Miracle-dz/UniFAR-FTUs huggingface dataset:
Light-Weight Multicast DNS and DNS-SD (lmDNS-SD): IPv6-Based Resource and Service Discovery for the Web of Things

Internet of Things (IoT) is presenting an enormous growing, in numbers, it is estimated that over 50 billion of devices will be connected to Internet by 2020. Therefore, it presents a high scalability requirement to manage every resource connected to the network. Therefore, It is required a high capability for autonomous registration and discovery of resources and services. In addition, it should be dynamically adapted with the inclusion of new devices in the network and changes of the existing ones. Nowadays, the most extended discovery architecture for the Internet is the Domain Name Systems (DNS), which is offering through the extensions multicast DNS (mDNS) and DNS Service Directory (DNS-SD) the query and discovery of services by type and properties. It has been already carried out some initial works on mDNS and DNS-SD for the discovery of things. Thereby, it can satisfy the discovery of resources from the IoT point of view, and discovery of services, i.e. Web Services such as CoAP from the Web of Things point of view. But, it has not been yet analyzed the impact of DNS for Smart Objects, since it cannot be directly applied, because these protocols are designed for host-based requirements, where they are not taking into account the design issues and constraints from the Smart Objects. For that reason, this paper analyzes the requirements and design issues to apply these discovery techniques in Smart Objects, carries out an overview of the satisfaction of them in the initial solutions for IoT, in order to finally offer an evaluation of different ways to apply mDNS and DNS-SD for Smart Objects, concluding with a set of recommendations and lessons learned to build a lightweight implementation of mDNS and DNS-SD for resource discovery and directory.
Representing Autonomous Systems’ Self-Confidence through Competency Boundaries

A method for determining the self-confidence of autonomous systems is proposed to assist operators in understanding the state of unmanned vehicles under control. A sensing-optimization/verification-action (SOVA) model, similar to the perception-cognition-action human informational processing model, has been developed to illustrate how autonomous systems interact with their environment and how areas of uncertainty affect system performance. LIDAR and GPS were examined for scenarios where sensed surroundings could be inaccurate, while discrete and probabilistic algorithms were surveyed for situations that could result in path planning uncertainty. Likert scales were developed to represent sensor and algorithm uncertainties, and these scales laid the foundation for the proposed Trust Annunciator Panel (TAP) consisting of a series of uncertainty level indicators (ULIs). The TAP emphasizes the critical role of human judgment and oversight, especially when autonomous systems operate in clustered or dynamic environments.
Towards Constrained Teleoperation for Safe Long-Distance Robotic Surgical Operations

In this paper we present a predictive control strategy for teleoperating, through communication channels with unknown and possibly unbounded time-delay, a remotely located robotic system so as to avoid dangerous evolutions or the violation of prescribed operative or safety constraints. In particular, we consider the relevant case of putting bounds on the maximum end-effector tracking error (accuracy constraints) with respect to a nominal path while enforcing also constraints on the maximum contact force exchanged between the end-effector itself and the environment. In order to demonstrate its effectiveness, a master/slave teleoperation simulation is considered. It consists of teleoperating a two-links planar robot under contact force and accuracy constraints through a communication link affected by time-delays.
Economic Performance of Turkish Immigrant Men in the European Labour-Market: Evidence from Sweden

This paper uses eleven waves of panel-data to analyse the earnings assimilation of first-generation Turkish immigrant men in Sweden. Employment-probabilities and earnings are estimated in a fixed-effects sample selection model in order to control for both individual effects and panel-selectivity, which arise due to missing earnings-information. Local unemployment rates are used as proxy for varying local market conditions in order to control for the bias caused by equal-period-effect assumption. The results indicate that the earnings of Turkish immigrant men converge to those of natives, but their probability of being employed does not. The assimilation response of Turkish immigrants differs considerably, depending on arrival-cohorts and educational levels.
LPmade: Link Prediction Made Easy

LPmade is a complete cross-platform software solution for multi-core link prediction and related tasks and analysis. Its first principal contribution is a scalable network library supporting high-performance implementations of the most commonly employed unsupervised link prediction methods. Link prediction in longitudinal data requires a sophisticated and disciplined procedure for correct results and fair evaluation, so the second principle contribution of LPmade is a sophisticated GNU make architecture that completely automates link prediction, prediction evaluation, and network analysis. Finally, LPmade streamlines and automates the procedure for creating multivariate supervised link prediction models with a version of WEKA modified to operate effectively on extremely large data sets. With mere minutes of manual work, one may start with a raw stream of records representing a network and progress through hundreds of steps to generate plots, gigabytes or terabytes of output, and actionable or publishable results.
Risk of venous thromboembolism in women with polycystic ovary syndrome: a population-based matched cohort analysis

Background: There is an increased risk of venous thromboembolism among women taking oral contraceptives. However, whether there is an additional risk among women with polycystic ovary syndrome (PCOS) is unknown. Methods: We developed a population-based cohort from the IMS LifeLink Health Plan Claims Database, which includes managed care organizations in the United States. Women aged 18–46 years taking combined oral contraceptives and who had a claim for PCOS (n = 43 506) were matched, based on a propensity score, to control women (n = 43 506) taking oral contraceptives. Venous thromboembolism was defined using administrative coding and use of anticoagulation. We used Cox proportional hazards models to assess the relative risk (RR) of venous thromboembolism among users of combined oral contraceptives with and without PCOS. Results: The incidence of venous thromboembolism among women with PCOS was 23.7/10 000 person-years, while that for matched controls was 10.9/10 000 person-years. Women with PCOS taking combined oral contraceptives had an RR for venous thromboembolism of 2.14 (95% confidence interval [CI] 1.41–3.24) compared with other contraceptive users. The incidence of venous thromboembolism was 6.3/10 000 person-years among women with PCOS not taking oral contraceptives; the incidence was 4.1/10 000 person-years among matched controls. The RR of venous thromboembolism among women with PCOS not taking oral contraceptives was 1.55 (95% CI 1.10–2.19). Interpretation: We found a 2-fold increased risk of venous thromboembolism among women with PCOS who were taking combined oral contraceptives and a 1.5-fold increased risk among women with PCOS not taking oral contraceptives. Physicians should consider the increased risk of venous thromboembolism when prescribing contraceptive therapy to women with PCOS.
7 Action-Scaled Information for the Visual Control of Locomotion

Dave Lee’s great contribution to perceptual psychology has been to take James Gibson’s conceptual insights about the information for perception and action and to develop them theoretically. Prior to Dave’s paper in 1974, this had only been attempted once before, by Gibson, Olum, & Rosenblatt (1955), who formalized optic flow but did not invert the equations to derive new informational variables. It was not until Dave published his first and most complete description of the optic flow field (Lee, 1974, 1976) that our discipline had a mathematical formulation of the spatiotemporal information available for controlling behavior. The 1974 paper can be read as the kernel for Dave’s career, and indeed an entire field of visual-motor control, for it encompasses initial analyses of the information for the direction of self-motion, the 3D layout of surfaces, relative size, time-to-contact, the control of braking, and even the notion of body-scaled information. It’s all in there. In essence, Dave’s work represents a shift from thinking about behavior as guided by the perception of space, to thinking about behavior as a spatio-
Implementation of a Self-Motivated Arbitration Scheme for the Multilayer AHB Busmatrix

The multilayer advanced high-performance bus (ML-AHB) busmatrix employs slave-side arbitration. Slave-side arbitration is different from master-side arbitration in terms of request and grant signals since, in the former, the master merely starts a burst transaction and waits for the slave response to proceed to the next transfer. Therefore, in the former, the unit of arbitration can be a transaction or a transfer. However, the ML-AHB busmatrix of ARM offers only transfer-based fixed-priority and round-robin arbitration schemes. In this paper, we propose the design and implementation of a flexible arbiter for the ML-AHB busmatrix to support three priority policies-fixed priority, round robin, and dynamic priority-and three data multiplexing modes-transfer, transaction, and desired transfer length. In total, there are nine possible arbitration schemes. The proposed arbiter, which is self-motivated (SM), selects one of the nine possible arbitration schemes based upon the priority-level notifications and the desired transfer length from the masters so that arbitration leads to the maximum performance. Experimental results show that, although the area overhead of the proposed SM arbitration scheme is 9%-25% larger than those of the other arbitration schemes, our arbiter improves the throughput by 14%-62% compared to other schemes.
Localization of Walking Robots

Proper navigation of walking machines in unstructured terrain requires the knowledge of the spatial position and orientation of the robot. There are many approaches for localization of mobile robots in outdoor environment, but their application to walking robots is rather rare. In particular, middle sized robots like LAURON III don’t provide the possibility to carry large or heavy sensors. Due to many degrees of freedom of walking robots the localization task becomes a even more complex challenge. This paper discusses the problem, presents a method of resolution and describes the first steps towards a localization system for the six-legged walking robot LAURON III.
Graphical Password to Increase the Capacity of Alphanumeric Password

Most of the existing authentication system has certain drawbacks for that reason graphical passwords are most preferable authentication system where users click on images to authenticate themselves. An important usability goal of an authentication system is to support users for selecting the better password. User creates memorable password which is easy to guess by an attacker and strong system assigned passwords are difficult to memorize. So researchers of modern days gone through different alternative methods and conclude that graphical passwords are most preferable authentication system. The proposed system combines the existing cued click point technique with the persuasive feature to influence user choice, encouraging user to select more random click point which is difficult to guess. Keywords— Authentication, graphical passwords, images, usable security.
Accurate uplink spectral efficiency for non orthogonal multiple access in Nakagami fading

In this paper, an original analysis on the uplink spectral efficiency of non-orthogonal multiple access (NOMA) in Nakagami fading channel is introduced. Based on our exact evaluation, a closed-form expression of the spectral efficiency is proposed. Distinguished from the literature, the proposed expression yields accurate numerical results, validated by the Monte Carlo simulation, of the spectral efficiency when the randomness of channel gains and number of active users are taken into account.
CS 240 H : Implementing Paxos in

The Paxos algorithm is a distributed consensus algorithm, each round of which can be used to agree on a value proposed by a member of the group. The algorithm is tolerant to non-Byzantine errors (e.g. unreliable network environment and disconnected nodes). Despite the simplicity of the algorithm, implementing Paxos for real world applications in traditional languages can be involving and non-trivial[1]. This project implements the basic Paxos algorithm in Haskell, whose power of expressiveness can be helpful to simplify the implementation.
Endorepellin causes endothelial cell disassembly of actin cytoskeleton and focal adhesions through α2β1 integrin

Endorepellin, the COOH-terminal domain of the heparan sulfate proteoglycan perlecan, inhibits several aspects of angiogenesis. We provide evidence for a novel biological axis that links a soluble fragment of perlecan protein core to the major cell surface receptor for collagen I, alpha2beta1 integrin, and provide an initial investigation of the intracellular signaling events that lead to endorepellin antiangiogenic activity. The interaction between endorepellin and alpha2beta1 integrin triggers a unique signaling pathway that causes an increase in the second messenger cAMP; activation of two proximal kinases, protein kinase A and focal adhesion kinase; transient activation of p38 mitogen-activated protein kinase and heat shock protein 27, followed by a rapid down-regulation of the latter two proteins; and ultimately disassembly of actin stress fibers and focal adhesions. The end result is a profound block of endothelial cell migration and angiogenesis. Because perlecan is present in both endothelial and smooth muscle cell basement membranes, proteolytic activity during the initial stages of angiogenesis could liberate antiangiogenic fragments from blood vessels' walls, including endorepellin.
A New Data Set Measuring Income Inequality

This article presents a new data set on inequality in the distribution of income. The authors explain the criteria they applied in selecting data on Gini coefficients and on individual quintile groups' income shares. Comparison of the new data set with existing compilations reveals that the data assembled here represent an improvement in quality and a significant expansion in coverage, although differences in the definition of the underlying data might still affect inter temporal and international comparability. Based on this new data set, the authors do not find a systematic link between growth and changes in aggregate inequality. They do find a strong positive relationship between growth and reduction of poverty.
Your Right to Know: A Citizen's Guide to the Freedom of Information Act

Foreword by Ian Hislop Introduction Chapter 1 - FOI in practice Chapter 2 - Scotland Chapter 3 - Laws of Access Chapter 4 - Central Government Chapter 5 - Intelligence, Security and Defence Chapter 6 - Transport Chapter 7 - The Justice System Chapter 8 - Law Enforcement and Civil Defence Chapter 9 - Health Chapter 10 - The Environment Chapter 11 - Local Government Chapter 12 - Education Chapter 13 - Private Companies Chapter 14 - Information about Individuals Conclusion Appendix - Letters for requesting information
Extraction Rule Language for Web Information Extraction and Integration

The Web is the largest data source that contains a lot of valuable information of interests to users or applications. However, how to automatically navigate and extract useful data from web pages is an important issue to study. There have been a number of existing studies on this area. However, most of them do not take enough consideration on complete process of web information extraction and lack of powerful rule expression ability to describe the navigation, extraction and integration rules. In this paper, we study and propose a new web information extraction rule language toward a general model for web information extraction and integration. We first introduce a source data objects to extract different type of web data records. Then we adopt the XML to define the target data entity structure and use scripts to perform target data record integration. The results show that our extraction rule language can provide powerful and flexible ability to describe extraction logic to achieve accurate web data records extraction from complex web pages.
RESP: A k-connected residual energy-aware topology control algorithm for ad hoc networks

Most of previous topology control algorithms that aim to extend the network lifetime focus only on the energy consumption of transmissions, and thus construct a static topology without adaptation to the varying energy consumption rates at different nodes. As a result, the network lifetime has not been prolonged to the most extent as expected. However, other topology control algorithms that consider the residual energy levels of nodes have not addressed the problem of fault tolerance. In this paper, we propose an adaptive topology control algorithm, Residual Energy-aware Shortest Path (RESP), which not only balances the energy consumption of different nodes but also provides fault tolerance. Particularly, RESP is able to ensure k-edge connectivity and preserve the minimum-weight path. Simulation results show that RESP extends the network lifetime and is superior to other existing localized fault-tolerant algorithms.
Cooperative Communication Using Distributed Differential Space-Time Codes

In this paper, we propose a distributed differential en/decoding scheme for Alamouti's orthogonal space-time code using in a cooperative system. The relay terminal operates in the decode-and-forward (DF) mode. The proposed scheme does not require the knowledge of the channel state information (CSI) at either user or destination terminals
Compressed Sensing MR Image Reconstruction Exploiting TGV and Wavelet Sparsity

Compressed sensing (CS) based methods make it possible to reconstruct magnetic resonance (MR) images from undersampled measurements, which is known as CS-MRI. The reference-driven CS-MRI reconstruction schemes can further decrease the sampling ratio by exploiting the sparsity of the difference image between the target and the reference MR images in pixel domain. Unfortunately existing methods do not work well given that contrast changes are incorrectly estimated or motion compensation is inaccurate. In this paper, we propose to reconstruct MR images by utilizing the sparsity of the difference image between the target and the motion-compensated reference images in wavelet transform and gradient domains. The idea is attractive because it requires neither the estimation of the contrast changes nor multiple times motion compensations. In addition, we apply total generalized variation (TGV) regularization to eliminate the staircasing artifacts caused by conventional total variation (TV). Fast composite splitting algorithm (FCSA) is used to solve the proposed reconstruction problem in order to improve computational efficiency. Experimental results demonstrate that the proposed method can not only reduce the computational cost but also decrease sampling ratio or improve the reconstruction quality alternatively.
The compassionate bureaucrat: processing cases, facilitating change, being human

Abstract This article reports on a study the aim of which was to sketch a tentative model for illuminating variations in the professional role of a social worker, based on Swedish social work students’ own experiences of knowledge use and its premises in client meetings during field practice. Social work students voluntarily submitted narratives depicting problematic and unproblematic situations experienced during field practice in one of three broad occupational positions of social work: casework; counselling; and social assistance. Three different formative aspects were identified as constituting premises for knowledge use in social work. Knowledge use from differing epistemological domains are set in relation to the identified formative aspects, all together comprising a role that we label ‘the Compassionate Bureaucrat’.
Modeling Plants with Environment-Sensitive Automata

We present a new approach for modeling plants which allows for adaptation to geometrical and material properties of a simulated environment. The form of a plant is derived from the paths of one or more automata which begin as seeds and progressively explore the environment. The au-tomata sense their surroundings by casting rays and using intersection information to innuence subsequent patterns of growth. In this way the power of well-known ray tracing techniques is applied to a problem of geometric modeling. By seeking locations which satisfy various environmental criteria such as proximity to surfaces and availability of light, the automata extend the repertoire of simulated plant growth to include emulation of phenomena such as clinging vines and heliotropism. This approach to database am-pliication can be used in conjunction with previous methods such as particle systems and graftals.
Complexity, endogenous money and macroeconomic theory : essays in honour of Basil J. Moore

Foreword by G.C. Harcourt Preface A Tribute to Basil J. Moore and an Introduction to Complexity, Endogenous Money and Macroeconomic Theory Part I: Economic Concepts, Tools, and Methodology Part II: Complexity, Uncertainty and Path Dependence Part III: The Macroeconomics of Endogenous Money Part IV: The Macroeconomics of Exogenous Interest Rates Part V: Unemployment, Inflation and the Determination of Aggregate Income Selected Works by Basil J. Moore Index.
Modeling and Control of Aerial Manipulation Vehicle with Visual sensor

Abstract Modeling and control of a Quadrotor with robotic arm which uses vision sensor is discussed. A quadrotor model coupled with a two link manipulator is first developed and then the integrated control mechanism is investigated. An Image Based Visual Servo system is introduced and then used with the aerial manipulator to successfully perform specific tasks of positioning and stabilization during manipulation.
Visual Analog Scales, Standard Gambles, and Relative Risk Aversion

Background. It has been argued that visual analog scales (VASs) elicit an individual’s measurable value function. The theoretical link between an individual’s measurable value function v(.) and his or her von Neumann-Morgenstern utility function u(.) appears to provide a justification for transforming VAS scores into standard gamble (SG) utilities. However, VAS scores have been found to be subject to the effects of context, which casts doubt that the procedure is properly revealing v(.). Methods. The authors tested for the effects of context on VAS and SG scores. They also explored whether the range-frequency (R-F) model of Parducci offers a means of correcting VAS scores for the effects of context. Results and conclusions. The R-F model may provide a means of correcting VAS scores for the effects of context, but no stable relationship exists between these corrected scores and SG utilities. Hence, there remain no grounds for transforming VAS scores into SG utilities.