Miracle-dz/UniFAR-FTUs huggingface dataset:
Whose job is it anyway? a study of human-robot interaction in a collaborative task

The use of autonomous, mobile professional service robots in diverse workplaces is expected to grow substantially over the next decade. These robots often will work side by side with people, collaborating with employees on tasks. Some roboticists have argued that, in these cases, people will collaborate more naturally and easily with humanoid robots as compared with machine-like robots. It is also speculated that people will rely on and share responsibility more readily with robots that are in a position of authority. This study sought to clarify the effects of robot appearance and relative status on human-robot collaboration by investigating the extent to which people relied on and ceded responsibility to a robot coworker. In this study, a 3 × 3 experiment was conducted with human likeness (human, human-like robot, and machine-like robot) and status (subordinate, peer, and supervisor) as dimensions. As far as we know, this study is one of the first experiments examining how people respond to robotic coworkers. As such, this study attempts to design a robust and transferable sorting and assembly task that capitalizes on the types of tasks robots are expected to do and is embedded in a realistic scenario in which the participant and confederate are interdependent. The results show that participants retained more responsibility for the successful completion of the task when working with a machine-like as compared with a humanoid robot, especially when the machine-like robot was subordinate. These findings suggest that humanoid robots may be appropriate for settings in which people have to delegate responsibility to these robots or when the task is too demanding for people to do, and when complacency is not a major concern. Machine-like robots, however, may be more appropriate when robots are expected to be unreliable, are less well-equipped for the task than people are, or in other situations in which personal responsibility should be emphasized.
The maximal covering location problem

The belief that mathematical location modeling can identify "optimal" location patterns rests on the basis that some realistic objective can be identified and by some measure quantified. For example, in the area of private facilities location analysis, a reasonably accurate statement of the objective of locating warehouses is to minimize the costs of manufacturing and distribution. Since most cost elements included in the objectives of private facility location can be reasonably estimated, the models can picture with some degree of accuracy the real location problem they are designed to solve. Unlike private facility location analysis, the objectives of public facility location analysis are more difficult to embrace and to quantify. The difficulty in defining direct measures of public objectives has resulted in a search for some surrogate measure with which the decision maker may be comfortable. Two different surrogate measures which have received attention in location models are: (1) total weighted distance or time for travel to the facilities, and (2) the distance or time that the user most distant from a facility would have to travel to reach that facility, that is, the maximal service distance. * The use of a maximal service distance as a measure of the value of a given locational configuration has been discussed at length by Toregas and ReVelle 1 who show that it is an important surrogate measurement for the value of a given locational configuration. For a given location solution, the maximum distance which any user would have to travel to reach a facility would reflect the worst possible performance of the system. In the regional location of emergency facilities such as fire stations or ambulance dispatching stations, the concept of the maximal service distance is well established. ~,3 The maximal service distance concept appears in the Location Set Covering
Data Streaming and its Application to Stream Processing: Tutorial

In this tutorial paper we present the results of recent research findings in the area of data streaming applied to stream processing systems. In particular, we introduce the data streaming model, detailing the main algorithmic results in this research field. We then move to detail how such algorithms can be applied to modern distributed stream processing systems to improve their efficiency. Finally we outline several open research directions in this field.
GJR-GARCH model in value-at-risk of financial holdings

In this study, we introduce an asymmetric Generalized Autoregressive Conditional Heteroscedastic (GARCH) model, Glosten, Jagannathan and Runkle-GARCH (GJR-GARCH), in Value-at-Risk (VaR) to examine whether or not GJR-GARCH is a good method to evaluate the market risk of financial holdings. Because of lacking the actual daily Profit and Loss (P&L) data, portfolios A and B, representing FuBon and Cathay financial holdings are simulated. We take 400 observations as sample group to do the backward test and use the rest of the observations to forecast the change of VaR. We find GJR-GARCH works very well in VaR forecasting. Nonetheless, it also performs very well under the symmetric GARCH-in-Mean (GARCH-M) model, suggesting no leverage effect exists. Further, a 5-day moving window is opened to update parameter estimates. Comparing the results under different models, we find that the model is more accurate by updating parameter estimates. It is a trade-off between violations and capital charges.
SCHOOL OF INFORMATION STUDIES

The project’s goal is to analyze how public libraries utilize cloud computing services, as well as how they address and communicate issues that might impact patron privacy. The results of the research will include a summary report of findings, and the development of a set of best practices to guide future implementations of cloud computing in public library settings, with the goal of finding a suitable balance between the need to provide cost-effective technologybased services while also protecting patron privacy. Your participation in this project will help to ensure that our results provide a complete understanding, as well as useful guidance, for helping us navigate this increasingly important issue.
Mission Impossible? Planning and Preparing for Crisis

Crisis management logic suggests that planning and preparing for crisis should be a vital part of institutional and policy toolkits. This paper explores the difficulties in translating this ideal into practice. It focuses on four key difficulties. First, crises and disasters are low probability events but they place large demands on resources and have to compete against front-line service provision. Second, contingency planning requires ordering and coherence of possible threats, yet crisis is not amenable to being packaged in such a predictable way. Third, planning for crisis requires integration and synergy across institutional networks, yet the modern world is characterised by fragmentation across public, private and voluntary sectors. Fourth, robust planning requires active preparation through training and exercises, but such costly activities often produced a level of symbolic readiness which does not reflect operational realities. Finally the paper reflects on whether crisis preparedness is a ‘mission impossible’, even in the post-9/11 period when contingency planning seems to be an issue of high political salience.
Commitment to an Emerging Organizational Field

This article builds an enactment theory to explain the continuing commitment of entrepreneurs to an emerging organizational field like energy efficiency and renewable energy, which is widely seen as being in the interests of society. The authors propose that when such a field is constrained by such factors as low energy prices and a lack of government support, the actions that entrepreneurs take to educate stakeholders drives the entrepreneurs’ continuing commitment to the field. These actions are supported by the entrepreneurs’ perceptions of the field’s attractiveness, their beliefs that they produce superior products and services, and their beliefs regarding the likelihood of disruptive exogeneous change.
Solution structure of thioredoxin h1 from Arabidopsis thaliana

Present in virtually every species, thioredoxins catalyze disulfide/dithiol exchange with various substrate proteins. While the human genome contains a single thioredoxin gene, plant thioredoxins are a complex protein family. A total of 19 different thioredoxin genes in six subfamilies has emerged from analysis of the Arabidopsis thaliana genome. Some function specifically in mitochondrial and chloroplast redox signaling processes, but target substrates for a group of eight thioredoxin proteins comprising the h subfamily are largely uncharacterized. In the course of a structural genomics effort directed at the recently completed A. thaliana genome, we determined the structure of thioredoxin h1 (At3g51030.1) in the oxidized state. The structure, defined by 1637 NMR‐derived distance and torsion angle constraints, displays the conserved thioredoxin fold, consisting of a five‐stranded β‐sheet flanked by four helices. Redox‐dependent chemical shift perturbations mapped primarily to the conserved WCGPC active‐site sequence and other nearby residues, but distant regions of the C‐terminal helix were also affected by reduction of the active‐site disulfide. Comparisons of the oxidized A. thaliana thioredoxin h1 structure with an h‐type thioredoxin from poplar in the reduced state revealed structural differences in the C‐terminal helix but no major changes in the active site conformation.
Short-Sale Strategies and Return Predictability

We examine short selling in US stocks based on new SEC-mandated data for 2005. There is a tremendous amount of short selling in our sample: short sales represent 24% of NYSE and 31% of Nasdaq share volume. Short sellers increase their trading following positive returns and they correctly predict future negative abnormal returns. These patterns are robust to controlling for voluntary liquidity provision and for opportunistic risk-bearing by short sellers. The results are consistent with short sellers trading on short-term overreaction of stock prices. A trading strategy based on daily short-selling activity generates significant positive returns during the sample period.
Variety characteristics and maize adoption in Honduras

This paper summarises research into factors contributing to low levels of adoption of improved maize varieties in Honduras. Empirical analysis was based on an agricultural household model which explicitly incorporates variety characteristics into the household's optimisation process. We considered a multitude of production and consumption characteristics valued by farmers, as well as an array of household socioeconomic characteristics and measures of village-specific marketing costs. Empirical results indicated that marketing costs and production characteristics are important explanators of variety choice, whereas consumption characteristics are not, and that information deficits may be an important limiting factor to adoption of improved varieties. © 2003 Elsevier B.V. All rights reserved.
Prospects for the Treatment of Depression

Antidepressant drugs represent the principal form of treatment for major depressive disorder. While there are a plethora of medications available for this task, current drugs have many shortcomings. In the face of these deficiencies there is an ongoing search for new agents. The search has been guided, in part, by drug design based on existing agents and their putative mechanism of action. This has been less than fruitful in addressing inadequacies of existing medications as it has not produced compounds which are novel in terms of pharmacological mechanisms. Recent insights from molecular biological approaches hold promise for the discovery of novel compounds, in particular the so-called neurogenesis hypothesis suggests novel therapeutic approaches. Although significantly modified over the years, the monoamine hypothesis of depression and antidepressant drug action still remains an important driving force behind the development of new compounds. Several recently marketed agents and some in early-phase development tend to conform to these existing mechanistic hypotheses. Clearly the place of these agents in the treatment of depression is dependent on issues such as short- and long-term safety and efficacy. Duloxetine has been developed as a dual monoamine re-uptake inhibitor. Agomelatine is a compound with major effects on the circadian system as well as effects on subtypes of the serotonin receptor system. While the mechanism of action of this compound is not certain, recent evidence would suggest that the drug exerts its effects through antagonist actions at serotonin receptors. Compounds based on the hypothalamic pituitary adrenal axis, substance P antagonism and other neuropeptides have potential application for the treatment of depression but require further development before that potential is realized.
Testing the Quiet Life Hypothesis in the Italian Banking Industry

In this paper we test the so-called quiet life hypothesis (QLH), according to which firms with market power are less efficient. Using data on the Italian banking industry for the period 1992-2007, we apply a two-step procedure. First we estimate bank-level cost efficiency scores and Lerner indices. Then we use the estimated market power measures, as well as a vector of control variables, to explain cost efficiency. Our empirical evidence supports the QLH, although the impact of market power on efficiency is not particularly remarkable in magnitude.
Can Information Transparency Improve Earnings Quality Attributes? Evidence from an Enhanced Disclosure Regime in Taiwan

Investors demand timely and accurate corporate disclosures in order to comprehend the governance and performance of a firm; they also rely on quality earnings information to assess the intrinsic value of a company. This study links the two using a Taiwan sample because the government of Taiwan has just performed a market-wide corporate-transparency rating. We find significant improvement on four accounting-based earnings-quality attributes, including accrual quality, earnings persistence, predictability, and smoothness. Further, there is a statistically reliable association between the level of information transparency and each of these earnings attributes, implying that a disclosure mechanism design can enhance management accountability in financial reporting.
Rotten Kids, Purity, and Perfection

Bergstrom has shown that becker's “Rotten Kid theorem” holds in a world of two commodities if their utilities are transferable. The present paper identifies a further circumstance in which the theorem is valid. We show that it also holds in the absence of transferable utility if the externalities are assumed to take the form of a single pure public good.
Pricing Contingent Convertibles: A Derivatives Approach

A major question raised in the 2008 financial crisis and its aftermath has been how a bank, or any financial institution, can strengthen its balance sheet after a major loss during a period of market unrest, when selling stock in the equity market on reasonable terms is unfeasible. Contingent convertible securities (CoCos) have been proposed as one solution. A CoCo is a debt instrument that automatically converts to equity upon the occurrence of a prespecified credit-related event, such as exceeding a trigger value for its core tier-1 capital ratio, or for the spread on credit default swaps that reference it in the market. Pricing approaches for CoCos either treat them as a kind of credit derivative, or alternatively, more like callable bonds. In the first case, the stock that would replace the CoCo following a trigger event plays the role of the recovery rate in a default risk model. The second approach focuses on conversion of a CoCo as being like exercise of a put option, in which the issuer puts shares to the CoCo holders, with the value of their bond-like security as the exercise price. Spiegeleer and Schoutens present both kinds of models and then show how each would handle a particular real world CoCo issued by Lloyds Banking Group.
Volatility Transmission and Volatility Impulse Response Functions in European Electricity Forward Markets

Using daily data from March 2001 to June 2005, we estimate a VAR-BEKK model and find evidence of return and volatility spillovers between the German, the Dutch and the British forward electricity markets. We apply Hafner and Herwartz [2006, Journal of International Money and Finance 25, 719-740] Volatility Impulse Response Function(VIRF) to quantify the impact of shock on expected conditional volatility. We observe that a shock has a high positive impact only if its size is large compared to the current level of volatility. The impact of shocks are usually not persistent, which may be an indication of market efficiency. Finally, we estimate the density of the VIRF at different forecast horizon. These fitted distributions are asymmetric and show that extreme events are possible even if their probability is low. These results have interesting implications for market participants whose risk management policy is based on option prices which themselves depend on the volatility level.
An empirical investigation into the banking intermediation and Foreign Direct Investment inflows in China

The Toda? Yamamoto version of the Granger causality test was employed to investigate the FDI-banking sector interactions in China. Empirical findings show that banking development help attract FDI inflows rather than the reverse. Interestingly, FDI was found to influence the whole structure of interest rates and vice versa, which implies that FDI inflows may well represent entrenched institutional constraints; suggesting that effective policies for dealing with economic overheating and efficiency of banking intermediation should encompass a combination of changing FDI volume and the cost of banking intermediation.
Multiple Dilution Sample Preparation Using Digital Microfluidic Biochips

Digital microfluidic (DMF) biochips offer a versatile platform for implementing several laboratory based biochemical protocols. These tiny chips can electrically control the dynamics of nanoliter volume of discrete fluid droplets on an electrode array with desired actuation patterns. One important step in biochemical sample preparation is dilution, where the objective is to prepare a fluid with a desired concentration factor. Bioassays implemented on DMF biochips may require several different concentration values of the same sample. In this paper, we propose a scheme in which a set of different target droplets (target concentration values ranged between 0% and 100%) can be produced using 0% concentration (buffer solution) and 100% concentration (sample/reagent), with an error bounded above by 1/2^(n+1) where concentration values are rounded-off by an n-bit binary fraction. Simulation results show that significant amount of savings in the number of mix-split steps and waste droplets can be achieved in comparison with the repeated use of existing single target based methods for generating multiple concentration factors.
Robust Hedging of Barrier Options

This article considers the pricing and hedging of barrier options in a market in which call options are liquidly traded and can be used as hedging instruments. This use of call options means that market preferences and beliefs about the future behavior of the underlying assets are in some sense incorporated into the hedge and do not need to be specified exogenously. Thus we are able to find prices for exotic derivatives which are independent of any model for the underlying asset. For example we do not need to assume that the underlying assets follow an exponential Brownian motion.
A multiyear dust devil vortex survey using an automated search of pressure time series

Dust devils occur in arid climates on the Earth and ubiquitously on Mars, where they likely dominate the supply of atmospheric dust and influence climate. Martian dust devils have been studied with a combination of orbiting and landed spacecraft, while most studies of terrestrial dust devils have involved manned monitoring of field sites, which can be costly both in time and personnel. As an alternative approach, we describe a multiyear in situ survey of terrestrial dust devils using pressure loggers deployed at El Dorado Playa in Nevada, USA, a site known for dust devil activity. Analogous to previous surveys for Martian dust devils, we conduct a posthoc analysis of the barometric data to search for putative dust devil pressure dips using a new automated detection algorithm. We investigate the completeness and false positive rates of our new algorithm and conduct several statistically robust analyses of the resulting population of dips. We also investigate possible seasonal, annual, and spatial variability of the putative dust devil dips, possible correlations with precipitation, and the influence of sample size on the derived population statistics. Our results suggest that large numbers of dips (>1000) collected over multiple seasons are probably required for accurate assessment of the underlying dust devil population. Correlating long‐term barometric time series with other data streams (e.g., solar flux measurements from photovoltaic cells) can uniquely elucidate the natures and origins of dust devils, and accurately assessing their influence requires consideration of the full distribution of dust devil properties, rather than average values.
Inclusive Growth: An Application of the Social Opportunity Function to Selected African Countries

The inclusiveness of growth depends on the extent of access to economic and social opportunities. This paper applies the concept of social opportunity function to ascertain the inclusiveness of growth episodes in selected African countries. Premised on the concept of social welfare function, inclusive growth is associated with increased average opportunities available to the population and improvement in their distribution. The paper establishes that the high growth episodes in the last decade in the selected countries came with increased average opportunities in education and health; but distribution of such opportunities varied across countries, depending on the country-specific policies underpining the growth episodes.
Quantum-Chemical Insights into the Self-Assembly of Carbon-Based Supramolecular Complexes

Understanding how molecular systems self-assemble to form well-organized superstructures governed by noncovalent interactions is essential in the field of supramolecular chemistry. In the nanoscience context, the self-assembly of different carbon-based nanoforms (fullerenes, carbon nanotubes and graphene) with, in general, electron-donor molecular systems, has received increasing attention as a means of generating potential candidates for technological applications. In these carbon-based systems, a deep characterization of the supramolecular organization is crucial to establish an intimate relation between supramolecular structure and functionality. Detailed structural information on the self-assembly of these carbon-based nanoforms is however not always accessible from experimental techniques. In this regard, quantum chemistry has demonstrated to be key to gain a deep insight into the supramolecular organization of molecular systems of high interest. In this review, we intend to highlight the fundamental role that quantum-chemical calculations can play to understand the supramolecular self-assembly of carbon-based nanoforms through a limited selection of supramolecular assemblies involving fullerene, fullerene fragments, nanotubes and graphene with several electron-rich π-conjugated systems.