Miracle-dz/UniFAR-FTUs huggingface dataset:
BioRob-Arm: A Quickly Deployable and Intrinsically Safe, Light- Weight Robot Arm for Service Robotics Applications

Using conventional rigid industrial manipulators for service robotics applications typically demands huge efforts for safety measurements resulting in high installation and operation costs. We present how the BioRob robot arm is based on a combination of compliant actuation and lightweight mechanical design to obtain the flexibility, mobility and, most important, the inherent safety properties needed to implement effective and safe service robotics applications. We discuss the sensors and control structure used to damp the oscillations caused by the significant joint compliance of the arm and to obtain the accuracy needed for the intended applications. The concluding example of a typical pick and place application with teaching by manual guidance illustrates the benefits of the BioRob design for service robotics applications.
A New Protocol for Minimizing Jitter for Guaranteed QoS in Network Multimedia Communication

Multimedia data are sensed by human[6]. These types of data are delay intolerable but error tolerable to some extend. Two important parameters that degrade the quality of service (QoS) of multimedia services are Skew and Jitter. In a previous work of us we described a technique which successfully removes skew. Different researchers proposed different techniques for removing jitter. Accelerating and De accelerating technique, Buffer size estimation technique[5] and Clock synchronization between sender and receiver are some suitable techniques. But all of the techniques have some advantages and disadvantages. We described the advantages and disadvantages of each of the techniques in a previous work of us. In our current work we have proposed a new protocol and a technique which will minimize jitter in network multimedia communication.
Microevolution of Canine Influenza Virus in Shelters and Its Molecular Epidemiology in the United States

ABSTRACT Canine influenza virus (CIV) emerged around 2000 when an equine influenza virus (EIV) was transmitted to dogs in Florida. After 2003, the canine virus was carried by infected greyhounds to various parts of the United States and then became established in several large animal shelters, where it has continued to circulate. To better understand the evolution of CIV since its emergence, and particularly its microevolution in spatially restricted populations, we examined multiple gene segments of CIV from dogs resident in two large animal shelters in New York City during the period 2006 to 2009. In particular, we focused on viruses circulating in the two shelters in 2008 and 2009, which we found shared a common ancestor. While viruses in each shelter were generally monophyletic, we observed some gene flow between them. These shelter sequences were compared to earlier CIV isolates. The shelter viruses differed in 1 to 6 amino acids in each gene segment compared to viruses isolated in Florida between 2003 and 2005 and in Colorado in 2006 and 2008. A comparison of the sequences of equine and canine viruses revealed amino acid replacements that distinguished the viruses from the two hosts, but no clear evidence of positive selection indicative of host adaptation was detected, suggesting that any host range adaptation in CIV occurred early in the emergence of this virus or even before it transferred to dogs.
Motor and Sensory Dysfunction in Musician’s Dystonia

Musicians' dystonia is a task-specific and painless loss of motor control in a previously well-executed task. It is increasingly recognized in the medical and musical community. Recent advances in neuroimaging, transcranial magnetic stimulation and novel techniques in electroencephalography have shed light on its underlying pathophysiology. To date, a deranged cortical plasticity leading to abnormal sensorimotor integration, combined with reduced inhibition across several levels of the motor pathway are likely mechanisms.This paper reviews the various phenomenology of musician's dystonia across keyboard, string, brass, flute and drum players. Treatment is often challenging. Medical therapies like botulinum toxin injection and rehabilitation method with sensorimotor training offer symptomatic relief and return to baseline performance to some musicians.
Towards Vagueness-Aware Semantic Data

The emergence in recent years of initiatives like the Linked Open Data (LOD) has led to a significant increase in the amount of structured semantic data on the Web. In this paper we argue that the shareability and wider reuse of such data can very often be hampered by the existence of vagueness within it, as this makes the data's meaning less explicit. Moreover, as a way to reduce this problem, we propose a vagueness metaontology that may represent in an explicit way the nature and characteristics of vague elements within semantic data.
An efficient test for product states

We give a test that can distinguish efficiently between product states of n quantum systems and states which are far from product. If applied to a state |ψ〉 whose maximum overlap with a product state is 1− , the test passes with probability 1−Θ( ), regardless of n or the local dimensions of the individual systems. The test uses two copies of |ψ〉. We prove correctness of this test as a special case of a more general result regarding stability of maximum output purity of the depolarising channel. One application of the test is to Quantum Merlin-Arthur games, where we show that a witness from two unentangled provers can simulate a witness from arbitrarily many unentangled provers, up to a constant loss of soundness. Our test can also be used to construct an efficient test for determining whether a unitary operator is a tensor product.
Unmixing of hyperpectral image using nonlinear parametric model

Hyperspectral image contains hundreds of bands so it is spectrally overloaded and contains extent information to differentiate spectrally unique material. Hyperspectral data generally used to identify the presence of material in scene. Almost all the hyperspectral cameras have spatial resolution limit (>5m per pixel) due to that each pixel can be a mixture of several materials. The process of unmixing is to unmixone of these mixed pixels. There are two models available to approximate mixing, (i) Linear Mixing Model (LMM) (ii) Nonlinear Mixing Model (NMM). Over a time, various approaches have been devised to address LMM and it's unmixing. In LMM, macrospectral mixtures are assumed. Nonlinear model comes under consideration due to microscopic mixing scale. In this paper, Generalized bilinear model is used which is nonlinear parametric model to get mixed data. Its accuracy depends on parametric form and parameter value chosen. It comes under convex optimization problem, so it can be solved using any optimization technique. Gradient descent algorithm (GDA) is employed to solve this optimization problem. Advantage of GDA over other unmixing techniques is that it transforms nonlinear model into linear one. To improve unmixing result, it is indeed advisable to consider spatial correlation among abundances. A novel approach has been introduced in this paper which considers 2nd order neighborhood correlation between abundances. Using our approach one can achieve better segmentation.
An Improved Watershed Algorithm for Color Image Segmentation

An adaptive marker extraction-based watershed algorithm is proposed to overcome the over-segmentation problem. By combining local minima depth and water basin scale information, markers are adaptively extracted for local minima, and the threshold for marker-extraction is automatically calculated according to the statistics of local extreme points in the gradient map. These markers are imposed on the original gradient map as its local minima. The watershed algorithm is applied on the modified gradient map to segment the image. Simulation results show that the proposed method can efficiently reduce over-segmentation with scarcely computational complexity increase. It has better anti-noise performance and edge-location capability as well.
Comparison of control strategies performance for a Wave Energy Converter

The Archimedes wave swing (AWS) is a a fully- submerged wave energy converter (WEC), that is to say, a device that converts the kinetic energy of sea waves into electricity. A first prototype of the AWS has already been built and tested. This paper presents simulation results of the performance of several control strategies applied to this device, including PID control, reactive control, phase and amplitude control, latching control, feedback linearisation control, internal model control, switching control, and combinations thereof. Linear, white-box nonlinear, and neural network models were employed. Significant (above threefold) increases in yearly energy production were found to be possible with properly designed control strategies.
A non-radioactive assay for the detection and quantitation of a DNA binding protein.

We have developed an alternative method for the assay of DNA binding activity of a known DNA binding protein. In contrast to standard gel retardation assays, this method is non-radioactive, quantitative and yields results within hours of commencement of the assay. Using an enzyme-linked immunosorbent assay (ELISA), the DNA binding activity of protein preparations can be easily compared. While this assay has been developed for the measurement of active human papilloma virus type 16 (HPV 16) E2 protein, it could be easily adapted for application to any known DNA binding protein for which antibodies are available. The DNA binding sequence of HPV 16 E2 has been previously reported as being 5'-ACCGNNNNCGGT-3' (1) and single nucleotide changes at two positions to 5'-ACCANNNNTGGT-3' reduce the ability of the protein to bind to DNA significantly. Both forward and reverse oligonucleotides of the sequences 5'-ACCGAAATCGGTTGAACCGAAACCGGT-3' and 5'-ACCACCGCTGGTTGAACCACCGCTGGT-3' were synthesised with sticky ends using conventional methodology. Oligonucleotides were annealed by cooling from 95°C and ligated by incubation with T4 ligase overnight at 15°C. Following phenol extraction and ethanol precipitation, oligonucleotides were biotinylated using photoprobe (Vector Laboratories) according to the manufacturer's instructions. For a control in the assay, an unrelated oligonucleotide 5 '-ATATAATAATACTAAACTACAATAATTC-3' was also biotinylated. Ligated oligonucleotides were resuspended at a concentration of lmg/ml and stored at — 20°C until required.
Measurements of CD56+ cells in peripheral blood and endometrium by flow cytometry and immunohistochemical staining in situ.

BACKGROUND CD56+ cells in peripheral blood or the endometrium may be increased in women with reproductive failure. However, the relationship between numbers of peripheral blood CD56+ and endometrial CD56+ cells is uncertain. The aim of this study was (i) to compare the numbers of CD56+ cells in peripheral blood and endometrium in samples taken simultaneously and (ii) to compare measurements by flow cytometry and immunohistochemistry of CD56+ cells in the same endometrial biopsy. METHOD Endometrial biopsies and blood were obtained from women with recurrent miscarriage (n= 25) on days LH+7-LH+9 of the cycle. The total number of CD56+, CD56+ CD16- and CD56+CD16+ cells in blood was measured by flow cytometry; the number of CD56+ cells in the endometrium was determined by immunohistochemistry. Endometrial samples were also obtained from fertile women (n= 20) and used to measure CD56+ and CD45+ cells, by both flow cytometry and immunostaining. RESULTS There was no correlation between the numbers of total CD56+, CD56+CD16- or CD56+CD16+ in peripheral blood and the number of endometrial CD56+ cells in the same women. In endometrium from fertile women, a significant correlation was found between the numbers of CD56+ cells measured by flow cytometry and immunohistochemistry (correlation= 0.497, P= 0.026, when expressed as % total cells; correlation= 0.570, P= 0.009 when expressed as % CD45+ cells). CONCLUSIONS Measurements of CD56+ cells in peripheral blood do not correlate with endometrial CD56+ cell numbers and therefore should not be extrapolated to events in the endometrium. In contrast, measurements of endometrial CD56+ cells by flow cytometry and immunostaining correlate well.
Map-Aided Integrity Monitoring of a Land Vehicle Navigation System

The concept of user-level integrity monitoring has been successfully applied to air transport navigation systems, where the main focus is on the errors associated with the Global Positioning System (GPS)-data-processing chain. Little research effort has been devoted to the study of integrity monitoring for the case of land vehicle navigation systems. The primary difference is that it is also necessary to consider errors associated with a spatial map and a map-matching (MM) process when monitoring the integrity of a land vehicle navigation system. This is because these two components play a vital role in land vehicle navigation. To date, research has focused on either the integrity of raw positioning data obtained from GPS or the integrity of the MM process and digital map errors. In this paper, these sources of error are simultaneously considered. Therefore, the main contribution of this paper is to report the development of a user-level integrity-monitoring system that concurrently takes into account all the potential error sources associated with a navigation system and considers the operational environment to further improve performance. Errors associated with a spatial road map are given special attention. Two knowledge-based fuzzy inference systems were developed to measure the integrity scale. The performance of the integrity method was assessed using field data collected in Nottingham and London, U.K. The results indicate that the integrity method provides valid warnings 98.2% and 99.4% of the time for positioning data in a mixed operational environment in Nottingham and suburban areas of London, respectively.
Building interactive animations using VRML and Java

The paper exploits the combination of VRML (Virtual Reality Modeling Language) and Java for the construction of highly interactive animations, whose behaviour is defined in real time by a user's actions. The animations are modeled in VRML, which allows the definition of a Java program to process and generate events that determine the behaviour of scene elements. An application for the generation of Java graphical interfaces was developed, aiming to establish the communication between the user and the VRML environment, sending parameters to the program that controls the animation.
USING THE TASK TECHNOLOGY FIT MODEL AS A DIAGNOSTIC TOOL FOR ELECTRONIC MEDICAL RECORDS SYSTEMS EVALUATION

Electronic Medical Records (EMR) systems offer health care organizations numerous potential benefits. However, it can be difficult to ascertain whether users are satisfied with such systems, and if not, where concerns exist. Organizations wishing to evaluate a health care system implementation like an EMR system can choose from a variety of approaches that have been developed in the Information Systems (IS) discipline. After evaluating a number of alternatives, the researchers selected the Task Technology Fit (TTF) model and its associated instrument as a diagnostic tool to evaluate the implementation of the first phase of an EMR at a university hospital. A survey was administered and an analysis of the data found that the EMR system users, both physicians and nurses, were generally very pleased with the EMR implementation, and, therefore, it could be deemed a success. Based upon this study the TTF model and its associated instrument appears to be a useful diagnostic tool for evaluating a health care information systems implementation.
Secure Health Monitoring in the Cloud Using Homomorphic Encryption: A Branching-Program Formulation

Extending cloud computing to medical software, where the hospitals rent the software from the provider sounds like a natural evolution for cloud computing. One problem with cloud computing, though, is ensuring the medical data privacy in applications such as long term health monitoring. Previously proposed solutions based on Fully Homomorphic Encryption (FHE) completely eliminate privacy concerns, but are extremely slow to be practical. Our key proposition in this paper is a new approach to applying FHE into the data that is stored in the cloud. Instead of using the existing circuit-based programming models, we propose a solution based on Branching Programs. While this restricts the type of data elements that FHE can be applied to, it achieves dramatic speed-up as compared to traditional circuit-based methods. Our claims are proven with simulations applied to real ECG data.
The Optimal Timing of School Tracking: a General Model with a Calibration for Germany

Most primary and secondary school systems in the developed world consist of an initial period of exposure to the same curriculum followed by diversification of curricula into separate tracks. In Europe, there are vocational and general or academic tracks, with allocation into tracks often based on previous performance and / or on ability tests (see Shavit and 5. Tracking starts relatively early, after primary school, in Germany and the Netherlands and later on in France. In the US, secondary schools are comprehensive but it is common practice to separate students into different courses or course sequences (tracks) based on their level of achievement or proficiency as measured by some set of tests or course grades (see Gamoran, 1987 and Epple, Newlon and Romano, 2002). In Japan, stratification starts at the post-compulsory stage in upper secondary education, with elite schools at the top and vocational schools at the bottom of the hierarchy (see Ishida, 1998). In this chapter, we develop a simple model which determines the optimal timing of school tracking as the outcome 3 of the trade off between the advantages of specialization, which call for early tracking, and the costs of early selection, which call instead for later tracking. The optimal tracking time is the time which maximizes total output net of schooling costs. We calibrate the model for Germany and study how relative demand shifts toward more general skills and changes in the (exogenous) rate of technical progress affect the optimal tracking time as well as the allocation of students to schools. Our simulations show that these exogenous changes increase the relative share of graduates from general schools, in line with the existing evidence on academic drift in German secondary schools, and induce an anticipation of the tracking time by close to 23 percentage points with respect to the baseline value, in sharp contrast with the observed delay taking place in German schools since 1970. We interpret the contrast between simulations and reality as evidence that actual policies have deviated from efficiency considerations, perhaps because of distributional concerns. While our chapter focuses on efficiency, it has also implications for the relationship between schools and equal 4 opportunity. It is often the case that students are sorted into different school tracks on the basis of their measured ability, which depends both on natural talent and on parental background. If individuals with a more privileged family background have higher opportunities …
Gate Delay Test Generation for Industrial Circuits considering Embedded Cores

A gate delay test generator for circuits with three-state elements and standard scan-design is presented. The pattern generator combines a well proven stuck-at test pattern generator and a gate delay fault simulator that is used to evaluate the quality of the generated gate delay tests. Experimental results show how the reduced controllabilit y of primary inputs of embedded cores effects the delay test coverage.
STAT6-mediated BCL6 repression in primary mediastinal B-cell lymphoma (PMBL)

Primary mediastinal B-cell lymphoma (PMBL) is characterized by aberrant activation of JAK/STAT-signaling resulting in constitutive presence of phosphorylated STAT6 (pSTAT6). In primary PMBL samples pSTAT6 is only expressed in a sub-population of lymphoma cells in a pattern that is reminiscent of that of the BCL6 oncogene. Double-fluorescence staining was carried out to determine the association between these two proteins in ten primary PMBL cases and three available PMBL cell line models. Surprisingly, only a minute fraction of double-positive nuclei was observed, while each sample contained considerable fractions of single-positive pSTAT6 and BCL6 nuclei. The intratumoral coexistence of BCL6+/pSTAT6− and BCL6−/pSTAT6+ subpopulations suggests a negative interaction between these factors. In silico screening of the STAT6 /BCL6 promoters for DNA consensus binding sites identified five STAT-binding-sites in the BCL6 promoter. We confirmed STAT6 binding to the BCL6 promoter in vitro and in vivo by band shift / super shift assays and chromatin immunoprecipitations. Using BCL6 luciferase reporter assays, depletion of STAT6 by siRNA, and ectopic overexpression of a constitutive active STAT6 mutant, we proved that pSTAT6 is sufficient to transcriptionally repress BCL6. Recently developed small molecule inhibitors 79-6 and TG101348 that increases BCL6 target gene expression and decreases pSTAT6 levels, respectively, demonstrate that a combined targeting results in additive efficacy regarding their negative effect on cell viability. The delineated pSTAT6-mediated molecular repression mechanism links JAK/STAT to BCL6-signaling in PMBL and may carry therapeutic potential.
DESIGN AND IMPLEMENTATION OF A BUSINESS PROCESS REPRESENTATION MODULE *

This paper reports on the work done in the INSPIRE project on developing the Process Representation Module (PRM hereafter). The major aim of INSPIRE is the development of a tool to support a more intelligent an human-oriented approach to business process re-engineering (BPR hereafter). Our task was to develop the PRM, which is a core module of the INSPIRE tool. The main responsibility of the PRM is to provide an all-encompassing and consistent representation of business processes ([12]). The paper contains roughly the following information: a description of the architecture and the general idea of the INSPIRE tool; some definitions of key terms related to business processes, as found in the literature; a brief description of some well-known formalisms for business process modelling and of the formalism employed in INSPIRE; architecture and data models for the PRM; details of the PRM design and implementation.
Treatment of LESIMS Depth Profiles: a Procedure for Eliminating the Roughness Effect

In this paper, we investigated the problem of the deconvolution of SIMS depth profiles analyzed at low primary energy (1keV/O+ 2), in particular in presence of roughness. This phenomenon leads to a variant depth resolution function (VDRF). To describe the DRF variations with depth, we have established a matrix slightly different from the classical Teoplitz matrix. Then by using the matrix formalism we give a generalization to the case of VDRF of an algorithm implemented initially in Fourier space. The variant deconvolution procedure is first tested on simulated profile by using this algorithm and Van-Cittert algorithm with Miller regularization; we show a great improvement of the depth resolution and we observed that our modified algorithm is far better. The algorithm is then implemented on samples containing delta-doped layers of boron in silicon. It was shown that if the adequate estimation of the VDRF is available, we can obtain the best result