Miracle-dz/UniFAR-FTUs huggingface dataset:
‘An Eye for an Eye’ or ‘Live and Let Live’

This study examines how competition between organizations is coordinated and where such coordinated market order comes from. Specifically, drawing on the mutual forbearance hypothesis and social exchange perspective, the study analyzes the effect of multimarket contact on the rates of market entry and exit in the hospital industry of Korea from 1980 to 2008. Results support the notion that multimarket competitors are likely to coordinate their competitive activities and mutually forbear from competing with one another. For example, a hospital tends to be reluctant to enter the market in which its multimarket competitors are present, because such aggressive entry might provoke the rivals’ retaliatory responses not only in that market, but also in other multiple markets they jointly contest. In addition, this study aims to refine the mutual forbearance theory by putting another focus on where such golden rule of mutual forbearance comes from. In line with organizational learning theory, we argue that organizational memories or prior experiences accumulated over the organization’s history provide an incentive to abide by the golden rule. This argument is supported by empirical analyses, which show that retaliatory responses to aggression and compensatory responses to cooperation are widely practiced in the industry and that organizational tenure in the industry increases the probability of living by the coordinated system of mutual forbearance. These results imply that market order can be constructed and sustained by organizational learning.
VELOCITY CORRELATIONS BETWEEN IMPINGING AND REFLECTING PARTICLES USING MD SIMULATIONS AND SEVERAL STOCHASTIC BOUNDARY CONDITIONS

The replacement of the the explicit wall in Molecular Dynamics (MD) simulations of nanochannels with an appropriate wall model is important to model the behavior of the gas close to the channel wall correctly. In this paper a comparison of four different wall models with explicit wall MD simulations is reported in the case of a gas confined between a warm and cold plate. Accommodation coe cients are computed from the explicit wall MD simulations using di erent techniques. Examples are given that for the same system di erent methods may produce di erent accommodation coe cients. The computed accommodation coe cients are subsequently used as input to some of the wall models. From comparison of simulations with explicitly modelled walls or using wall models it is shown that it is not only important to look at the distribution of outgoing velocities, but also at the correlation of incoming and outgoing velocities.
Triangulating the GRID: A corpus-based cognitive linguistic analysis of five Greek emotion terms

This chapter discusses two different approaches to the meaning of emotion terms, corpus-based linguistic analysis and feature profiling as carried out within the GRID, in order to compare their results and explore the potential for cross-fertilisation between them. To this end, we present an analysis of five Greek emotion terms (aghonia, ‘anguish’, erotas, ‘romantic love’, siginisi, ‘being touched or moved by sth’, lipi, ‘sorrow’, and stenokhorja, ‘chagrin’) investigated using both the GRID and a corpus-based methodology. For the needs of the latter, occurrences of each term were located in the Hellenic National Corpus and analysed within Halliday’s framework of systemic functional grammar, paying particular attention to his notion of grammatical metaphor (Halliday 1998), in virtue of which human experience is re-packaged into grammatical functions within the clause (subject, complement, etc.). We found that the corpus analyses offer independent support for the GRID results. In addition, they afford us with original insights into the meanings of emotion terms, and in particular into differences between terms that remained indistinguishable on the basis of the GRID (near-synonyms). In conclusion, we argue for the usefulness of combining the two approaches as a way of arriving at a more comprehensive picture of the meanings of emotion terms.
Present and the future of axiomatic theory of boxed pigs

Boxed pigs or rational pigs are well-known stories with many editions of game theory. In order to promote these to a systematic and scientific theory, an axiomatic theory, called L-system of boxed pigs, is established and some special subsystems are deduced from it. In this article, we introduce the background, the main results and the future research plan of axiomatic theory of boxed pigs. This introduction is divided into the following five aspects: appearance of boxed pigs, development and actualities of boxed pigs or rational pigs, boxed pigs in China, L-system of axiomatic theory of boxed pigs, and future research------non L-systems of axiomatic theory of boxed pigs.
An Algorithm Based on Singular Spectrum Analysis for Change-Point Detection

Abstract This paper is devoted to application of the singular-spectrum analysis to sequential detection of changes in time series. An algorithm of change-point detection in time series, based on sequential application of the singular-spectrum analysis is developed and studied. The algorithm is applied to different data sets and extensively studied numerically. For specific models, several numerical approximations to the error probabilities and the power function of the algorithm are obtained. Numerical comparisons with other methods are given.
Tourism and Growth in a Cross Section of Countries

The authors provide an empirical assessment of the relationship between tourism specialization and economic growth by updating the findings of previous papers written on this issue. They use data for more than 150 countries, covering different time spans between 1980 and 2005. Contrary to previous findings (for example, Brau et al, 2004 and 2007), tourism-based countries did not grow at a higher rate than non-tourism-based countries, except for the 1980–1990 period for which, however, the data on international tourism were not fully reliable. Estimating visitor spending through the segmentation approach has several advantages in terms of policy evaluation, user management and sampling design. This approach generally relies on visitor surveys to estimate two parameters, average spending per segment and segment share, so that total visitation can be apportioned to each subgroup. Equivalently, this approach is to estimate the weighted average spending by taking into consideration the relative shares of each user segment. This paper first provides a statistical formula to compute the variance of weighted average spending by taking into account the stochastic nature of spending and segment shares. Second, simulation analysis is adopted to compare the accuracy and precision of the spending estimator based on different study designs. The results show that conducting additional short surveys to obtain information on user segments provides two advantages. First, it helps to reduce non-response bias since certain visitor groups have higher ratios of unreturned questionnaires, incomplete data or non-participation. Second, it helps to decrease the variance of the estimator so that the upper and lower bound of the confidence interval can be narrowed. The level of variance reduction will depend on the relative segment shares, the average spending, cases that are obtained, spending variation and the probability of giving full spending information across segments. The implications for survey design are offered in light of the results. This study examines the impact of the Federal Reserve (Fed) monetary policy on US hospitality stock returns. Specifically, this research paper investigates the stock performance of US hospitality firms under different Fed monetary policy regimes. Hospitality companies include gambling firms, lodging companies and restaurants. Changes in the discount rate and federal funds rate are used to measure shifts in the Fed monetary policy and to classify the full monetary policy period as either a restrictive or an expansive monetary policy environment. An expansive monetary condition is a period with a decrease in the discount or federal funds rate; a restrictive monetary environment experiences an increase in the discount or federal funds rate. Empirical test results reveal that the influence of the two monetary policy indicators on hospitality stock returns varies to a great extent. The stock returns of US restaurants are related significantly to changes in the federal funds rate. However, changes in the discount rate generally have no strong impact on US hospitality stock returns.
On Some Problems of Rounding Rank

This thesis is devoted to the study of the rounding rank problem: Given a binary matrix and a real number, the rounding threshold, we want to find the real-valued matrix of lowest rank, that after rounding according to the given threshold results in the given input matrix. We call this rank the rounding rank. Using the theory of hyperplane arrangements, we prove that rounding rank is polynomialtime equivalent to finding the smallest-dimensional Euclidean space, such that we can separate certain subsets of points by affine hyperplanes. We also tightly characterise the role of the rounding threshold. The results show that changing the rounding threshold can increase the rounding rank only by a constant. We further classify when this happens. The thesis also contains two algorithms that heuristically compute approximations of the rounding rank. The first algorithm is motivated by the Eckart–Young Theorem and is based on truncated singular value decomposition. The second algorithm is a randomised algorithm, which uses intuition from hyperplane arrangements and applies linear programming. Both algorithms were tested on synthetic and on real-world data. Rounding rank is closely related to sign rank. In this thesis we give the first comprehensive summary of the existing literature on this topic. In addition, for the first time sign rank and work on the geometric representation of graphs are related to one another.
Influence of Inversion on Mg Mobility and Electrochemistry in Spinels

Magnesium oxide and sulfide spinels have recently attracted interest as cathode and electrolyte materials for energy-dense Mg batteries, but their observed electrochemical performance depends strongly on synthesis conditions. Using first-principles calculations and percolation theory, we explore the extent to which spinel inversion influences Mg2+ ionic mobility in MgMn2O4 as a prototypical cathode, and MgIn2S4 as a potential solid electrolyte. We find that spinel inversion and the resulting changes of the local cation ordering give rise to both increased and decreased Mg2+ migration barriers, along specific migration pathways, in the oxide as well as the sulfide. To quantify the impact of spinel inversion on macroscopic Mg2+ transport, we determine the percolation thresholds in both MgMn2O4 and MgIn2S4. Furthermore, we analyze the impact of inversion on the electrochemical properties of the MgMn2O4 cathode via changes in the phase behavior, average Mg insertion voltages and extractable capacities, at var.
Mobile based vibration monitoring and its application to road quality monitoring in deep underground mine

Road quality is an important issue in everyday life for all car owners. This issue seems to be critically important in underground mines, where LHD machines are used for material transport. One of the biggest problems for LHD operation is relatively quick tires degradation. One of possible reasons might be road surface quality, indeed. However, driver's skills as well as ways of machine operation (loading, acceleration, breaking.) might also play a crucial role. Nowadays, many of machines are equipped with onboard monitoring system that allows to monitor basic parameters (speed, torque, temperatures, pressures etc.) at some predefined components. To complete the picture, we propose to use proposed already (but not for mining applications) vibration measurement for road roughness evaluation. To measure vibration acceleration is relatively easy task (we used simple smartphone here), unfortunately method of parametrization and concluding about road quality is still a challenge in mining case. In this paper we have presented a short communication related to first experimental work and some ideas how to deal with this problem using statistical tools for signal modeling.
Global Practice No . 16 October 2016

We review the patterns of cyclicality in fiscal policy in a sample of 180 countries over a period of more than three decades. First, we consider issues of robustness in the choice of the proxy for fiscal cyclicality by using alternative filtering methods. Second, we rely on a country-specific approach to split our sample in sub-periods based on a test for structural break in the series of real GDP per capita. Third, we investigate the extent to which countries behave pro-cyclically or countercyclically in different phases of the business cycle. In line with earlier findings in the literature, we confirm that there is a causal link running from stronger institutions to less pro-cyclical fiscal policy, even after controlling for the endogeneity of institutions and other determinants of fiscal policy. In that context, we conclude by discussing a few policy directions that could guide countries aiming to strengthen their fiscal positions and be better equipped to adopt counter-cyclical fiscal policies. Corresponding author: fcarneiro@worldbank.org
A Novel Nanoscale FDSOI MOSFET with Block-Oxide

We demonstrate improved device performance by applying oxide sidewall spacer technology to a block-oxide-enclosed Si body to create a fully depleted silicon-on-insulator (FDSOI) nMOSFET, which overcomes the need for a uniform ultrathin silicon film. The presence of block-oxide along the sidewalls of the Si body significantly reduces the influence of drain bias over the channel. The proposed FDSOI structure therefore outperforms conventional FDSOI with regard to its drain-induced barrier lowering (DIBL), on/off current ratio, subthreshold swing, and threshold voltage rolloff. The new FDSOI structure is in fact shown to behave similarly to an ultrathin body (UTB) SOI but without the associated disadvantages and technological challenges of the ultrathin film, because a thick Si body allows for reduced sensitivity to self-heating, thereby improving thermal stability.
An Examination of Print Placements: 1995-2008

AN EXAMINATION OF PRINT PLACEMENTS: 1995-2008 Lois Bauman Department of Communications Master of Arts A relatively unexamined area of branded entertainment combines sports sponsorship with product placement, and occurs when a brand name or logo appears in a print photograph. The resulting photograph can be considered the print equivalent of product placement, or “print placement. ” Keenan, Pokrywczynski and Boyle (1995) determined the potential for exposure to advertising, brands, sponsors and symbols appearing in photographs in Sports Illustrated magazine. This thesis updates and expands the research on print placements through a content analysis of Sports Illustrated from 1995 through 2008. Results showed an increase over time in the number of print placements, and representation of additional product categories when compared with previous research.
Structure of Small World Innovation Network and Learning Performance

This paper examines the differences of learning performance of 5 MNCs (multinational corporations) that filed the largest number of patents in China. We establish the innovation network with the patent coauthorship data by these 5 MNCs and classify the networks by the tail of distribution curve of connections. To make a comparison of the learning performance of these 5 MNCs with differing network structures, we develop an organization learning model by regarding the reality as having dimensions, which denotes the heterogeneous knowledge about the reality. We further set innovative individuals that are mutually interactive and own unique knowledge about the reality. A longer (shorter) distance between the knowledge of the individual and the reality denotes a lower (higher) knowledge level of that individual. Individuals interact with and learn from each other within the small-world network. By making 1,000 numerical simulations and averaging the simulated results, we find that the differing structure of the small-world network leads to the differences of learning performance between these 5 MNCs. The network monopolization negatively impacts and network connectivity positively impacts learning performance. Policy implications in the conclusion section suggest that to improve firm learning performance, it is necessary to establish a flat and connective network.
NEW METHOD OF OBTAINING GELATINE-SiO 2 COMPOSITE SYSTEMS USING 3-GLYCIDOXYPROPYLTRIMETHOXYSILANE AND 3-CHLOROPROPYLTRIMETHOXYSILANE

Composite materials based on biopolymers are an attractive alternative to conventional composites because of their high biocompatibility, biodegradability and unique functional characteristics. The method developed for the synthesis of material using glycidoxypropyltrimethoxysilane and chloropropyltrimethoxysilane is based on sol-gel processes making possible enhanced control over the final properties of the composite, such as water absorption and the hydrophobic or hydrophilic properties. Thermal studies of the composite show significant complexity of the formation process of the composite, and the possibility of the controlled carbonization into ceramic material.
Two Examples to Show How (cid:1) -Means Reaches Richness and Consistency

In [1] three axioms of clustering algorithms were introduced. In this paper, we demonstrated how k -Means clustering method reaches two of the three axioms: richness and consistency using two well-designed examples. For richness, a metric of form d (cid:5) (q ≥ 1) doesn't satisfy this property, but a semi-metric d (cid:5) (0 < q < 1) satisfies this property. For consistency, a counter-example is provided; however, this property is achieved in a more general sense when it comes to the Lloyd's algorithm [6], an approximation method for k -Means.
FINANCIAL MODELLING AND CORPORATE GOVERNANCE: A FEMINIST PERSPECTIVE USING AN OPTIMIZATION APPROACH

This study is aimed at projecting the financial condition of the company using the feminist ethics of care integrated in corporate governance principles. The research question to be answered is: How the financial condition of the company in the future is affected if the feminist ethics of care is applied in its corporate governance practices? The research question is answered using the quantitative optimisation method to develop the financial planning model for the period 2012-2016. BHP Billiton which is one of the world’s largest resources company is selected to be the sample of this case study. The projection of the financial condition for the five-year period 2012-2016 showed that BHP Billiton, Ltd. can achieve an overall positive economic value retained in the projected period even though negative results exist for 2015 and 2016. Sensitivity analysis was performed by providing two examples of alternatives or scenarios to show the impact on the projected financial condition. It can be concluded that the Company’s financial condition will be stable in the future. The use of the ethics of care simultaneously as a lens to support corporate governance practices and as guidance in financial projection has not been conducted in previous studies. This study therefore, offers an original contribution to the literature of corporate governance, business ethics and financial planning.
Are population and international trade the main factors for environmental damage in China

This paper investigates whether population and international trade, along with energy consumption, are the main factors for environmental damage in China during the period 1971-2011. The stationary analysis is examined by the Zivot–Andrews unit root test and the ARDL bounds testing approach is used for a long run relationship between the series in the presence of structural breaks. The causality between CO2 emissions, energy consumption, economic growth, population and international trade is examined by the VECM Granger causality technique. Our results show that the selected variables are cointegrated; it means that the long run relationship exists in the presence of structural breaks. The empirical findings indicate that in long run, energy consumption and population increase CO2 emissions, while in short run, energy consumption and international trade decrease CO2 emissions. The VECM causality analysis shows that CO2 emissions Granger cause energy consumption, while energy consumption and population Granger cause trade. The VECM analysis also indicates the feedback hypothesis between trade and CO2 emissions. Policy recommendations are made following the obtained results.
DNA Vaccination Associated with Eliminating Inheritance Risks during Embryo Development: A Review

The process of immunization using modified DNA is essential whenever scientists desire to trigger an artificial response in the host’s body to improve immunity. The use of DNA vaccines awakens the somatic cells of the host to produce antigens that will assist the body to prepare to fight infections through preventive measures triggered by the vaccines. These biological inventions have assisted in controlling diseases as well as eliminating some health conditions. Scientific analyses have shown how the plasmid DNA could trigger an artificial immune response in living organisms when associated with the antigens that are plasmid-encoded. Such revelations have demonstrated that this invention has a possible therapeutic application as vaccination to prevent numerous pathogens and their related infections. This paper reviews the concept of DNA vaccination and its effects on embryogenesis. The paper first discusses an overview of DNA vaccines and relates it to the production and expression processes. The effects on embryo development have also been described. This review also explains the advantages and disadvantages related to DNA vaccines’ administration and the mechanisms employed to enhance plasmid effectiveness.
The influence of object realism on human 3D recognition

The role of realism in recognition of 3D objects in virtual reality was examined. It was hypothesized that users of VR would benefit from realistic objects and active exploration of objects in general. Furthermore was tested, whether visuo-spatial ability can work as a moderator for the kind of exploration that provides the best recognition. Through an experiment, we found that object realism has much influence on human 3D recognition. People are faster and more accurate in remembering realistic objects in contrast to abstract ones. Furthermore were the participants the most accurate for unstudied objects and didn’t benefited significantly from active exploration, when studying objects. This process was shown to be moderated by the object condition (realistic vs. abstract). For people, studying the realistic objects, the form of exploration was of less importance.