Miracle-dz/UniFAR-FTUs huggingface dataset:
Social network dynamics of face-to-face interactions

The recent availability of data describing social networks is changing our understanding of the "microscopic structure" of a social tie. A social tie indeed is an aggregated outcome of many social interactions such as face-to-face conversations or phone calls. Analysis of data on face-to-face interactions shows that such events, as many other human activities, are bursty, with very heterogeneous durations. In this paper we present a model for social interactions at short time scales, aimed at describing contexts such as conference venues in which individuals interact in small groups. We present a detailed analytical and numerical study of the model's dynamical properties, and show that it reproduces important features of empirical data. The model allows for many generalizations toward an increasingly realistic description of social interactions. In particular, in this paper we investigate the case where the agents have intrinsic heterogeneities in their social behavior, or where dynamic variations of the local number of individuals are included. Finally we propose this model as a very flexible framework to investigate how dynamical processes unfold in social networks.
Singularities in Articulated Object Tracking with 2-D and 3-D Models

Three dimensional kinematic models are widely-used in video-based figure tracking. We show that these models can suffer from singularities when motion is directed along the viewing axis of a single camera. The single camera case is important because it arises in many interesting applications, such as motion capture from movie footage. We describe a novel 2-D Scaled Prismatic Model (SPM) for figure registration. In contrast to 3-D kinematic models, the SPM has fewer singularity problems and does not require detailed knowledge of the 3-D kinematics. We fully characterize the singularities in the SPM and demonstrate tracking through singularities using synthetic and real examples. We demonstrate the application of our model to motion capture from movies. Fred Astaire is tracked in a clip from the film “Shall We Dance”. Some simple video edits are presented. These results demonstrate the benefits of the SPM in tracking with a single source of video. Rehg is with the Cambridge Research Laboratory. Email: rehg@crl.dec.com Address for Morris: Robotics Institute, Carnegie Mellon University, Pittsburgh PA 15213, USA. Email: ddm@ri.cmu. edu The work described in this report was performed at the Cambridge Research Laboratory. c Compaq Computer Corporation, 1997 This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of the Cambridge Research Laboratory of Compaq Computer Corporation in Cambridge, Massachusetts; an acknowledgment of the authors and individual contributors to the work; and all applicable portions of the copyright notice. Copying, reproducing, or republishing for any other purpose shall require a license with payment of fee to the Cambridge Research Laboratory. All rights reserved. CRL Technical reports are available on the CRL’s web page at http://www.crl. research.digital. com. Compaq Computer Corporation Cambridge Research Laboratory One Kendall Square, Building 700 Cambridge, Massachusetts 02139 USA
Multi-hour network provisioning utilizing function programmable ROADMs

The study focuses on optimization of optical networks based on function programmable ROADMs implemented by Architecture on Demand (AoD) under a multi-hour traffic scenario. The objective is to minimize the cost and energy consumption by reducing the number of active modules inside the nodes, and to investigate the impact of network reconfiguration frequency to potential savings and lightpath availability. The results indicate that AoD nodes combined with tailored routing can reduce cost and increase availability with no traffic disruptions during transitions between periods.
Isolation and Structure Elucidation of GM4-Type Gangliosides from the Okinawan Starfish Protoreaster nodosus

Three new ganglioside molecular species, termed PNG-1, PNG-2A, and PNG-2B were isolated from pyloric caeca of the starfish Protoreaster nodosus. Their structures were elucidated using a combination of spectroscopic and chemical methods, and characterized as 1-O-[8-O-methyl-N-acetyl-α-neuraminosyl-(2→3)-β-galactopyranosyl]-ceramide for PNG-1, 1-O-[β-galactofuranosyl-(1→3)-α-galactopyranosyl-(1→4)-8-O-methyl-N-acetyl-α-neuraminosyl-(2→3)-β-galactopyranosyl]-ceramide for PNG-2A, and 1-O-[β-galactofuranosyl-(1→3)-α-galactopyranosyl-(1→9)-N-acetyl-α-neuraminosyl-(2→3)-β-galactopyranosyl]-ceramide for PNG-2B. PNG-2A and PNG-2B represent the first GM4 elongation products in nature.
Extending Behavior-Based Systems Capabilities Using An Abstract Behavior Representation

Behavior-based systems BBS have been e ective in a variety of applications, but due to their limited use of representation (sentence or logic-like structures) they have not been used much for more complex problems involving sequences of behaviors and they have been typically constructed by hand for each task. In this paper, we present an abstract behavior representation that allows for automatically specifying behavior networks thatbehavior representation that allows for automatically specifying behavior networks that encode complex behavioral sequences, based on a given set of underlying behaviors, and avoids customized behavior redesign while accommodating the speci cs of a new task. The representation, obtained by separating behaviors into two classes, abstract and primitive, allows BBS to generate and maintain complex plan-like strategies as well as switch them at run-time, without any need for behavior redesign and/or recompilation. To validate the described representation we have performed two object delivery tasks, involving behavior con icts and various initial conditions, using a Pioneer2 DX mobile robot.
Emergent Language Responses Following Match-to-Sample Training among Children with Autism Spectrum Disorder

The present study explored the effects of match-to-sample training on emergent responses in the domains of receptive and expressive language among children with autism spectrum disorder (ASD) in an applied setting. A concurrent multiple probe design across six participants was applied, with a follow-up after 10 days. All six children participated in a match-to-sample training procedure. The participants were trained to match a picture card of an item with a word card corresponding to the name of the item, and a word card of an item with a picture card corresponding to the name of the item. After training, three participants developed the emergent responses of receptively identifying and expressively naming both picture cards and word cards. There was a correspondence between acquired matching skills and the development of emergent language responses. Follow-up measures showed that the acquired emergent responses remained somewhat stable over time. The results are discussed in relation to prior research and in terms of implications for teaching children with ASD language skills in applied settings such as preschools. The results are also discussed in relation to the participant’s prior verbal skills and to the retention of emergent language responses.
INCREASING THE EFFICIENCY OF THE SOFTWARE ARCHITECTURE RECOVERY THROUGH SPANNING TREE BASED MAXIMAL GRAPH MINING TECHNIQUE

This paper represents a technique for recovering the Software Architecture based on Graph Pattern Matching by the help of mining techniques. Generally Software Architecture is represented in terms of graphs with set of vertices and edges. Finding the frequent data sets is the major step in the software architecture recovery. Many algorithms are proposed in this context, for example Apriori based. In this paper to find the frequent data sets and a maximum association between the graphs we used an efficient algorithm called SPIN (Spanning tree based Maximal Graph Mining Technique). The results have shown that our proposed Graph mining technique is more efficient in recovering the Software Architecture.
Data Dependent Mesh Generation for Piecewise Linear Interpolation

In this dissertation we draw together several of the commonly used data dependent mesh adaption strategies for meshes consisting of triangular elements. Such triangulations are often of particular interest when considering the numerical solution of mathematical models. The strategies are based on three primary building blocks for mesh adaption. These being, nodal reconnection, nodal movement and mesh refinement. The supporting theory under which this work is conducted is formally defined and the motivation for developing mesh adaption techniques is presented. Under this framework, we provide implementations of the ideas discussed, and conduct numerical experiments in order to asses their success. Finally we suggest modifications to the existing methods that may provide more flexible and efficient mesh adaption strategies. Declaration I confirm that this is my own work, and the use of all material from other sources has been properly and fully acknowledged.
The Enterprise Paral lel Programming System

The Enterprise parallel programming system allows programmers to create, compile, execute, and debug parallel applications that execute over a network of workstations. The run-time system, which is responsible for the correct execution of user programs, was redesigned and re-implemented using object-oriented technology. This paper details the object-oriented components of the design where the Composite, Adapter, and Strategy design patterns were applied.
Application of the 2-D wavelet transform to astrophysical images

The 2-D continuous wavelet transform has been applied to a number of problems in astrophysics. We survey quickly some of these, then focus on two new applications. The first one is the automatic detection and analysis of special objects from the solar corona in the data taken by the EIT instrument aboard the SoHO satellite. The second problem is the detection of gamma sources in the Universe, the difficulty lying in the discrimination of faint sources against a highly nonuniform background and the large number of sources (to be) measured by satellites like EGRET and GLAST.
A preliminary exploration of implications of the media equation on IR systems

In this study, we examined the effects of the media equation on Web search engine. We constructed four systems that combined two types of character (human, robot) and two ways of speaking (authority, modest) and a base system that has no characters or speaking. The experiment was conducted to compare impressions and evaluations of these systems. The results showed that (1) the impression of the system changes by adding human elements to the system, (2) the evaluation of the system changes by changing the characters and messages of the system, even if such systems have the same performances, (3) modest messages had a modest impression, (4) the impression of a modest human is greater than that of an authoritative human, (5) human characters are more trusted when sending modest messages, and (6) robot characters are more trusted when sending authoritative messages.
Optimal Virtual Channel Insertion for Contention Alleviation and Deadlock Avoidance in Custom NoCs

Deadlock and contention can be avoided in an NoC architecture by employing virtual channels (VC). VC insertion can result in power and chip area increases with little performance improvements. We present a novel VC insertion technique for deadlock avoidance and contention relief in irregular NoC architectures that avoids significant power and area increase. Given a resource pool of VCs, deadlock/contention analytical models, and a systematic pre-evaluation technique, minimal VC resources are inserted resulting in higher performance. Several experiments are conducted on various SoC benchmark applications. The results of our technique indicate an average performance improvement of 21%, 32.4% decrease in power dissipation and 79.5% resource savings as compared to past techniques.
Care in specialist medical and mental health unit compared with standard care for older people with cognitive impairment admitted to general hospital: randomised controlled trial (NIHR TEAM trial)

Objective To develop and evaluate a best practice model of general hospital acute medical care for older people with cognitive impairment. Design Randomised controlled trial, adapted to take account of constraints imposed by a busy acute medical admission system. Setting Large acute general hospital in the United Kingdom. Participants 600 patients aged over 65 admitted for acute medical care, identified as “confused” on admission. Interventions Participants were randomised to a specialist medical and mental health unit, designed to deliver best practice care for people with delirium or dementia, or to standard care (acute geriatric or general medical wards). Features of the specialist unit included joint staffing by medical and mental health professionals; enhanced staff training in delirium, dementia, and person centred dementia care; provision of organised purposeful activity; environmental modification to meet the needs of those with cognitive impairment; delirium prevention; and a proactive and inclusive approach to family carers. Main outcome measures Primary outcome: number of days spent at home over the 90 days after randomisation. Secondary outcomes: structured non-participant observations to ascertain patients’ experiences; satisfaction of family carers with hospital care. When possible, outcome assessment was blind to allocation. Results There was no significant difference in days spent at home between the specialist unit and standard care groups (median 51 v 45 days, 95% confidence interval for difference −12 to 24; P=0.3). Median index hospital stay was 11 versus 11 days, mortality 22% versus 25% (−9% to 4%), readmission 32% versus 35% (−10% to 5%), and new admission to care home 20% versus 28% (−16% to 0) for the specialist unit and standard care groups, respectively. Patients returning home spent a median of 70.5 versus 71.0 days at home (−6.0 to 6.5). Patients on the specialist unit spent significantly more time with positive mood or engagement (79% v 68%, 2% to 20%; P=0.03) and experienced more staff interactions that met emotional and psychological needs (median 4 v 1 per observation; P<0.001). More family carers were satisfied with care (overall 91% v 83%, 2% to 15%; P=0.004), and severe dissatisfaction was reduced (5% v 10%, −10% to 0%; P=0.05). Conclusions Specialist care for people with delirium and dementia improved the experience of patients and satisfaction of carers, but there were no convincing benefits in health status or service use. Patients’ experience and carers’ satisfaction might be more appropriate measures of success for frail older people approaching the end of life. Trial registration Clinical Trials NCT01136148
A Hybrid TS-DE Algorithm for Reliability Redundancy Optimization Problem

In this paper, a hybrid TS-DE algorithm based on Tabu search and differential evolution algorithm is proposed to solve the reliability redundancy optimization problem. A differential evolution algorithm is embedded in Tabu search algorithm. TS is applied for searching solutions space, and DE is used for generating neighborhood solutions. The advantages of both algorithms are considered simultaneously. And an adaptive hybrid TS-DE approach is developed to solve three benchmark reliability redundancy allocation problems. By comparing with other algorithms reported in previous literatures, experimental results show that the proposed method is effective and efficient for solving the reliability redundancy optimization problem.
Annotating State of Mind in Meeting Data

We discuss the annotation procedure for mental state and emotion that is under development for the AMI (Augmented Multiparty Interaction) corpus. The categories that were found to be most appropriate relate not only to emotions but also to (meta-)cognitive states and interpersonal variables. The history of the development of the annotation scheme is briefly described. The discussion centers around the presentation of the procedure.
Hypothesis Testing for Arbitrarily Varying Source with Multiterminal Data Compression

The multiterminal hypothesis testing for arbitrarily varying sources (AVS) is considered. This is an extension of Han’s [1] and Ahlswede-Csiszár [2] schemes for a more general class of sources. In part, the solutions can be easily specialized for earlier known particular cases.
Patient-specific Model of Brain Deformation: Application to Medical Image Registration

This contribution presents finite element computation of the deformation field within the brain during craniotomy-induced brain shift. The results were used to illustrate the capabilities of non-linear (i.e. accounting for both geometric and material non-linearities) finite element analysis in non-rigid registration of pre-and intra-operative magnetic resonance images of the brain. We used patient-specific hexahedron-dominant finite element mesh, together with realistic material properties for the brain tissue and appropriate contact conditions at boundaries. The model was loaded by the enforced motion of nodes (i.e. through prescribed motion of a boundary) at the brain surface in the craniotomy area. We suggest using explicit time-integration scheme for discretised equations of motion, as the computational times are much shorter and accuracy, for practical purposes, the same as in the case of implicit integration schemes. Application of the computed deformation field to register (i.e. align) the pre-operative images with the intra-operative ones indicated that the model very accurately predicts the displacements of the tumour and the lateral ventricles even for limited information about the brain surface deformation. The prediction accuracy improves when information about deformation of not only exposed (during craniotomy) but also unexposed parts of the brain surface is used when prescribing loading. However, it appears that the accuracy achieved using information only about the deformation of the exposed surface, that can be determined without intra-operative imaging, is acceptable. The presented results show that non-linear biomechanical models can complement medical image processing techniques when conducting non-rigid registration. Important advantage of such models over the previously used linear ones is that they do not require unrealistic assumptions that brain deformations are infinitesimally small and brain stress–strain relationship is linear.
A Stochastic Model for Virus Growth in a Cell Population

In this work we introduce a stochastic model for the spread of a virus in a cell population where the virus has two ways of spreading: either by allowing its host cell to live and duplicate, or by multiplying in large numbers within the host cell, causing the host cell to burst and thereby let the virus enter new uninfected cells. The model is a kind of interacting Markov branching process. We focus in particular on the probability that the virus population survives and how this depends on a certain parameter λ which quantifies the ‘aggressiveness’ of the virus. Our main goal is to determine the optimal balance between aggressive growth and long-term success. Our analysis shows that the optimal strategy of the virus (in terms of survival) is obtained when the virus has no effect on the host cell's life cycle, corresponding to λ = 0. This is in agreement with experimental data about real viruses.
Power Sharing Method Based on Droop Control for Three-Phase UPS Systems

The main objective of this paper is to improve the power sharing capability and to achieve synchronization between three-phase Uninterruptible power supply (UPS) units in the presence of load interruption. This paper presents a droop-controlled scheme in such a way that the computation of the instantaneous value of the active power and the reactive power are taken as feedback signals to the frequency and voltage restoration control system. The restored frequency and voltage are introduced to voltage controller circuit, which produces a suitable control signal to sinusoidal pulse width modulation circuit (SPWM). Thus producing a suitable trigger pulses to the inverter gate in order to guarantee synchronization between three-phase UPS units. Simulation of two UPS units with the same ratings (4 KW) are carried out using MATLAB. The results show the effectiveness of the proposed control system in achieving synchronization and improving the power sharing capability in the presence of load interruption. Keywords: Uninterruptible power supply; power sharing; parallel operation; droop control . DOI : 10.7176/JETP/9-4-02 Publication date : April 30 th 2019
Modeling Common Long-range Dependence in Levels or Volatilities using Markov Chain Monte Carlo Methods

We present a sampling-based Bayesian approach for modeling and forecasting a common factor time series model in which the common components are long-range dependent. The Gibbs sampling framework allows us to use a less computationally demanding ARMA model to approximate the common long-range dependent behavior in the sampling algorithm; we then adjust for the approximation using importance sampling. The sampling framework also allows for easy incorporation of other features, such as possible outlying observations and non-Gaussian disturbances. We illustrate the estimation procedure using simulated data and real inflation data for two neighboring European countries. We then discuss an extension of the method for estimation of a non-Gaussian multivariate stochastic volatility (MVSV) model with common long-range dependent components in the Bayesian framework. The common component MVSV model is applied to stock return volatility data for companies having similar annual sales.
The old and the new: vaccine hesitancy in the era of the Web 2.0. Challenges and opportunities

Summary The phenomenon known as vaccine hesitancy (a term that includes the concepts of indecision, uncertainty, delay and reluctance) is complex, closely linked to social contexts, and has different determinants: historical period, geographical area, political situation, complacency, convenience and confidence in vaccines. The World Health Organization (WHO) recommends that vaccine hesitancy and any proxy of it should be constantly monitored. Given the growing importance and pervasiveness of information and communication technologies (ICTs), the new media could be exploited in order to track lay-people's perceptions of vaccination in real time, thereby enabling health-care workers to actively engage citizens and to plan ad hoc communication strategies. Analysis of so-called "sentiments" expressed through the new media (such as Twitter) and the real-time tracking of web-related activities enabled by Google Trends, combined with the administration of specific online "surveys" on well-defined themes to target groups (such as health-care workers), could constitute a "Fast data monitoring system" that yields a snapshot of perceptions of vaccination in a given place and at a specific time. This type of dashboard could be a strategic tool that enables public services to organize targeted communication actions aimed at containing vaccine hesitancy.