Miracle-dz/UniFAR-FTUs huggingface dataset:
Subterahertz spin pumping from an insulating antiferromagnet

A spin-pumping antiferromagnet Antiferromagnets have been used in spintronics mainly as a source of the so-called exchange bias. However, they hold promise for a much more active role given that their magnetization dynamics can in principle be much faster than those in ferromagnets. For this promise to materialize, antiferromagnets must learn the tricks that come naturally to ferromagnets. Vaidya et al. observed one such phenomenon called spin pumping (see the Perspective by Hoffmann). The researchers irradiated the antiferromagnet MnF2 with circularly polarized subterahertz light, causing the spins in this material to spring into action. These dynamics, in turn, caused the injection of spin current into a layer of platinum adjacent to MnF2. Science, this issue p. 160; see also p. 135 Spin dynamics in antiferromagnetic MnF2 cause the injection of spin current into an adjacent platinum layer. Spin-transfer torque and spin Hall effects combined with their reciprocal phenomena, spin pumping and inverse spin Hall effects (ISHEs), enable the reading and control of magnetic moments in spintronics. The direct observation of these effects remains elusive in antiferromagnetic-based devices. We report subterahertz spin pumping at the interface of the uniaxial insulating antiferromagnet manganese difluoride and platinum. The measured ISHE voltage arising from spin-charge conversion in the platinum layer depends on the chirality of the dynamical modes of the antiferromagnet, which is selectively excited and modulated by the handedness of the circularly polarized subterahertz irradiation. Our results open the door to the controlled generation of coherent, pure spin currents at terahertz frequencies.
Multimarket Contact and Platform Competition: Reassessing the Mutual Forbearance Hypothesis

Antitrust authorities are particularly concerned with the dominant market position of tech giants such as Google, Facebook, and Amazon. These digital conglomerates are characterized by platform-based business models. However, despite their dominance, they are competing with each other to attract the same groups of users (developers, advertisers, end users, third party sellers, etc). They therefore have not only overlapping users (or sides) but also multimarket contact (MMC). In traditional one-sided markets, theory and empirical evidence show that MMC tends to relax competition. However, it is unclear whether this result holds under platform competition. This paper examines how MMC a ects pricing behaviour and pro ts of two-sided platforms. We develop a model of platform competition with two distinct markets. We assume that platforms only charge one group of users and provide free access to the other group. We argue that multimarket platforms also generate cross-market externalities that favour their users, in addition to well-known cross-group externalities. We nd that when cross-market externalities bene t the side that has free access, price competition is ercer and total welfare increases under MMC. However, when they bene t the side that pays to access the platform, the same result only holds if the cross-group externality and/or cross-market externality are suciently high. Finally, we show that a single-market platform competing with a multimarket platform may be deterred from entering the second market if cross-market or cross-group externalities are high. Our ndings contrast with the mutual forbearance hypothesis which claims that MMC relaxes competition in traditional (one-sided) industries. From a competition policy perspective, our paper provides an insight into how antitrust authorities should review conglomerate mergers and assess the e ects of diversi cation strategies of digital platforms.
Memristive and Memory Impedance Behavior in a Photo-Annealed ZnO–rGO Thin-Film Device

An oxygen-rich ZnO-reduced graphene oxide (rGO) thin film was synthesized using a photo-annealing technique from zinc precursor (ZnO)–graphene oxide (GO) sol–gel solution. X-ray diffraction (XRD) results show a clear characteristic peak corresponding to rGO. The scanning electron microscope (SEM) image of the prepared thin film shows an evenly distributed wrinkled surface structure. Transition Metal Oxide (TMO)-based memristive devices are nominees for beyond CMOS Non-Volatile Memory (NVRAM) devices. The two-terminal Metal–TMO (Insulator)–Metal (MIM) memristive device is fabricated using a synthesized ZnO–rGO as an active layer on fluorine-doped tin oxide (FTO)-coated glass substrate. Aluminum (Al) is deposited as a top metal contact on the ZnO–rGO active layer to complete the device. Photo annealing was used to reduce the GO to rGO to make the proposed method suitable for fabricating ZnO–rGO thin-film devices on flexible substrates. The electrical characterization of the Al–ZnO–rGO–FTO device confirms the coexistence of memristive and memimpedance characteristics. The coexistence of memory resistance and memory impedance in the same device could be valuable for developing novel programmable analog filters and self-resonating circuits and systems.
Old-Growth Forest Disturbance in the Ukrainian Carpathians

Human activity has greatly reduced the area of old-growth forest in Europe, with some of the largest remaining fragments in the Carpathian Mountains of south-western Ukraine. We used satellite image analysis to calculate old-growth forest disturbance in this region from 2010 to 2019. Over this period, we identified 1335 ha of disturbance in old-growth forest, equivalent to 1.8% of old-growth forest in the region. During 2015 to 2019, the average annual disturbance rate was 0.34%, varying with altitude, distance to settlements and location within the region. Disturbance rates were 7–8 times lower in protected areas compared to outside of protected areas. Only one third of old-growth forest is currently within protected areas; expansion of the protected area system to include more old-growth forests would reduce future loss. A 2017 law that gave protection to all old-growth forest in Ukraine had no significant impact on disturbance rates in 2018, but in 2019 disturbance rates reduced to 0.19%. Our analysis is the first indication that this new legislation may be reducing loss of old-growth forest in Ukraine.
State Coalitions, Informational Signals, and Success as Amicus Curiae at the U.S. Supreme Court

States are uniquely situated as both individual governments in the federal system and entities that represent the interests of their citizens. So, what makes groups of states successful when they lobby the Supreme Court as amicus curiae filers? I argue that it is not just the number of states included in a coalition that matters, but rather which states are included. In this article, I offer a theory that implies certain types of coalitions will be more influential than others, as these coalitions can vary in how representative they are of public preferences. I use a dataset on state amicus curiae filings from 1960 to 2013 to test the implications of my theory. I find that the regional diversity of coalitions increases the odds of state amicus curiae filers obtaining their preferred outcome, but the ideological heterogeneity of the group of states does not. This latter result is interesting given that it is contrary to the theoretical expectations of the existing scholarship on state amicus filings.
Beyond personality: an emergence view of influential consumers

Previous research studies assume that influential consumers (“influentials”), who play a powerful role in the marketplace, are persuasive (or not) based on innate, static personality traits. By contrast, this paper proposes an emergence-based view of influentials. Grounded in dynamic self-concept theory, this research establishes that individuals possess an “influential” self-concept that can be activated by firm-originated communications. Specifically, the authors examine the impact of firm feedback on the three dimensions of influentials (and the corresponding traits and behaviors): who they are (propensity to connect with others), who they know (WOM) and what they know (expert power). ,The study tests whether an influential self can be evoked by marketers using a longitudinal experimental test with data collected in three periods. The data are analyzed using a multi-mediation model and partial least squares structural equation modeling. ,The results reveal that even after controlling for the extroversion trait, firm-originated positive feedback increases perceived expert power of participants, which increases word-of-mouth behavior in a subsequent period, both directly and indirectly via an enhanced propensity to connect with others. ,Cultivating the influential self-concept requires time to ensure that the self-concept is sufficiently realized to become an enduring self-concept. ,By cultivating influentials, practitioners are able to leverage diffusion mechanics and reduce costs and inefficiencies associated with traditional customer relationship management marketing strategies focused on finding them. ,These findings have implications across all domains that rely on the diffusion and adoption of ideas or products via influentials, including but not limited to public policy, politics, public health and sustainability, in that influentials can be evoked and leveraged to diffuse ideas in these important social domains. ,This paper provides empirical evidence that firms can evoke influential consumer behavior challenging existing views of influence as a static personality trait. It casts a line to connect influential consumers to the nascent study of social emergence.
Looking Inside the Strategic Plans: Strengths and Weaknesses of Turkish Higher Education Institutions

As strengths and weaknesses are regarded as internal features of an organization, the present study focused on strengths and weaknesses of Turkish public universities by analyzing the SWOTs (Strengths, Weaknesses, Opportunities, Threats) of twenty higher education institutions. By applying qualitative content analytical tools, we tried to make some comparisons, twenty universities, ten ranked at the top and ten at the bottom of the URAP list, were chosen to analyze the strengths and weaknesses. Findings show that all universities top or bottom ones have internal strengths and weaknesses on their own. The strengths of universities differ according to their size, field of service, structure, history and geographical locations. Top universities which are in big size, have a deeply rooted history and situated in a better geographical location can enjoy the strengths as qualified faculty members, organizational culture, internationalization process, infrastructure and good alumni relations. On the other hand, bottom universities which have not got those advantages deal with other strengths such as young faculty members, organizational support and internal communication. As for the weaknesses, top universities need more budget and acceptable rate of faculty member and student. Bottom ones need more qualified faculty members, students and staff. As they are located in disadvantageous regions, they are in need of some promotions to attract faculties, staff, national and international students. In addition, they also should be aware of the contributions of good alumni relations.
School Suspension in Florida: The Interactive Effects of Race, Ethnicity, Gender, and Academic Achievement

Abstract A vast body of research demonstrates that the consequences of the “criminalization” of school discipline are not racially equitable, and Black and Hispanic students are more likely than White youth to experience exclusionary school punishments. However, limited prior work has examined the factors that might strengthen or weaken racial/ethnic inequalities in school discipline. Theoretically, academic achievement could moderate the effects of race and ethnicity, especially in conjunction with gender, though the expected direction of these interactive relationships is unclear. To explore these issues, the current study makes use of data from the 2018 Florida Youth Substance Abuse Survey (N = 54,611). The analyses reveal that, while Black male youth are the most likely to be suspended, racial/ethnic disparities are greater among females than males. Additionally, racial differences in the likelihood of suspension are more prominent at higher levels of academic achievement, particularly among female students.
Perception of Sustainability of Spanish National Parks: Public Use, Tourism and Rural Development

In the last decade, tourism activity associated with natural areas has stood out as a driver for economic development. Thus, it is a key factor for the economic and social sustainability of the community near a protected area. This paper analyses, considering the tourist exploitation and the public use of the National Park in the last decade, the perception about the sustainability of its geographical area closest. A questionnaire was used and sent to the authorities of the villages closest to each of the 15 National Parks. The structural equation model was used for the design and analysis of the model. The results confirmed significant relationships between the perception of economic development and quality of life, but not with social development. A positive relationship between quality of life and social development is also demonstrated. The three dimensions analysed, economic, social and quality of life, are influencing the perception of sustainability of the geographical area closest to the protected natural area. The legal limitations to the public use of these natural protected areas have been considered in the assessments made by the respondents. In conclusion, National Park managers, local entrepreneurs and institutional authorities (local, regional and national) are encouraged to better coordinate the resources of the protected natural area. The dynamization of tourist activities should be encouraged while respecting the biological value of the park, as has been done so far.
Process Monitoring Dataset from the Additive Manufacturing Metrology Testbed (AMMT): "Three-Dimensional Scan Strategies".

This document provides details on the files available in the dataset "20180708-HY-3D Scan Strategies" pertaining to a 3D additive manufacturing build performed on the Additive Manufacturing Metrology Testbed (AMMT)by Ho Yeung on July 8, 2018. The files include the input command files and in-situ process monitoring data, and metadata. This data is the first of future planned "AMMT Process Monitoring Reference Datasets," as part of the Metrology for Real-Time Monitoring of Additive Manufacturing project.
Protocol: Barriers and Facilitators To Vocational Rehabilitation and Employment-related Support for Indigenous Peoples – Systematic Review

Background People who experience health conditions and/or disability often also have difficulty accessing employment due to a number of complex factors. These factors are very often associated with broader societal issues. They include stigma, poorly-informed judgements about what makes somebody ‘work-able’, fear of negatively affecting health and safety in the workplace and/or making the workplace vulnerable to higher costs, and challenges in negotiating work arrangements that are outside the norm when needed (Fadyl & Payne, 2016; Harlan & Robert, 1998; Louvet, 2007; Pacheco, Page, & Webber, 2014; Schur, Kruse, Blasi, & Blanck, 2009). Case management, vocational rehabilitation and employment support can all help to address these challenges and improve work outcomes for people experiencing health conditions and/or disability, and various approaches exist within these broad categories that have been tested in research (e.g. Fadyl, McPherson, & Nicholls, 2015; Fleming, Del Valle, Kim, & Leahy, 2013; Trexler, Trexler, Malec, Klyce, & Parrott, 2010).
Yield Performance of Corn Under Heat Stress: A Comparison of Hybrid and Open-Pollinated Seeds During a Period of Technological Transformation, 1933-1955

Starting in the 1930s, commercial hybrid corn seeds rapidly replaced the once predominant open-pollinated varieties planted by farmers. By the mid-1950s almost all corn grown in the United States was of hybrid varieties. Observers have argued that the drought tolerant qualities of these hybrids were a major factor driving farmers’ decisions regarding hybrid adoption, but there is little statistical evidence to substantiate this assertion. Hybrid seeds exhibited other attractive qualities, such as improved performance during prime weather conditions, resistance to wind damage, and increased suitability toward mechanized harvesting. Using historical evidence from Zvi Griliches’s archival records, we reconstruct data on hybrid corn adoption and yields at a more disaggregated geographic level than previously available. We match these data with historical weather records to measure the extent to which hybrid seeds mediated the adverse effects of extreme heat. Our findings suggest that hybrid corns grown in Iowa from 1928 to 1942 did exhibit heat tolerance relative to open-pollinated varieties. This result is unique to Iowa as this reduced temperature sensitivity does not appear when comparing hybrid and open-pollinated grown in other states.
Exploration of Variable Importance and Variable selection techniques in presence of correlated variables

Variable selection is of utmost importance in aviation safety where the data contains a large number of highly correlated predictors and flight safety has to be accurately predicted. Variable selection methods were not encouraged in medical research where the subject-matter knowledge is limited. For this reason, Genell, Anna Nemes, Szilard Steineck, Gunnar Dickman, Paul W. (2010) conducted simulated study to compare Bayesian Model Averaging and stepwise regression to motivate medical researchers to conduct automatic variable selection on their regression models and encourage them to take advantage of it. In this era of data science and Machine Learning, we have extended this comparative study by considering Machine learning algorithms. Various studies have shown that the Recursive feature elimination (RFE) algorithm reduces the effect of correlation on the variable importance measure and results in minimal prediction error. In this study, we compare RFE-RF, RFE-SVM and Bayesian Model Averaging (BMA) for simulated data in the presence of correlation by varying sample sizes (30,300) for 45 variables considering both cases np. Our results show that the percentage of selecting true predictors is highest for the RFE-RF model of all the three models. However, though the overall percentage of selecting true predictors is highest for RFE-RF, the estimated probability of selecting correlated true predictors is better for the Bayes in comparison to the other methods.comparison to the other methods.
The Effect of Female Employment on Corporate Sustainability in Terms of Tax Avoidance

Recent studies on tax avoidance report that having female executives in companies increases accounting transparency and firm value by reducing tax avoidance. These studies explain that the more risk-averse and conservative characteristics of females affect corporate decision making about tax strategies if the company has female executives. In this study, we assume that the higher the proportion of female employees in a company, the more likely the risk-averse and conservative characteristics of females will affect the firm’s decision making, thereby reducing tax avoidance activities and improving corporate sustainability. To verify this hypothesis, we empirically analyze the association between the female employee ratio and tax avoidance. From the empirical results, we find increasing the female employee ratio may reduce the level of tax avoidance. We also find that companies with a high percentage of female employees show less tax avoidance than those with a low percentage of female employees. The findings suggest that by increasing the ratio of female employees, a company can improve its sustainability in terms of tax avoidance by forming a risk-averse and conservative corporate environment.
Stacking stories as method: research in early years settings

This document is the author deposited version. You are advised to consult the publisher's version if you wish to cite from it. Published version BURNETT, Catherine and MERCHANT, Guy (2019). Stacking stories as method: research in early years settings. In: KUCIRKOVA, Natalia, ROWSELL, Jennifer and FALLOON, Garry, (eds.) The Routledge International Handbook of Learning with Technology in Early Childhood. Routledge International Handbooks of Education . Routledge, 143-154.
A review of two different methods for the estimation of water footprint of crops

The rapid increase in world population has increased the demand of food and biofuels leading to stress on water resources and increase in competition between different sectors around the globe. Under the combined impacts of climate change, population growth, urbanization and economic development, the pressure on the water resources is continually increasing. Therefore, an appropriate approach is required for effective water accounting. Water footprint concept has been introduced to indicate the water use and impact of production systems on water resources. In this study, two different approaches for the estimation of water footprint of crops have been reviewed, i.e. the Water Footprint Network (WFN) approach and Life Cycle Assessment (LCA). These approaches are used in many countries and numerical models have been developed to facilitate the calculations. By clarifying the concerns about water accounting, we identify that the main differing perspective between the WFN and LCA approaches is that LCA aims to account for the environmental impacts related to water resources, while WFN aims to account for water productivity of global fresh water as a limited resource. We conclude that the WFN approach could benefit from considering the impact assessment methodologies evolving within the LCA community and joint efforts could lead to some consensual metrics to better assess the sustainability of freshwater use.
Bingham Fluid Simulation in Porous Media with Lattice Boltzmann Method

Generate a lattice Boltzmann model (LBM), which allows to simulate the behavior of a Bingham fluid through a rectangular channel with the D2Q9 model. For this purpose, a relaxation parameter is proposed based on the rheological parameters of the Bingham model. The validation will be carried out with the solution of the movement equation, and velocity profiles will be obtained for three different Bingham numbers (Bn). Other simulations will be made in a rectangular channel in the presence of arbitrarily and randomly generated porous media. The main objective is to propose a method to predict the behavior of non-Newtonian fluids (Bingham fluid) through porous media, which have many applications in the chemical industry avoiding at the same time the expensive experimentation of these systems, with predicting models.
Possible Income Misstatement on Mortgage Loan Applications: Evidence from the Canadian Housing Market

We construct a measure of possible income misstatement (PIM) for first-time homebuyers by quantifying the gap between growth in incomes reported on mortgage applications and growth in incomes reported on tax files from 2004 to 2014 in Canada. Using a two-stage least square framework to correct for the endogenous nature of house prices and PIM, we find robust evidence that part of the observed dispersion in PIM is caused by house price variation. This suggests borrowers have greater incentive to misstate income in high-priced markets. We report evidence that markets with a tendency for income misstatement also had higher default rates.