Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantum strategic game theory

We propose a simple yet rich model to extend strategic games to the quantum setting, in which we define quantum Nash and correlated equilibria and study the relations between classical and quantum equilibria. Unlike all previous work that focused on qualitative questions on specific games of very small sizes, we quantitatively address the following fundamental question for general games of growing sizes: How much "advantage" can playing quantum strategies provide, if any? Two measures of the advantage are studied. 1. Since game mainly is about each player trying to maximize individual payoff, a natural measure is the increase of payoff by playing quantum strategies. We consider natural mappings between classical and quantum states, and study how well those mappings preserve equilibrium properties. Among other results, we exhibit a correlated equilibrium p whose quantum superposition counterpart [EQUATION] is far from being a quantum correlated equilibrium; actually a player can increase her payoff from almost 0 to almost 1 in a [0, 1]-normalized game. We achieve this by a tensor product construction on carefully designed base cases. The result can also be interpreted as in Meyer's comparison [47]: In a state no classical player can gain, one player using quantum computers has an huge advantage than continuing to play classically. 2. Another measure is the hardness of generating correlated equilibria, for which we propose to study correlation complexity, a new complexity measure for correlation generation. We show that there are n-bit correlated equilibria which can be generated by only one EPR pair followed by local operation (without communication), but need at least log2(n) classical shared random bits plus communication. The randomized lower bound can be improved to n, the best possible, assuming (even a much weaker version of) a recent conjecture in linear algebra. We believe that the correlation complexity, as a complexity-theoretical counterpart of the celebrated Bell's inequality, has independent interest in both physics and computational complexity theory and deserves more explorations.
A Visual Goodness-of-Fit Test for Econometric Models

This paper designs a visual goodness-of-fit test based on the probability integral transformation of the residuals of an estimated model. We illustrate the method with histograms and correlograms of transformed series for different distributions of disturbances in simulated models. An application of the proposed test to the modeling of daily stock-market returns is also presented.
Performance analysis of MIMO multi relay system in cooperative relay network

Cooperative networks have been presented as a topology for next generation mobile networks. It realizes a new form of diversity. Diversity can be achieved in MIMO relay networks using high complexity equalizers and error free forwarding to relays. It has already been proposed how to achieve joint diversity in decode and forward MIMO relay networks. To achieve this objective, power scaling strategy and channel controlled ARQ schemes were proposed. Zero Forcing Equalizers were employed to maintain low complexity at both relay and destination. Cooperative relays will be adopted in the MIMO relay networks. Closed form expressions for probability of error is derived for the system. Also a threshold based relay node selection algorithm is proposed for selecting the best relay where each relay node decides to relay or keep silent according to its own instantaneous channel gain and a predefined threshold, Mathematical expressions are derived for the above mentioned networks. Simulation results are shown for the same.
A sparsity detection framework for on-off random access channels

This paper considers a simple on-off random multiple access channel (MAC), where n users communicate simultaneously to a single receiver. Each user is assigned a single codeword which it transmits with some probability λ over m degrees of freedom. The receiver must detect which users transmitted. We show that detection for this random MAC is mathematically equivalent to a standard sparsity detection problem. Using new results in sparse estimation we are able to estimate the capacity of these channels and compare the achieved performance of various detection algorithms. The analysis provides insight into the roles of power control and multi-user detection.
XGSP-Floor : Floor Control for Synchronous and Ubiquitous Collaboration

With the advances in a variety of software/hardware technologies and wireless networking, there is coming a need for ubiquitous collaboration which allows people to access information systems independent of their access device and their physical capabilities and to communicate with other people in anytime and anywhere. Also, with the maturity of evolving computing paradigms and collaborative applications, a workspace for working together is being expanded from locally collocated physical place to geographically dispersed virtual place. Current virtual conferencing systems are not suitable for building integrated collaboration systems to work together in the same collaboration session. They also lack support for ubiquitous collaboration. As the number of collaborators with a large number of disparate access devices increases, mechanisms for dealing with consistency in an application shared among collaborators will have to be considered in an unambiguous manner. In this paper we address issues related in building a framework for synchronous and ubiquitous collaboration as well as heterogeneous community collaboration. First, to make ubiquitous collaboration more promising, we briefly present a framework built on heterogeneous (wire, wireless) computing environment and a set of session protocols defined in XML to provide a generic solution for controlling sessions and participants’ presences in collaboration, developed by Global-MMCS (Global Multimedia Collaboration System) project in Community Grids Lab (CGL) at Indiana University. Second, to provide a solution for maintaining shared state consistency at application level, we present a floor control mechanism which coordinates activities occurred in synchronously cooperating applications being shared among collaborators. The mechanism with strict conflict avoidance and non-optimistic locking strategy allows all participants to have the same views and data at all times.
Centrality-based peer rewiring in semantic overlay networks: Short paper

Peer rewiring aims to update peer's contacts to other peers in a network. It is one of the classic approaches to semantic overlay networks(SON), the network organization where peers with semantically similar content are clustered together. To perform peer rewiring, each peer periodically collects the information of other peers in the network and uses them to update its existing contacts. While the information are collected either by random or by similarity-based gradient strategy in the literature, we propose a centrality-based approach to improve the efficiency of peer rewiring. The centrality is defined as peer's capability to access other peers in its neighborhood in SON. By integrating centrality in the similarity-based gradient strategy, more similar peers are expected to be collected in a shorter time. We test our proposal by adding new peers in an unstructured P2P network with more than 20000 peers, where similar peers are already clustered up. The proposed approach greatly improves the rewiring efficiency of the new peers, comparing to similarity-based gradient strategy(the state-of-the-art approach).
Vigor of Movements and the Cost of Time in Decision Making

If we assume that the purpose of a movement is to acquire a rewarding state, the duration of the movement carries a cost because it delays acquisition of reward. For some people, passage of time carries a greater cost, as evidenced by how long they are willing to wait for a rewarding outcome. These steep discounters are considered impulsive. Is there a relationship between cost of time in decision making and cost of time in control of movements? Our theory predicts that people who are more impulsive should in general move faster than subjects who are less impulsive. To test our idea, we considered elementary voluntary movements: saccades of the eye. We found that in humans, saccadic vigor, assessed using velocity as a function of amplitude, was as much as 50% greater in one subject than another; that is, some people consistently moved their eyes with high vigor. We measured the cost of time in a decision-making task in which the same subjects were given a choice between smaller odds of success immediately and better odds if they waited. We measured how long they were willing to wait to obtain the better odds and how much they increased their wait period after they failed. We found that people that exhibited greater vigor in their movements tended to have a steep temporal discount function, as evidenced by their waiting patterns in the decision-making task. The cost of time may be shared between decision making and motor control.
The Problem of Metal Needles in Acupuncture-fMRI Studies

Acupuncture is a therapy based on sensory stimulation of the human body by means of metal needles. The exact underlying mechanisms of acupuncture have not been clarified so far. Functional magnetic resonance imaging (fMRI) has become an important tool in acupuncture research. Standard acupuncture needles, which are made of ferromagnetic steel, however, are problematic in acupuncture-fMRI studies for several reasons, such as attraction by the scanner's magnetic field, significant image distortions and signal-dropouts, when positioned close to the head or even heating due to absorption of radio frequency (RF). The aim of this study was to compare two novel types of acupuncture needles with a standard needle for their effect on MRI image quality. The standard needle severely reduced image quality, when located inside the RF coil. The nonferromagnetic metal needle may pose a risk due to RF heating, while the plastic needle has a significantly larger diameter. In conclusion, our recommendations are: (1) standard needles should not be used in MRI; (2) Nonferromagnetic metal needles seem to be the best choice for acupoints outside of the transmitter coil; and (3) only plastic needles are suited for points inside the coil. Laser acupuncture may be a safe alternative, too.
Identifying Time-varying Drivers of Social Media Issues and Conversations

DOI: 10.9734/JAMCS/2019/47118 Editor(s): (1) Dr. Oguntunde, Pelumi Emmanuel, Department of Mathematics, College of Science and Technology, Covenant University, Ota, Ogun State, Nigeria. (2) Dr. Thomas L. Toulias, Department of Biomedical Sciences, University of West Attica, Greece. (3) Dr. Kai-Long Hsiao, Associate Professor, Taiwan Shoufu University, Taiwan. Reviewers: (1) Margarita Išoraitė, Vilniaus kolegija-The University Applied Sciences, Lithuania. (2) Husein Mohamed Cirbad, Annamalai University, India. Complete Peer review History: http://www.sdiarticle3. com/review-history/47118
Causal Inference in Social Media Using Convergent Cross Mapping

Revealing underlying causal structure in social media is critical to understanding how users interact, on which a lot of security intelligence applications can be built. Existing causal inference methods for social media usually rely on limited explicit causal context, pre-assume certain user interaction model, or neglect the nonlinear nature of social interaction, which could lead to bias estimations of causality. Inspired from recent advance in causality detection in complex ecosystems, we propose to take advantage of a novel nonlinear state space reconstruction based approach, namely Convergent Cross Mapping, to perform causal inference in social media. Experimental results on real world social media datasets show the effectiveness of the proposed method in causal inference and user behavior prediction in social media.
Interdependencies and Collaborative Action for Platform Leadership: A Comparative Analysis of Two Leading Chinese Multi-Sided Digital Platforms

Asia continues to lead e-commerce growth worldwide, with multi-sided platforms like Alibaba.com, 360buy.com and Taobao.com leading the race. Despite their rising prominence, few studies articulate how these multi-sided platforms in Asia service and collaborate with it sides. It is important to learn how platforms encounter and adapt to changing suppliers-platform-customers interactions, to better understand the implications of e-commerce necessary to compete and lead in this digitally enabled landscape. Furthermore, scholars suggest research to discern between modernization of Asia and Westernization. To close these gaps, the authors conduct a case study of two of China’s leading multisided digital platforms—A.com and M.com. The researchers cross-examine the development of the two firms since their establishing, focusing on collaborative strategies with their sides and within their business units, through interdependencies and collective action conceptual perspectives. The contributions of this paper are two-fold. Firstly, we introduce a framework that identifies four types (IIV) of multi-sided platform collaborations. This framework prescribes guidelines to identify and manage different types of collaborative action for strategic planning and operations between platform partners. Secondly, we consolidate four lessons learnt from our data—teach, consolidate, co-opete and ultimately lead—a set of actionable guidelines for platform leadership in the marketplace.
Accelerator-rich architectures: Opportunities and progresses

To drastically improve energy efficiency, we believe future processors need to go beyond parallelization and provide architecture support for customization, enabling systems to adapt to different application domains. In particular, we believe future architectures will make extensive use of accelerators to significantly reduce energy consumption. Such architectures present many new challenges and opportunities, such as accelerator synthesis, scheduling, sharing, virtualization, memory hierarchy optimization, and efficient compilation and runtime support. With respect to these areas, we review the progress of our research in the Center for Domain-Specific Computing (supported by the NSF Expeditions-in-Computing Award), and discuss ongoing work and additional challenges.
PHONOLOGICAL ASPECTS OF READING RATE STRATEGIES

This paper deals with the effect of tempo on phonological structure. In two production experiments, German speakers were asked to read texts at three selfselected rates, "normal", "fast", and "slow". Differe nt speaker strategies were inspected in terms of pausing, phrasing, pitch accent struct ure and segmental reductions. The first aim of the study is to describe th e reorganisation of the phonological structure as a function of the three speech ra te categories. The second goal is to discuss the strategies used in speaking faster an d slower than normal, considering in particular the homogeneity among speakers and the symmetry within speakers. The differences found between and within speakers provide a basis for modelling individual tempo profiles at the phonol ogical level, which could be exploited e.g. for the synthesis of individual voi ces and speaking styles. Dieser Artikel befast sich mit der Auswirkung von Sprechtempo auf die phonologische Struktur. In zwei Sprachproduktionsexperimenten wurden Muttersprachler des Deutschen gebeten, Texte in drei verschiedenen Geschwindigkeiten vorzulesen ("normal", "schnell", "langsam"). Die verschiedenen Sprecherstrategien wur den im Hinblick auf Pausierung, Phrasierung, Tonakzentstruktur und segmentale Reduktion untersucht. Das erste Ziel der Studie ist die Beschreibung de r Reorganisation der phonologischen Struktur als eine Funktion der drei Tempokategorien. Das zweite Ziel besteht in der Besprechung der zum Schneller- und Langsamersprechen benutzten Strategien unter Berucksichtigung der Homogenitat unter den Sprechern und der Symmetrie innerhalb der Sprecher. Die gefundenen Unterschiede zwischen und innerhalb von Sprechern bieten eine Basis zur Model lierung individueller Tempoprofile auf phonologischer Ebene, wie sie z.B. fur die Synthese individueller Stimmen und bestimmter Sprechstile genutzt werde n konnen.
We work so hard and they don't use it: acceptance of software tools by teachers

Animation systems-software tools that can show a dynamic view of the execution of a program-were designed to help novices improve their understanding and to help teachers facilitate learning. Preliminary studies on the effectiveness of animation systems on the understanding of students have shown encouraging results. Nevertheless, the use of animation system is not very widespread. This paper presents the results of a phenomenographic study designed to describe the different ways that teachers experience the use of an animation system as a pedagogical tool. The results suggest that increased acceptance of such tools by teachers depends on integrating the tools with other learning materials and on addressing the role of the teacher in the use of software by the students.
Ontology Based Rewriting Data Cleaning Operations

Dealing with increasing amounts of data creates the need to deal with redundant, inconsistent and/or complementary repositories which may be different in their data models and/or in their schema. Current data cleaning techniques developed to tackle data quality problems are just suitable for scenarios were all repositories share the same model and schema. Recently, an ontology-based methodology was proposed to overcome this limitation. In this paper, this methodology is briefly described and applied to a real scenario in the health domain with data quality problems.
On training of artificial neural networks

A theory and methodology are presented for training artificial neural networks in a general setting. Starting with defining general concepts, and analyzing associated properties of artificial neural networks, the authors formalize, categorize, and characterize artificial neural networks from a system point of view. They focus on the analysis aspect of artificial neural nets to address and investigate trainability and representability; on the synthesis aspect of artificial neural nets to provide design principles to the systems; and on the algorithmic aspect of the artificial neural nets to develop an effective and efficient learning paradigm. <<ETX>>
Differential-type Structures and C-elements for GaAs MESFET Asynchronous Circuits

In any high-speed digital circuit, problems like clock skew, transmission delays and off-chip communication are worrisome. Being particularly fast, GaAs technology is a good candidate for global clock free design. In this paper, a detailed analysis of several differential-type structures and C-elements, used to build self-timed delay-insensitive circuits, is carried out by HSPICE simulations in terms of speed and power dissipation. These structures were used to evaluate three versions of a GaAs self-timed ring divider. The comparison reinforces the previous analysis.
Approval regulation and learning, with application to timing of merger control

This paper analyzes the optimal combination of ex ante and ex post regulation of an activity. Additional information about the sign and extent of the externality associated with the activity becomes available only once a private party undertakes the activity, but undoing the activity at that stage is costly. We characterize when the regulator should commit not to reevaluate the activity ex post. The case for ex post regulation is strengthened if the private party can signal its private information about the consequences of the activity, but it is weakened if the cost of undoing the activity can be manipulated. Keywords: Regulatory approval, competition policy, merger review, learning, signaling. JEL Classi cation: D18 (Consumer Protection); D62 (Externalities); D83 (Search; Learning; Information and Knowledge); K21 (Antitrust Law); K32 (Environmental, Health, and Safety Law); L51 (Economics of Regulation). We are grateful for comments by our discussants (Louis Kaplow, Alvin Klevorick, Kai-Uwe Kühn, and Rune Stenbacka), as well as by Amy Ando, Andrei Barbos, Umberto Garfagnini, Jerry Hausman, Emeric Henry, Lynne Kiesling, Niko Matouschek, Volker Nocke, Martin Peitz, Patrick Rey, Scott Stern, Andrew Thomson, Helen Weeds, and seminar participants at Duke, HEC Montreal, the NBER Law and Economics Program, the Searle Conference on Antitrust Economics and Policy at Northwestern University, the NIE Conference at the UK Competition Commission in London, the 2009 International Industrial Organization Conference in Boston, and the ZEW Conference on Ex-Post Evaluation of Competition Policy in Frankfurt. Financial support from the Searle Center on Law, Regulation, and Economic Growth is gratefully acknowledged. This paper is the winner of the 2009 Robert F. Lanzillotti Prize for best paper in antitrust economics at the International Industrial Organization Conference. yKellogg School of Management, Northwestern University, 2001 Sheridan Road, Evanston, IL 602082013, USA. Email: m-ottaviani@northwestern.edu. zNorthwestern University School of Law, 357 East Chicago Avenue, Chicago, IL 60611, USA. Email: a-wickelgren@law.northwestern.edu.
Overexpression of the SuUR gene induces reversible modifications at pericentric, telomeric and intercalary heterochromatin of Drosophila melanogaster polytene chromosomes

The SuUR (suppressor of underreplication) gene controls late replication and underreplication of DNA in Drosophila melanogaster polytene chromosomes: its mutation suppresses DNA underreplication whereas additional doses of the normal allele strongly enhances underreplication. The SuUR protein is localized in late replicating and underreplicating regions. The N-terminal part of the SuUR protein shares modest similarity with the ATPase/helicase domain of SWI2/SNF2 chromatin remodeling factors, suggesting a role in modification of chromatin structure. Here we describe novel structural modifications of polytene chromosomes (swellings) and show that SuUR controls chromatin organization in polytene chromosomes. The swellings develop as the result of SuUR ectopic expression in the transgene system Sgs3-GAL4; UAS-SuUR+. They are reminiscent of chromosome puffs and appear in ∼190 regions of intercalary, pericentric and telomeric heterochromatin; some of them attain tremendous size. The swellings are temperature sensitive: they are maximal at 29°C and are barely visible at 18°C. Shifting from 29°C to 18°C results in the complete recovery of the normal structure of chromosomes. The swellings are transcriptionally inactive, since they do not incorporate [3H]uridine. The SuUR protein is not visualized in regions of maximally developed swellings. Regular ecdysone-inducible puffs are not induced in cells where these swellings are apparent.
Discovering Speech Acts in Online Discussions: A Tool-supported method

The increasing participation of users of software applications in online discussions is attracting the attention of researchers in requirements elicitation to look at this channel of communication as potential source of requirements knowledge. Taking the perspective of software engineers who analyse online discussions, the task of identifying bugs and new features by reading huge threads of e-mails can become effort demanding and error prone. Recognising discussants’ speech acts in an automated manner is important to reveal intentions, such as suggesting, complaining, which can provide indicators for bug isolation and requirements. This paper presents a tool-supported method for identifying speech acts, which may provide hints to software engineers to speed up the analysis of online discussions. It builds on speech act theory and on an adaptation of the GATE framework, which implements computational linguistic techniques.