Miracle-dz/UniFAR-FTUs huggingface dataset:
Translational research in aphasia: from neuroscience to neurorehabilitation.

PURPOSE In this article, the authors encapsulate discussions of the Language Work Group that took place as part of the Workshop in Plasticity/NeuroRehabilitation Research at the University of Florida in April 2005. METHOD In this narrative review, they define neuroplasticity and review studies that demonstrate neural changes associated with aphasia recovery and treatment. The authors then summarize basic science evidence from animals, human cognition, and computational neuroscience that is relevant to aphasia treatment research. They then turn to the aphasia treatment literature in which evidence exists to support several of the neuroscience principles. CONCLUSION Despite the extant aphasia treatment literature, many questions remain regarding how neuroscience principles can be manipulated to maximize aphasia recovery and treatment. They propose a framework, incorporating some of these principles, that may serve as a potential roadmap for future investigations of aphasia treatment and recovery. In addition to translational investigations from basic to clinical science, the authors propose several areas in which translation can occur from clinical to basic science to contribute to the fundamental knowledge base of neurorehabilitation. This article is intended to reinvigorate interest in delineating the factors influencing successful recovery from aphasia through basic, translational, and clinical research.
Peptide LL-37 Endogenous Human Host Defense Inflammatory Response by the Modulation of the TLR-Mediated

of December 21, 2009 This information is current asJ. Immunol. 2006;176;2455-2464 €Brinkman and Robert E. W. Hancock Pistolic, Jon-Paul Powers, Jenny Bryan, Fiona S. L. Fiona M. Roche, Ruixia Mu, Gregory H. Doho, JelenaBowdish, Silvana Doria, Reza Falsafi, Karsten Hokamp, Neeloffer Mookherjee, Kelly L. Brown, Dawn M. E. €
Assessing roles of people, technology and structure in emergency management systems: a public sector perspective

Emergency management systems are a critical factor in successful mitigation of natural and man-made disasters, facilitating responder decision making in complex situations. Based on socio-technical systems, have which four components (people, technology, structure and task), this study develops a research framework of factors affecting effective emergency management. People factors include psychological factors such as responders' self-efficacy, support from family, peers and community, and training. Technology factors are task technology and information sharing. The structure factors are leadership, labour and logistics. Finally, the task factor refers to effective emergency management. This study empirically tests this framework by collecting surveys from emergency responders who participated in the 2006 Buffalo October Storm. The research results demonstrate that training and support positively affect emergency management self-efficacy which, in turn, has a positive significant relationship with effective emergency management. Task technology and information sharing also have a positive impact on effective emergency management. However, findings suggest that the structure factors do not show a significant relationship with effective emergency management. This research presents that human factors in emergency management are essential to conduct effective operations. More importantly, investing in technology to assist responders in performing their jobs during the emergency is crucial during the emergency operations.
Dependable Systems of Systems Final Results on Architectures and Dependable Mechanisms for Dependable SoSs

Introduction WP Achievements The main objective of the DSoS Workpackage on architecture and design was to deliver the definition of an environment for the construction of dependable SoSs out of heterogeneous systems and dependability mechanisms assisting in building such systems. Towards that aim, the project has conducted research work in the three following complementary areas: • Provision of an environment that assists developers during the design phase of DSoSs, through support for architectural modelling and quality analysis of DSoSs. In the environment, DSoS architectures are specified using an extensible UML-based Architecture Description Language (ADL). Extensibility of the ADL allows customisation of the architectural elements' specification, enabling in particular specialization of the ADL for the quality analysis of DSoSs. In this context, we have been more specifically concentrating on providing support for the quality analysis of DSoSs at design time, while not requiring extensive knowledge of formal modelling techniques (e.g., process algebra, Markov chains, Petri nets, queuing nets) from developers. The ADL has been customized so as to allow: (i) quantitative analysis of the DSoSs quality from the standpoint of reliability and performance, and (ii) qualitative analysis of the DSoSs quality based on model checking. • Thorough study of fault tolerant mechanisms based on forward error recovery for the development of DSoSs. The focus has in particular been on dealing with large complex DSoSs that may evolve. Results in this context relate to: (i) handling on-line upgrades of component systems at the level of LIFs, (ii) tolerating architectural mismatch at runtime, and (iii) supporting the development of dependable composite Web services. • Provision of a wrapping technology for improving the robustness of a middleware-based SoSs. This work has further led to the design and implementation of a fault tolerant middleware platform, which is based on reflective architectural concepts and allows for the transparent integration of wrappers. Related Demonstrators Results in the above areas are presented in Project Deliverables IC2, PCE1, CSDA2, and DSC4 and in this report. In particular, Deliverables CSDA2 and DSC4 discuss demonstration of prototype implementation of the resulting software systems. Three major demonstrators have been developed in the context of the DSoS workpackage on architecture and design. These demonstrators integrate prototype implementation of the software systems that are respectively related to results in the areas of development environment, dependability mechanisms based on forward error recovery, and wrapping technology. Architecture-based development environment: The demonstrator of the architecture-based development environment …
TacTower: Designing Physical Co-Located Multiplayer Interaction

from the multiplayer interaction in sports, we describe our project TacTower; a fl exible system for professional elite handball players to train game perception and kinesthetic em- pathy. The design is founded in ideas of Collective Interaction and qualities that is inherent in sport and is based on consid- erations about paralanguage, kinesthetic emphatic interaction, physical positioning of players and collaborative interaction. Keywordsinteraction, kinesthetic empathetic interaction, co- located, face to face, sportyfi ed interaction, project work. Introduction multiplayer interaction in a sports context we found a potential for improving multiplayer interaction, espe- cially in an interactive sports appliance. Having the parameters that constitute interaction sport in mind: physical, social, vi- sual, verbal, and mental contact, we examined some examples of existing interactive sports equipment. We found that they do not fully embrace the physicality and co-located collaboration that is so characteristic of sport interaction. In this paper we present a design solution TacTower, a new appliance for train- ing kinesthetic empathic ability. The kinesthetic empathic abil- ity is in short the ability to read body movement. This ability is founded in bodyawareness, empathy in interaction, freedom in movements, and micro-tactics (3). In our design we seek to employ physical abilities by incorporating a tangible user in- terface (7).
Wild boars from Sweden, Austria, the Czech Republic and Japan possess intact mannose‐binding lectin 2 (MBL2) genes

The two‐nucleotide deletion recently detected in the mannose‐binding lectin 2 gene in purebred and crossbred domestic pigs was not found among 68 wild boars representing 4 populations from Europe and Asia. This suggests that the deletion is a result of breeding and/or genetic drift/bottle necks.
Efficient and Secure Authentication Protocol for VANET

VANET is very important for improving traffic safety and efficiency. So the messages in VANET must be trustworthy and disseminated very fast. In this paper, an efficient and secure scheme is proposed for VANET messages authentication, group signature is used for the messages from private vehicles and identity-based signature for public vehicles and RSU, further more, it employs batch message-processing techniques to accelerate the verification. Quantitative comparison determination is explored for handling conflicting information. Extensive simulation is conducted to confirm the efficiency of the scheme in various application scenarios. The results show that the scheme is better than other similar programs.
Psychological morbidity and return to work after injury: multicentre cohort study.

BACKGROUND The benefits of work for physical, psychological, and financial wellbeing are well documented. Return to work (RTW) after unintentional injury is often delayed, and psychological morbidity may contribute to this delay. The impact of psychological morbidity on RTW after a wide range of unintentional injuries in the UK has not been adequately quantified. AIM To quantify the role of psychological factors, including anxiety, depression, and post-traumatic distress, on RTW following unintentional injuries. DESIGN AND SETTING A longitudinal multicentre prospective study was undertaken in Nottingham, Bristol, Leicester, and Guildford, UK. METHOD Participants (n = 273) were 16-69-year-olds admitted to hospital following unintentional injury, who were in paid employment prior to injury. They were surveyed at baseline, then at 1, 2, 4, and 12 months following injury; demographic data were collected along with injury characteristics, psychological morbidity, and RTW status. Associations between demographic, injury and psychological factors, and RTW between 2 and 12 months after injury were quantified using random effects logistic regression. RESULTS The odds of RTW between 2 and 12 months after injury reduced as depression scores early in the recovery period (1 month after injury) increased (odds ratio [OR] 0.87, 95% confidence interval [CI] = 0.79 to 0.95) and as length of hospital stay increased (OR 0.91, 95% CI] = 0.86 to 0.96). For those experiencing threatening life events following injury (OR 0.27, 95% CI = 0.10 to 0.72) and with higher scores on the Crisis Support Scale (OR 0.93, 95% CI] = 0.88 to 0.99), the odds of RTW between 2 and 12 months after injury were lower. Multiple imputation analysis found similar results, but those relating to crisis support did not remain statistically significant. CONCLUSION Primary care professionals can identify patients at risk of delayed RTW who may benefit from management of psychological morbidity and support to RTW.
Real-Time Lane Detection and Rear-End Collision Warning System on a Mobile Computing Platform

Accident prevention systems have recently been a part of many modern cars to reduce injuries and casualties on the road. However, the high cost of components and equipment have limited such safety systems to higher-end and luxury vehicles. This paper proposes an economical method of using a smartphone application for real-time lane detection and rearend collision warning system for drivers on the road. The Android-based application uses image-processing algorithms coupled with the monoscopic camera on the smartphone as the main sensor to perform lane and vehicle detections. The novelty of this work lies in the use of the monocular vision of the camera to estimate the distance with the vehicle up ahead. The system is able to distinguish unintentional lane departure and if the driver is traveling too close to the vehicle ahead. An acoustic warning will notify the driver of a potential accident.
Stabilized Feed-back Amplifiers

This paper describes and explains the theory of the feed-back principle and demonstrates how stability of amplification reduction of modulation products, and certain other advantages follow when stabilized feedback is applied to an amplifier. The underlying principle of design by means of which "singing" is avoided also is set forth. The paper concludes with some examples of results obtained on amplifiers which have been built employing this new principle.
Information Capacity of Mobile Communication Systems with MMSE DFE and OFDM Receivers

This paper Presents information channel capacity as a fundamental measure of estimating the quality of digital communication channel which is possible with vanishingly small probability of bit error. This work presents that the capacity of a stationary channel with intersymbol interference (ISI) is achievable by both the techniques:1) single carrier modulation with ideal MMSE-DFE receiver and 2)multicarrier modulation over narrow subchannels with OFDM receivers. This result implies that both techniques single carrier or multicarrier, apart from different implementations, are essentially identical when it comes to criterion of achievable channel information capacity.
Less-than-best-effort services: pricing and scheduling

In recent years, the notion of a service offering a degraded performance with respect to the best-effort service traditionally found in IP networks has gained acceptance among network researchers. Such a less-than-best-effort (LBE) service may he considered as another way of providing a differentiated quality of service, following A. Odlyzko's "damaged goods for the Internet" approach. In this paper we are interested in evaluating, from a pricing perspective, the implications of the two scheduling models commonly proposed for building a LBE service-namely, priority queueing and generalized processor sharing (GPS). In particular, we focus on the network operator's issue of maximizing her revenue. We wish to study, for each scheduler, how to set prices and, especially, the impact that a given queueing model may have on revenues when users are mostly sensitive to delay. Drawing on previous work by Mandjes (2003), we present analytical expressions of the revenue earned by the network operator, when a GPS scheduler is used. A comparison of optimal revenues shows that: (a) Priority Queueing is more efficient, in economic terms, than both a GPS scheduler and a simple FIFO queue, that is, a network with no service differentiation; (b) revenues are lower with a GPS scheduler than with a FIFO queue. These results may have implications both on the practical implementation of LBE services and on the Paris Metro Pricing proposal by Odlyzko (1999).
A Meta-Theory of Boundary Detection Benchmarks

Human labeled datasets, along with their corresponding evaluation algorithms, play an important role in boundary detection. We here present a psychophysical experiment that addresses the reliability of such benchmarks. To find better remedies to evaluate the performance of any boundary detection algorithm, we propose a computational framework to remove inappropriate human labels and estimate the instrinsic properties of boundaries.
Minimum bit-error rate design for space-time equalization-based multiuser detection

A novel minimum bit-error rate (MBER) space-time-equalization (STE)-based multiuser detector (MUD) is proposed for multiple-receive-antenna-assisted space-division multiple-access systems. It is shown that the MBER-STE-aided MUD significantly outperforms the standard minimum mean-square error design in terms of the achievable bit-error rate (BER). Adaptive implementations of the MBER STE are considered, and both the block-data-based and sample-by-sample adaptive MBER algorithms are proposed. The latter, referred to as the least BER (LBER) algorithm, is compared with the most popular adaptive algorithm,known as the least mean square (LMS) algorithm. It is shown that in case of binary phase-shift keying, the computational complexity of the LBER-STE is about half of that required by the classic LMS-STE. Simulation results demonstrate that the LBER algorithm performs consistently better than the classic LM Salgorithm, both in terms of its convergence speed and steady-state BER performance.
PHEVs centralized/decentralized charging control mechanisms: Requirements and impacts

This paper investigates the main features of the PHEV centralized and decentralized charging control mechanisms, their requirements and also impacts on distribution system performance. A home-based charging control scenario as well as a coordinated charging control algorithm for the charging management of PHEVs is devised in this paper. Both the owner preferences and system operator concerns are taken into consideration in an optimization-based framework. The total network losses and charging costs are set as the constraints to the proposed optimization approach. Various aspects of the two mechanisms are discussed and comprehensively compared by their application on the IEEE 34-bus test system. The obtained results and discussions offered demonstrate the efficiency and applicability of the proposed approach in real world.
Locally-Optimized Inter-Subject Alignment of Functional Cortical Regions

Inter-subject registration of cortical areas is necessary in functional imaging (fMRI) studies for making inferences about equivalent brain function across a population. However, many high-level visual brain areas are defined as peaks of functional contrasts whose cortical position is highly variable. As such, most alignment methods fail to accurately map functional regions of interest (ROIs) across participants. To address this problem, we propose a locally optimized registration method that directly predicts the location of a seed ROI on a separate target cortical sheet by maximizing the functional correlation between their time courses, while simultaneously allowing for non-smooth local deformations in region topology. Our method outperforms the two most commonly used alternatives (anatomical landmark-based AFNI alignment and cortical convexity-based FreeSurfer alignment) in overlap between predicted region and functionally-defined LOC. Furthermore, the maps obtained using our method are more consistent across subjects than both baseline measures. Critically, our method represents an important step forward towards predicting brain regions without explicit localizer scans and deciphering the poorly understood relationship between the location of functional regions, their anatomical extent, and the consistency of computations those regions perform across people.
Knowledge representation and tool support for critiquing clinical trial protocols

The increasing complexities of clinical trials have led to increasing costs for investigators and organizations that author and administer those trials. The process of authoring a clinical trial protocol, the document that specifies the details of the study, is usually a manual task, and thus authors may introduce subtle errors in medical and procedural content. We have created a protocol inspection and critiquing tool (PICASSO) that evaluates the procedural aspects of a clinical trial protocol. To implement this tool, we developed a knowledge base for clinical trials that contains knowledge of the medical domain (diseases, drugs, lab tests, etc.) and of specific requirements for clinical trial protocols (eligibility criteria, patient treatments, and monitoring activities). We also developed a set of constraints, expressed in a formal language, that describe appropriate practices for authoring clinical trials. If a clinical trial designed with PICASSO violates any of these constraints, PICASSO generates a message to the user and a list of inconsistencies for each violated constraint. To test our methodology, we encoded portions of a hypothetical protocol and implemented designs consistent and inconsistent with known clinical trial practice. Our hope is that this methodology will be useful for standardizing new protocols and improving their quality.
MobiDSL-a Domain Specific Language for Mobile Web Applications : developing applications for mobile platform without web programming

The enormous potential of mobile web as an information appliance presents all organizations an urgent need and a compelling reason to not only create mobile specific versions of certain parts of their current systems, but also develop new mobile web applications to derive maximum benefit from this medium. However, as mobile web applications are generally being built using the same web engineering methodologies and tools which are used for building desktop web applications, organizations around the world require significant resources, making it difficult for many to quickly build these applications. In this paper, we describe our aim to mitigate this problem by using a Domain Specific Modeling (DSM) based approach. We explain MobiDSL a Domain Specific Language (DSL) for modeling Mobile Web Applications and show how it can enable system designers and analysts to easily define an application's specification at a very high level of abstraction without any web programming. We also explain how a Virtual Machine (VM) is used to execute MobiDSL models, which helps to radically simplify the testing, deployment and life cycle management of such mobile web applications.
A Sys Called Qanda

Our question answering system was built with a number of priorities in mind. First, we wanted to experiment with natural language processing (NLP) technologies such as shallow parsing, named entity tagging, and coreference chaining. We felt that the small number of terms in the questions coupled with the short length of the answers would make NLP technologies clearly beneficial, unlike previous experiments with NLP technologies on traditional IR tasks. At a more practical level, we were familiar with and interested in such technologies and thus their use would be relatively straightforward and enjoyable. Second, we wanted to use information retrieval (IR) techniques in hopes of achieving robustness and efficiency. It seemed obvious that many answers would appear in documents and passages laden with terms from the question. Finally, we wanted to experiment with different modules from different sites with differing input and output representation and implementational details. Thus, we needed a multi-process system with a flexible data format.
Optimization of Heterogeneous Databases Data Synchronization in WAN by Virtual Log Compression

Data synchronization based on virtual log is now widely used, while huge log records will affect the efficiency of data synchronization, especially when the master side has frequent changes in same record. Virtual log compression will calculate and merge log records, and only those records related with data synchronization will be left and therefore reducing network traffic and improve the efficiency of data synchronization. Virtual log compression is particularly suitable for heterogeneous database and asynchronous data synchronization in WAN, and has a high prospect.