortage of nucleotides can decrease the rate or completely halt the progress of replication forks. Although the global rate of replication decreases, mammalian cells can respond to replication stress by activating new replication origins. We demonstrate that a moderate level of stress induced by inhibitors of topoisomerase I, commencing in early, mid or late S-phase, induces activation of new sites of replication located within or in the immediate vicinity of the original replication factories; only in early S some of these new sites are also activated at a distance greater than 300 nm. Under high stress levels very few new replication sites are activated; such sites are located within the original replication regions. There is a large variation in cellular response to stress – while in some cells the number of replication sites increases even threefold, it decreases almost twofold in other cells. Replication stress results in a loss of PCNA from replication factories and a twofold increase in nuclear volume. These observations suggest that activation of new replication origins from the pool of dormant origins within replication cluster under conditions of mild stress is generally restricted to the original replication clusters (factories) active at a time of stress initiation, while activation of distant origins and new replication factories is suppressed.
Intertemporal Solvency in the Small Open Economy of Australia

This paper employs cointegration and multicointegration analysis to explore the issue of external solvency in the small open economy of Australia. Results indicate that, in the fixed exchange-rate era, exports and imports are multicointegrated, while, in the more recent floating exchange-rate period, the series do not share a conventional long-run equilibrium relationship. The results are consistent with intertemporal external solvency in the early period and insolvency more recently. Sustainability criteria are reviewed. Indications are that low saving and investment rates may inhibit Australia's ability to sustain persistent external imbalances; however, recent fiscal adjustments may work to abate this problem. Copyright 1998 by The Economic Society of Australia.
Global Media Cities in a World-wide Urban Network

This article examines the link between cities and culture from the point of view of the production of cultural goods, including media products. It focuses on the institutional structure of present-day cultural production and the media industry and on their geographical organization at the local and global levels. The cultural economy is a prime mover for globalization processes in the urban system, in which cultural production clusters act as local nodes in the global networks of the large media groups. The models frequently used to analyse the global city system will be supplemented and partially modified by an empirical analysis of the 'world media cities'. The analysis of the world media cities enables those locations to be identified, from which globalization in the spheres of culture and the media proceeds and is 'produced' in practical terms. Global city research has predominantly emphasized the role of advanced producer services—in contrast this article concludes that for the process of globalization the globally operating media firms are at least as influential as the global providers of corporate services, because they create a cultural market space of global dimensions, on the basis of which the specialized global service providers can ensure the practical management of global production and market networks.
Measuring trade in financial services

Although it has always been present, the importance of trade in financial services has increased greatly in the past two decades with the internationalisation of banking and the growth of international financial centres as the bases for offshore currency markets and other activities linking national capital markets. The question naturally arises how to measure the value and growth of this trade in financial services. The issues involved in this question are closely related to the difficulties that have been encountered in the treatment of financial enterprises in social accounts for national economies. In this context, the author investigates.
Evaluation practices of scientific research in the Netherlands

This article takes stock of Dutch evaluation practices for publicly funded basic and strategic research in three different contexts: institutional strategy formulation; allocative decision-making; and research and science policy strategy. The different evaluation practices are dealt with in detail, by describing their technical set-up. In conclusion, the main challenge for science policy over the next few years is discussed: how can the different evaluation practices be bridged, including the integration of the societal point of view within evaluation practice. Copyright , Beech Tree Publishing.
An Ant-Based Algorithm to Solve Distributed Constraint Optimization Problems

As an important population-based algorithm, ant colony optimization (ACO) has been successfully applied into various combinatorial optimization problems. However, much existing work in ACO focuses on solving centralized problems. In this paper, we present a novel algorithm that takes the power of ants to solve Distributed Constraint Optimization Problems (DCOPs), called ACO_DCOP. In ACO_DCOP, a new mechanism that captures local benefits is proposed to compute heuristic factors and a new method that considers the cost structure of DCOPs is proposed to compute pheromone deltas appropriately. Moreover, pipelining technique is introduced to make full use of the computational capacity and improve the efficiency. In our theoretical analysis, we prove that ACO_DCOP is an anytime algorithm. Our empirical evaluation indicates that ACO_DCOP is able to find solutions of equal or significantly higher quality than state-of-the-art DCOP algorithms.