Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring Prosociality in Human-Robot Teams

This paper explores the role of prosocial behaviour when people team up with robots in a collaborative game that presents a social dilemma similar to a public goods game. An experiment was conducted with the proposed game in which each participant joined a team with a prosocial robot and a selfish robot. During 5 rounds of the game, each player chooses between contributing to the team goal (cooperate) or contributing to his individual goal (defect). The prosociality level of the robots only affects their strategies to play the game, as one always cooperates and the other always defects. We conducted a user study at the office of a large corporation with 70 participants where we manipulated the game result (winning or losing) in a between-subjects design. Results revealed two important considerations: (1) the prosocial robot was rated more positively in terms of its social attributes than the selfish robot, regardless of the game result; (2) the perception of competence, the responsibility attribution (blame/credit), and the preference for a future partner revealed significant differences only in the losing condition. These results yield important concerns for the creation of robotic partners, the understanding of group dynamics and, from a more general perspective, the promotion of a prosocial society.
An Improved Anisotropic Markov Random Field Approach for Prestack Seismic Inversion

This letter presents an improved anisotropic Markov random field (IAMRF) approach for prestack seismic inversion. Instead of using multiple potential functions or adding extra weights on clique potentials as done in existing AMRF approaches, IAMRF removes the effects of anisotropic gradients in subsurface models by means of scaling parameters, which directly tune the model gradients right above. In particular, the scaling parameters are not only directionally varied at certain iterations but also updated by a statistical method at every iteration throughout the inversion, thereby generating more accurate and better edge-preserving inverted results. The prestack seismic inversion based on the IAMRF prior constraints is demonstrated on a field data example, which presents encouraging results.
Methods and Effects of Priming a Teloperator's Perception of Robot Capabilities

Priming is the influence of external stimuli on a person's behavior and thoughts, where the effect is related to some quality of that stimuli. In this work, we explore three methods of priming teleoperator's expectations about robot capability and investigate how this may impact driving behavior and perceptions of the robot. We tested priming impressions of robot ability by the stiffness of the robot controller, additionally describing the changes in stiffness verbally to operators and simply describing the robots' abilities on paper and verbally. Our results found that all priming methods affected the perception of the robot including its speed, weight, or overall safety. Further, we confirmed that some priming methods lowered operator collisions by over 40%. Thus, interface and product designers should consider priming as a tool to leverage to improve operator performance and perception of the robot.
WEAVER: An Energy Efficient, General-Purpose Acceleration Architecture for String Operations in Big Data Applications

The explosion of data volume in big data era drives architecture designers to find more efficient processor architectures. Different from the conventional scientific computing, big data applications are usually simple computing patterns with massive input data, which makes current general-purpose processors suffer poor performance and huge energy consumption. Among various computing patterns in big data applications, string operations are common but very important parts of data processing. Dealing with simple and fixed computing patterns with high-performance processors is wasteful. In this paper, we propose WEAVER, a high-efficiency, general-purpose acceleration architecture for string operations, which can be integrated into current processors and work beside on-chip memory controller. The WEAVER can both reduce the latency of data transfer between memory and processing cores and accelerate the string processing by using customized architecture. The experimental results show WEAVER gains an average speedup of 3.2x over a general-purpose Intel processor, and reduces the energy consumption by 3.79x on average, with tiny hardware overhead.
A wideband filter-integrated coupler using substrate integrated suspended line (SISL) technology with patterned substrate

A wideband coupled-line coupler based on substrate integrated suspended line (SISL) technology was proposed. The coupler has a conventional coupled line, two variant two-line coupled lines, and four three-line coupled lines, with filtering-integrated function and inherent DC block. By introducing two air cavities and removing certain parts of the substrate, a patterned SISL structure was utilized, with the advantages of self-packaged, low loss, and simple production and processing. The designed coupler has a power-division ratio of 7 dB, and a wide frequency band from 1.21 GHz to 2.11 GHz (54.21%) with S11 < -15 dB, centered at 1.66 GHz.
Ku Band Terrestrial Radar Observations by Means of Circular Polarized Antennas

This paper reports some experimental results obtained by means of a commercial apparatus used by many researchers and users, where a pair of novel and specifically developed circular polarized antennas, designed to operate with Ku band-terrestrial radar interferometers, are used alternatively to the most conventional linear vertical polarized horns provided by the manufacturer of the apparatus. These radar acquisitions have been carried out to investigate for the first time the potential of circular polarization (CP) configurations for terrestrial radar interferometers (TRI) applications, aiming at improving monitoring of landslides, mines, and semi-urban areas. The study tries to evaluate whether the circular polarization response of natural and man-made targets can improve the interpretation of the radar images, with respect to the standard approach used in terrestrial radar interferometry, usually carried out in co-polar vertical polarization. The goal is to investigate how different polarization combinations, in terrestrial radar interferometry, affect the coherence and amplitude dispersion of natural media, potentially improving the identification of stable scatter.
Strain Modulated Superlattices in Graphene.

Numerous theoretically proposed devices and novel phenomena have sought to take advantage of the intense pseudo-gauge fields that can arise in strained graphene. Many of these proposals, however, require fields to oscillate with a spatial frequency smaller than the magnetic length, while to date only the generation and effects of fields varying at a much larger length scale have been reported. Here we describe the creation of short wavelength, periodic pseudo-gauge-fields using rippled graphene under extreme (>10%) strain and the study of its effects on Dirac electrons. Combining scanning tunneling microscopy and atomistic calculations, we find that spatially oscillating strain generates a new quantization different from the familiar Landau quantization. Graphene ripples also cause large variations in carbon-carbon bond-length, creating an effective electronic superlattice within a single graphene sheet. Our results thus also establish a novel approach to synthesizing effective 2D lateral heterostructures - by periodically modulating lattice strain.
Department networks and distributed leadership in schools

Many schools are organised into departments which function as contexts that frame teachers’ professional experiences in important ways. Some educational systems have adopted distributed forms of leadership within schools that rely strongly on the departmental structure and on the role of the department coordinator as teacher leader. This paper reports a study of department networks and distributed leadership in two schools. The study collected two types of data on teacher networks in the schools: attributions of the influence of colleagues on one another's professional development and joint professional practice. Measures included actor centrality and network density. The study identified distinct leadership configurations in different departments. The implications for the study of distributed leadership and for the distribution of leadership roles in educational organisations are discussed.
The effect of postoperative gemcitabine on overall survival in patients with resected pancreatic cancer: A nationwide population-based Danish register study

Abstract Background: Adjuvant chemotherapy following curative resection is the standard treatment for pancreatic adenocarcinoma (PC). Randomized clinical trials using gemcitabine have shown a median overall survival (mOS) of 2 years and a 5-year survival rate of 15-20%. However, the effect of gemcitabine outside these trials is less clear. We examined the effect of postoperative gemcitabine on survival in an unselected cohort of patients receiving curative resection for PC in Denmark during a five-year period. Material and methods: From 1 May 2011 to 30 April 2016, 731 patients treated with curative resection were identified in the Danish Pancreatic Cancer Database (DPCD). Thirty patients died within 10 weeks postoperatively; 78 received other regimens or preoperative chemotherapy and were excluded. Of the remaining 623 patients, the chemotherapy (CT) group (n = 409, 66%) received gemcitabine within 10 weeks after resection, whereas the non-chemotherapy (NCT) group (n = 214, 34%) did not receive CT within 10 weeks. Results: CT patients were slightly younger than NCT patients but did not otherwise differ in baseline characteristics. The CT group showed a mOS of 24 months (95% CI; 21–27) and a 5-year survival rate of 22% (95% CI; 17–27); the NCT group had a mOS of 22 months (95% CI; 16–26, p = .27) and a 5-year survival rate of 26% (95% CI; 19–34, p = .66). Most patients (415/623) had lymph node metastases. Of these patients, those in the CT group (n = 280) had significantly longer mOS [20 months (95% CI; 18–24)] than those in the NCT group (n = 135) [14 months (95% CI; 11–17)]. Conclusions: In this national Danish cohort of PC patients undergoing resection between 2011 and 2016, the survival after postoperative gemcitabine was similar to that reported in previous clinical trials. However, the survival advantage of postoperative gemcitabine was limited to patients with lymph node metastases.
Helping Not Hurting: Applying the Stereotype Content Model and BIAS Map to Social Robotics

This paper examines relationships between perceptions of warmth and competence, emotional responses, and behavioral tendencies in the context of social robots. Participants answered questions about these three aspects of impression formation after viewing an image of one of 342 social robots in the Stanford Social Robots Database. Results suggest that people have similar emotional and behavioral reactions to robots as they have to humans; impressions of the robots' warmth and competence predicted specific emotional responses (admiration, envy, contempt, pity) and those emotional responses predicted distinct behavioral tendencies (active facilitation, active harm, passive facilitation, passive harm). However, the predicted relationships between impressions and harmful behavioral tendencies were absent. This novel asymmetry for perceptions and intentions towards robots is deliberated in the context of the computers as social actors framework and opportunities for further research are discussed.
The political economy debate on ‘financialization’ – a macroeconomic perspective

ABSTRACT A number of important contributions to the political economy literature have argued that changes in the financial sector have been amongst the main reflections, or even the driving forces, of recent transformations of capitalism in the rich countries. This hypothesis has been referred to as ‘financialization’. This article argues that the interdisciplinary literature can be enriched if the macroeconomic dimension of financialization is more explicitly taken into account. In particular, important macroeconomic constraints regarding the determination of profits, in the face of a decreasing importance of physical investment and an increased importance of financial operations, are often not explicitly considered. The author compares his macroeconomic approach with contributions from different strands in the existing literature, including empirical analyses of new patterns of profit generation, the ‘varieties of capitalism’ approach, the British ‘social accounting’ literature, and the French ‘regulationist’ literature. The author's theoretical framework is illustrated by means of an empirical comparison of the effects of financialization in the USA and in Germany.
Spread component costs and stock trading characteristics in the Spanish Stock Exchange. Two flexible fractional response models

This paper investigates relationships between the spread component costs (adverse selection, order processing and inventory costs) and stock trading characteristics in the Spanish Stock Exchange (SSE), taking into account the random nature of these costs. First, we analyse the statistical properties of estimated spread components in the market, which are obtained by using two statistical models to decompose the bid–ask spread. We then propose a fractional response regression model based on two flexible cross-sectional probability density functions with covariates which accommodate certain aspects of the empirical estimates, such as skewness and bounded distribution. Our model has two main advantages: (i) it can be implemented easily in a maximum likelihood framework; (ii) in contrast to linear regression models, it provides a useful estimate of the statistical significance of the parameters, and predicts costs not only at the conditional mean but also by using quantiles of the estimated conditional distribution. The empirical results corroborate the presence of statistically significant large order processing costs and smaller adverse selection and inventory costs in the SSE. These spread components have a skewed empirical distribution and the proposed fractional regression models represent the behaviour of these costs reasonably well, surpassing the linear regression model in various specification tests.
Adjusting to sex and intimacy: Gynecological cancer survivors share about their partner relationships

ABSTRACT This study describes what gynecological (GYN) cancer survivors relate about their intimate partners and adjustments in their sexual lives following diagnosis and treatment. Conventional descriptive content analysis was used to examine participant responses about partner relationships following their diagnosis. Responses revealed three clusters and 15 codes of data. Findings report the influence of cancer treatment on sexual activity and functioning, women’s sex lives, and their relationships. Health-care providers have a vital role in supporting women and their partners during the cancer care trajectory and should include both the survivor and the partner in conversations focused on sexual concerns and sexual well-being.
Improving cellular uptake of therapeutic entities through interaction with components of cell membrane

Abstract Efficient cellular delivery of biologically active molecules is one of the key factors that affect the discovery and development of novel drugs. The plasma membrane is the first barrier that prevents direct translocation of chemic entities, and thus obstructs their efficient intracellular delivery. Generally, hydrophilic small molecule drugs are poor permeability that reduce bioavailability and thus limit the clinic application. The cellular uptake of macromolecules and drug carriers is very inefficient without external assistance. Therefore, it is desirable to develop potent delivery systems for achieving effective intracellular delivery of chemic entities. Apart from of the types of delivery strategies, the composition of the cell membrane is critical for delivery efficiency due to the fact that cellular uptake is affected by the interaction between the chemical entity and the plasma membrane. In this review, we aimed to develop a profound understanding of the interactions between delivery systems and components of the plasma membrane. For the purpose, we attempt to present a broad overview of what delivery systems can be used to enhance the intracellular delivery of poorly permeable chemic entities, and how various delivery strategies are applied according to the components of plasma membrane.
Investigating User Perceptions of HRI in Social Contexts

In this paper, we present the results of a recent user study that investigates if user perception of HRI in social contexts may be affected by changing the interaction modality with the robot. Leveraging on Robot Social Attribute Scale (RoSAS) survey and on a statistical analysis, our results show that, in some interaction modalities, a greater feeling of discomfort is felt by users interacting with the robot. Interestingly, results also show the influence of users' gender on the user perception.
A Novel Doppler Rate Estimator Based on Fractional Fourier Transform for High-Dynamic GNSS Signal

When the fractional Fourier transform (FRFT) is introduced into the weak and high-dynamic global navigation satellite system (GNSS) signal acquisition, the 2-D search cell will be transferred to a 3-D one with respect to the code chip, the Doppler shift, and the Doppler rate. The proper determinations of the code bin and Doppler shift bin in the acquisition process have already been covered in the previous researches. The aim of this paper is to provide an exhaustive analysis of the approach to specify an optimal FRFT order bin, in terms of the Doppler shift rate. The lower and upper bound of FRFT order ranges is determined by the incoming signal dynamics. Then, we propose a precise model to yield an optimal FRFT order bin. Besides, a novel and fast Doppler estimator based on the non-linear least square (NLS) method is presented to improve the performance of the digital FRFT implementation. Finally, an alternate search procedure is proposed to reduce the singular estimations of the NLS method. The simulating examples demonstrate the performance of the proposed algorithms. It has been verified that the computation efficiency and the estimation accuracy have been significantly improved by proposed techniques.
Connecting velocity and entanglement in quantum walks

We investigate the relation between transport properties and entanglement between the internal (spin) and external (position) degrees of freedom in one-dimensional discrete time quantum walks. We obtain closed-form expressions for the long-time position variance and asymptotic entanglement of quantum walks whose time evolution is given by any balanced quantum coin, starting from any initial qubit and position states following $\delta$-like (local) and Gaussian distributions. We find out that the knowledge of the limit velocity of the walker together with the polar angle of the initial qubit provide the asymptotic entanglement for local states, while this velocity with the quantum coin phases give it for highly delocalized states.
Mean-field theory based on the Jacobi hsp ≔ semidirect sum hN⋊sp(2N,R)C algebra of boson operators

In this paper, we give an expression for canonical transformation group with Grassmann variables, basing on the Jacobi hsp:=semi-direct sum h_N + sp(2N,R) algebra of boson operators. We assume a mean-field Hamiltonian (MFH) linear in the Jacobi generators. We diagonalize the boson MFH. We show a new aspect of eigenvalues of the MFH. An excitation energy arisen from additional SCF parameters has never been seen in the traditional boson MFT. We derive this excitation energy. We extend the Killing potential in the Sp(2N)/U(N) coset space to the one in the Sp(2N+2)/U(N+1) coset space and make clear the geometrical structure of Kaehler manifold, a non-compact symmetric space Sp(2N+2)/U(N+1). The Jacobi hsp transformation group is embedded into an Sp(2N+2) group and an Sp(2N+2)/U(N+1) coset variable is introduced. Under such mathematical manipulations, extended bosonization of Sp(2N+2) Lie operators, vacuum function and differential forms for extended bosons are presented by using integral representation of boson state on the Sp(2N+2)/U(N+1) coset variables.
Novel Multi-Keyword Search on Encrypted Data in the Cloud

Searching on encrypted data has become a very important technique in cloud computing. Such searches enable the data owner to search on the encrypted data stored on the cloud without leaking any information. To obtain a better search experience, researchers have proposed many schemes which mainly focus on conjunctive and disjunctive keyword searches. However, conjunction of all the keywords may result in very few results, whereas a disjunction will return too many results. With the current schemes, customizing the relevancy of the keywords to obtain the desired results is difficult. To solve these problems, we propose a novel scheme that supports the search with the user-specified number of keywords contained in the search result. This number <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula> can be used to customize the keyword relevancy. As a result, the data owner could obtain the desired search results containing any <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula> keywords of a keyword set. The proposed scheme also supports the traditional disjunctive and conjunctive keyword searches when <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula> equals 1 or the size of the keyword set, respectively. The keyword could be positive or negative. We first formally define its security and then prove that the proposed scheme is secure against the adaptively chosen keyword attack in the standard model and can defend against the offline keyword guessing attack to some extent. Furthermore, we present a theoretical performance comparison with other schemes as well as the experimental performance evaluations on our implemented scheme.
Study of Nb0.18Re0.82 non-centrosymmetric superconductor in the normal and superconducting states

We examine the evidence for multiband superconductivity and non s-wave pairing in the non-centrosymmetric superconductor (NCS) Nb0.18Re0. 82, using electrical transport, magnetization and specific heat measurements. In the normal state, the evolution of electrical resistivity with temperature and magnetic field support the phonon-assisted interband scattering and multiband picture. In the superconducting state, the temperature dependence of the upper critical field, H c 2 ( T ) , is found linear and cannot be described within the Werthamer, Helfand and Hohenberg model over the whole temperature range measured. In addition, the observed H c 2 ( 0 ) exceeds the Pauli limit, suggesting non-s-wave pairing. Interestingly, the Kadowaki–Woods ratio and Uemura plot reveal a behavior in Nb0.18Re0. 82 which is similar to that found in unconventional superconductors. The normalized superfluid density (ρs), estimated using the temperature dependence of the lower critical field, H c 1 ( T ) , is well explained with the help of the multiband description. Phase fluctuation analysis conducted on the reversible magnetization data, reveals a significant deviation from the mean-field conventional s-wave behavior. This trend is interpreted in terms of a non s-wave spin-triplet component in the pairing symmetry as might be anticipated in a NCS where anti-symmetric spin–orbit coupling plays a dominant role. Recently, time reversal symmetry breaking observed in Nb0.18Re0. 82 supports this picture.