Miracle-dz/UniFAR-FTUs huggingface dataset:
The Butterfly Defect: How Globalization Creates Systemic Risks, and What to Do about It

The Butterfly Defect addresses the widening gap between the new systemic risks generated by globalization and their effective management. It shows how the dynamics of turbo-charged globalization has the potential and power to destabilize our societies. Drawing on the latest insights from a wide variety of disciplines, Ian Goldin and Mike Mariathasan provide practical guidance for how governments, businesses, and individuals can better manage globalization and risk. Goldin and Mariathasan demonstrate that systemic risk issues are now endemic everywhere—in supply chains, pandemics, infrastructure, ecology and climate change, economics, and politics. Unless we address these concerns, they will lead to greater protectionism, xenophobia, nationalism, and, inevitably, deglobalization, rising inequality, conflict, and slower growth. The Butterfly Defect shows that mitigating uncertainty and risk in an interconnected world is an essential task for our future.
Your Turn or My Turn?: Design of a Human-Machine Interface for Conditional Automation

Cooperative Conditionally Automated Driving (CAD) systems pose new challenges to the development of human-machine interfaces (HMI). The system's current status and intentions must be communicated unambiguously to ensure safe driver-system interaction and acceptance. This topic is becoming increasingly important as advanced automated driving functions are expected to carry out tactical and strategical driving maneuvers. Within the current study, an HMI for CAD was designed and evaluated by a sample of human factors experts (N=6). The participants passed seven interaction scenarios in which they either had to take over control or let the system execute a maneuver. Driving task responsibility was explicitly communicated by the HMI (e.g., by coloring and semantic text information). Quantitative and qualitative system usability was examined during and after the drive. Results pointed towards a very good overall usability and acceptance. Except for one case, interactions went according to the system's intention. Suggested design improvements were implemented.
The Impact of Workplace Spirituality on Organizational Commitment at Schools: The Moderating Effect of Gender

The purpose of this study is to investigate the impact of workplace spirituality on organizational commitment and the moderating role of gender. 112 teachers, working in Gaziantep, in the 2015-2016 academic year, were assessed using the workplace spirituality scale improved by Ashmos and Duchon and translated into Turkish by researchers and also the organizational commitment scale by Meyer and Allen, adapted to Turkish by Wasti. At the end of the research, it was found that there was a moderating role of gender in relation to workplace spirituality with organizational commitment. While the spirituality of the in workplace increases, organizational commitment increases, and male teachers’ organizational commitment was more than female teachers’.
Anisotropy and Antagonism in the Coupling of Two Oscillators: Concepts and Applications for Between-Person Coordination

Coupled oscillators provide a pertinent model approach to study between-person movement dynamics. While ample literature in this respect has considered the influence of external/environmental constraints and/or effects of a difference between the two agents' individual component dynamics (e.g., mismatch in natural frequency), recent studies also started to more directly consider the interaction per-se. The current perspective paper sets forth that while movement coordination dynamics has mainly been studied alongside a model in which the coupling is considered isotropic (i.e., symmetrical; both oscillators coupled to same degree) or strictly unidirectional (e.g., for moving to a given external rhythm), between-agent coupling involves a natural anisotropy: components influence each other bidirectionally to different degrees. Furthermore, recent research from different areas has considered so-called antagonistic or “competitive” coupling, which refers to the idea that one component is positively coupled to the other (attractive interaction), while the coupling in the other direction is negative (repulsive interaction). Although the latter would be rather tricky to address in within-person coordination, it does have strong applications and implications for between-person dynamics, for instance in the study of competitive interactions in sports situations (e.g., attacker-defender) and conflicting social (movement) interactions. The paper concludes by offering a conceptual framework and perspectives for future studies on the dynamic anisotropic nature of the interaction in between-person contexts.
Performance analysis of various optimization techniques for elliptic curve cryptosystems on resource-constrained devices

There is a growing demand of efficient public key cryptosystem in the cyber space. The traditional approach to public key cryptography such as RSA poses a considerable demand of computing resources. There is need of efficient public key cryptosystems so that the confidentiality and integrity remains intact on the one hand, and on the other hand it should be computationally friendly to resource-constraint mobile devices. Elliptic Curve Cryptography is one of the approaches for that. However, it has one major operation called scalar point multiplication that is CPU intensive which needs to be optimized. Further utilizing a different coordinate system for ECC operations may also enhance the problems associated with scalar point multiplication in affine coordinate system. In this context, the optimization and selection of efficient elliptic curve cryptosystem for resource constrained devices is the main motivation of this study.
Vocational training and earnings in Portugal

This paper examines the relationship between wages and vocational training in Portugal. For this purpose, we estimate a semi-logarithmic wage equation using OLS and quantile regression techniques. The results indicate that in some cases vocational training has a positive impact on wages. This is valid for the mean (OLS) and for each conditional quantile of the wage distribution. The paper casts some doubt on the market value of the skills acquired within the apprenticeship system and in the vocational training schools. The results also suggest that the effect of training on wages is not statistically different across different quantiles of that distribution. Therefore, there is no loss of information when we only use the OLS estimator. Keyworks: wage equation, vocational training, quantile regression * University of Amsterdam Address: Roetersstraat 11, 1018 WB Amsterdam, The Netherlands E-mail: hartog@fee.uva. nl ** Faculdade de Economia da Universidade Nova de Lisboa Address: Tv. Estevao Pinto, 1099-032 Lisboa, Portugal E-mail: ppereira@fe.unl. pt ** * Universidade dos Acores Address: Rua Mae de Deus, 9500 P. Delgada, Portugal E-mail: josevieira@notes.uac. pt Acknowledgements: We are thankful to an anonymous referee for helpful suggestions. Financial support from program PRAXIS XXI, grant PRAXIS/2/2.1/CSH/781/95, SAPIENS 99, grant 33089/99 and FEDER is acknowledged.
The Collaborative Filtering Recommendation Based on Similar-Priority and Fuzzy Clustering

Collaborative filtering technique has been proved to be one of the most successful techniques in recommendation systems in recent years. However, most existing collaborative filtering based recommendation systems suffered from its shortage in scalability as their calculation complexity increased quickly both in time and space when the record in user database increases. So, a new collaborative filtering recommendation based on fuzzy similar-priority comparison and fuzzy clustering is presented. This method uses the fuzzy similar-priority comparison to compute user similarity and uses the fuzzy clustering technology to form nearest neighborhood, and then generates recommendations. The experimental results show that the presented algorithm can improve the performance of systems in the recommendation quality.
A New Class of High-Mass X-Ray Binaries: Implications for Core Collapse and Neutron Star Recoil

We investigate an interesting new class of high-mass X-ray binaries (HMXBs) with long orbital periods (Porb > 30 days) and low eccentricities (e ≲ 0.2). The orbital parameters suggest that the neutron stars in these systems did not receive a large impulse, or "kick," at the time of formation. After considering the statistical significance of these new binaries, we develop a self-consistent phenomenological picture wherein the neutron stars born in the observed wide HMXBs receive only a small kick (≲50 km s-1), while neutron stars born in isolation, in the majority of low-mass X-ray binaries, and in many of the well-known HMXBs with Porb ≲ 30 days receive the conventional large kicks, with a mean speed of ~300 km s-1. Assuming that this basic scenario is correct, we discuss a physical process that lends support to our hypothesis, whereby the magnitude of the natal kick to a neutron star born in a binary system depends on the rotation rate of its immediate progenitor following mass transfer—the core of the initially more massive star in the binary. Specifically, the model predicts that rapidly rotating precollapse cores produce neutron stars (NSs) with relatively small kicks, and vice versa for slowly rotating cores. If the envelope of the NS progenitor is removed before it has become deeply convective, then the exposed core is likely to be a rapid rotator. However, if the progenitor becomes highly evolved prior to mass transfer, then a strong magnetic torque, generated by differential rotation between the core and the convective envelope, may cause the core to spin down to the very slow rotation rate of the envelope. Our model has important implications for the dynamics of stellar core collapse, the retention of neutron stars in globular clusters, and the formation of double neutron star systems in the Galaxy.
Geoscience Laser Altimeter System (GLAS) on the ICESat Mission: On‐orbit measurement performance

The GLAS instrument on NASA's ICESat satellite has made over 904 million measurements of the Earth surface and atmosphere through June 2005. During its first seven operational campaigns it has vertically sampled the Earth's global surface and atmosphere on more than 3600 orbits with vertical resolutions approaching 3 cm. This paper summarizes the on‐orbit measurement performance of GLAS to date.
Is the World Linear? Dedicated to Kurt Mehlhorn's 60th Birthday

Super-resolution is the art of creating nice high-resolution raster images from given low-resolution raster images. Since "nice" is not a well-defined term in mathematics and computer science, we propose a linear model of the world that allows us, under certain conditions, to achieve perfect super-resolution for arbitrarily high resolution. For example, we may now create a larger-than-life picture of Kurt.
The ASCA Medium-Sensitivity Survey (The GIS Catalog Project): Source Counts and Evidence for Emerging Population of Hard Sources

We present first results from the ASCA Medium-Sensitivity Survey (or the GIS catalog project). From the serendipitous fields amounting to 106 deg2, we determined the log N-log S relations in the 0.7-7 and 2-10 keV bands with the best statistical accuracy obtained so far, over the flux range from 1 × 10-11 to 5 × 10-14 and 1 × 10-11 to 7 × 10-14 ergs s-1 cm-2, respectively. When the sources detected in the 0.7-7 keV band are divided into two subsamples with higher and lower spectral hardness, the former exhibits a significantly steeper slope than the latter at fluxes below ~10-12 ergs s-1 cm-2 (0.7-7 keV). The average spectrum of sources becomes continuously harder toward fainter fluxes, from a photon index of 2.1 in the 0.7-10 keV range at the flux of ~10-11 to 1.6 at ~10-13 ergs s-1 cm-2 (0.7-7 keV). This is consistent with the comparison of source counts between the 2-10 and the 0.7-2 keV bands and solves the puzzle of their discrepancy reported previously. Our results demonstrate rapid emergence of hard X-ray sources with a decreasing flux from ~10-12 to ~10-13 ergs s-1 cm-2 (2-10 keV).
Non-rigid Registration for MPU Implicit Surfaces

Implicit surface representation is well suited for surface reconstruction from a large amount of 3D noisy data points with non-uniform sampling density. Previous 3D non-rigid model registration methods can only be applied to the mesh or volume representations, but not directly to implicit surfaces. To our best knowledge, the previous 3D registration methods for implicit surfaces can only handle rigid transformation and they must keep the data points on the surface. In this paper, we propose a new 3D non-rigid registration algorithm to register two multi-level partition of unity (MPU) implicit surfaces with a variational formulation. The 3D non-rigid transformation between two implicit surfaces is a continuous deformation function, which is determined via an energy minimization procedure. Under the octree structure in the MPU surface, each leaf cell is transformed by an individual affine transformation associated with an energy that is related to the distance between two general quadrics. The proposed algorithm can directly register between two 3D implicit surfaces without sampling on the two signed distance functions or polygonalizing implicit surfaces, which makes our algorithm efficient in both computation and memory requirement. Experimental results on 3D human organ and sculpture models demonstrate the effectiveness of the proposed algorithm.
Empirical Research on the Dynamic Correlation between SHIBOR and NDF Implied Interest Rate

Unlike exist study on the spill-over effect between RMB exchange rate and interest rate, this paper is the first study on the spill-over effect between money market and RMB NDF market. Two multivariate GARCH models including diagonal VEC and BEKK are employed to analyze the dynamic correlation between SHIBOR and Non-deliverable forward implied interest rate (NDF IR). Two short-term interest rates with maturity of 1-week and 3-month are studied here. The results show that there exists dynamic correlation between NDF IR and SHIBOR. In term of volatility, 3-month NDF IR shows significant time varying variance characteristic and volatility persistence, and affects 3-month SHIBOR more significant than the effect on 1-week SHIBOR by 1-week NDF IR On the contrary, SHIBOR has little effect on NDF IR. 3-month SHIOR and NDF IR shows strong co-movement, but weak between the term of 1-week By studying the relationship between NDF IR and SHIBOR, we conclude that RMB NDF has a strong spill-over effect on Chinese money market, especially on 3-month market.
Line rate parallel packet classification module for NetFPGA platform

Multi field packet classification is the enabling function for many novel and emerging network applications. Exponential growth of Internet traffic and classification rule sets demand novel hardware based architectural approaches to packet classification. Even though this is an immensely studied area, packet classification that supports scalability in both line rates and rule sets is scarce. In this paper we present experience gained while implementing a parallel packet classification engine architecture on a popular reconfigurable router platform. The architecture exploits parallelism offered in modern hardware technologies to classify multiple packets simultaneously to increase the throughput. The architecture is also capable of utilizing temporal locality present in internet traffic to increase the throughput. The Architecture was implemented on NetFPGA platform and packet classification was done at full line rate without degrading the data rate or the round trip time.
MYB97, MYB101 and MYB120 Function as Male Factors That Control Pollen Tube-Synergid Interaction in Arabidopsis thaliana Fertilization

Pollen tube reception involves a pollen tube-synergid interaction that controls the discharge of sperm cells into the embryo sac during plant fertilization. Despite its importance in the sexual reproduction of plants, little is known about the role of gene regulation in this process. We report here that the pollen-expressed transcription factors MYB97, MYB101 and MYB120 probably control genes whose encoded proteins play important roles in Arabidopsis thaliana pollen tube reception. They share a high amino acid sequence identity and are expressed mainly in mature pollen grains and pollen tubes. None of the single or double mutants of these three genes exhibited any visible defective phenotype. Although the myb97 myb101 myb120 triple mutant was not defective in pollen development, pollen germination, pollen tube growth or tube guidance, the pollen tubes of the triple mutants exhibited uncontrolled growth and failed to discharge their sperm cells after entering the embryo sac. In addition, the myb97 myb101 myb120 triple mutation significantly affected the expression of a group of pollen-expressed genes in mature pollen grains. All these results indicate that MYB97, MYB101 and MYB120 participate in pollen tube reception, possibly by controlling the expression of downstream genes.
Design Review in Small Communities

The central question of this study is whether and how the broader paradigmatic changes in social discourse, as exemplified by the postmodernism debate, are reflected in the practical world of local land-use regulations, specifically the design-review processes. We identify the paradigmatic themes of postmodernism as ‘place’, ‘sustainability’, and ‘participative democracy’. To address this central question we surveyed the officials in positions of implementing land-use controls in 87 (out of a sample set of 177) communities in Wisconsin having a population ranging from 2000 to 100 000, in order to identify their attitudes towards design review. In addition to questions on existing land-use regulations, our survey asked what types of objectives may be accomplished by design review and how, that is, whether they should be addressed by land-use regulations at all and, if so, the desired degree of ‘formality’ of the regulations. The data, analyzed by Ward's cluster analysis method (using SAS), show three different sets of attitudes to design review: (1) modernist technocratic, (2) postmodernist technocratic, and (3) postmodernist critical. Here we discuss these attitudes in terms of the types of objectives they address and the formality of regulations that they favor. Unlike the modernist point of view that strives to establish universal relationships as the basis for review standards, the postmodernist view suggests a situational research approach to discover relationships that may be unique and local. However, a design-review process that allows and encourages critical dialogue and interpretation, rather than self-administrating standards, is more vulnerable to public and legal challenges. This necessitates new operational and practical methodologies for education, planning, and design review that are capable of responding to the challenges of the emerging postmodernist views.
Robust Dialog Management with N-Best Hypotheses Using Dialog Examples and Agenda

This work presents an agenda-based approach to improve the robustness of the dialog manager by using dialog examples and n-best recognition hypotheses. This approach supports n-best hypotheses in the dialog manager and keeps track of the dialog state using a discourse interpretation algorithm with the agenda graph and focus stack. Given the agenda graph and n-best hypotheses, the system can predict the next system actions to maximize multi-level score functions. To evaluate the proposed method, a spoken dialog system for a building guidance robot was developed. Preliminary evaluation shows this approach would be effective to improve the robustness of example-based dialog modeling.
Contribution of women managers towards construction industry development : Methodological perspectives

This paper endeavours to explain the methodology for researching the contribution of women managers to the construction industry development. The research is concerned with gender segregation in the industry and its impact on skills shortages. It further identifies how an increased number of women managers in the construction industry will help to change the gender segregation pattern and how this may contribute to the development of the industry by resolving the problems within it. This paper therefore mainly focuses on the research methodology that has been adopted in this research. Justifications are made for the most appropriate choice of methodology in terms of its philosophy, strategy and techniques. This paper further elaborates the chosen methodology, by explaining the data collection and analysis techniques, the research design and the design tests.
Phase II Trial of Angiotensin-(1-7) for the Treatment of Patients with Metastatic Sarcoma

Background. Angiotensin-(1-7) [Ang-(1-7)] is an endogenous antiangiogenic hormone with anticancer activity. In a phase I study of Ang-(1-7), two of three patients with metastatic sarcoma experienced disease stabilization. This phase II study examined clinical and biomarker outcomes for patients with metastatic sarcoma. Methods. Ang-(1-7) was administered by subcutaneous injection at a dose of 20 mg daily. If excessive toxicities occurred in the first cohort, a dose deescalation cohort was allowed. Blood samples were obtained to measure changes in biomarkers. Results. Treatment was well-tolerated and the dose deescalation cohort was not required. Plasma PlGF concentrations following treatment were not statistically significantly changed. A significant increase in plasma Ang-(1-7) was observed at 4 hours after injection. The median progression-free survival was 2.7 months (95% CI; 1.4 to 4.1 months), and the median overall survival was 10.2 months (95% CI; 5.3 to 18.3 months). Two patients with vascular sarcomas demonstrated prolonged disease stabilization of 10 months (hemangiopericytoma) and 19 months (epithelioid hemangioendothelioma). Conclusions. Ang-(1-7) at a dose of 20 mg daily was well-tolerated. This prospective phase II study failed to confirm the PlGF biomarker effect identified in the prior phase I study. Prolonged disease stabilization in hemangiopericytoma and epithelioid hemangioendothelioma may warrant further investigation.
Adaptive sparse channel estimator for OFDM systems

An adaptive sparse channel estimator based on compressive sensing for OFDM systems is proposed. Unlike conventional compressive channel estimator with a prior knowledge of the channel spaisity, the proposed channel estimator can extract information on sparsity of the channel adaptively by introducing the ASMP algorithm. Moreover, the proposed channel estimator has a superior estimate performance due to the backtracking refinement process in the ASMP algorithm. The estimation performance for the sparse channel is analysis in terms of mean square error (MSE). Simulation results demonstrate substantial performance gains of the proposed estimator over conventional compressive channel estimator.