Miracle-dz/UniFAR-FTUs huggingface dataset:
Patient Diagnose Perform Ultrasound Scan Patient Management Ultrasound Scanner Management Specialist Ultrasound

Wrong human-robot interactions are at the origin of severe damages. Safety requirements ask the analysis of these interactions. At first, erroneous interactions have to be identified. In this paper, we propose to use UML (Unified Modeling Language) to specify human robot interaction. Then, generic error models, associated with the message feature provided by UML, are presented. These error models allow interaction errors to be automatically deduced from the modeling of the human-robot interactions. The use of these generic error models is illustrated on a medical robot for teleechography.
A Case Study on the Organizational Adoption and Implementation of Knowledge Management System

Knowledge management (KM) and knowledge management systems (KMS) have been paid much attention by both researchers and practitioners. Yet little is known about the enabling factors in organizational KMS adoption. In this paper, we first review the technology adoption literature at individual and organizational levels to investigate the factors of adoption in a general sense. Then, we specifically synthesize the factors with respect to the adoption of KMS by organizations. An exploratory case study is conducted to help understand the mechanism of KMS adoption. Three major forces are concluded as: (1) environmental context, (2) organizational context, and (3) technology characteristics. Some lessons from the proposed KMS experiences in the case are suggested for other companies’ attempting to adopt KMS in their practice.
Behavior coordination for a mobile robot using modular reinforcement learning

Coordination of multiple behaviors independently obtained by a reinforcement learning method is one of the issues in order for the method to be scaled to larger and more complex robot learning tasks. Direct combination of all the state spaces for individual modules (subtasks) needs enormous learning time, and it causes hidden states. This paper presents a method of modular learning which coordinates multiple behaviors taking account of a trade-off between learning time and performance. First, in order to reduce the learning time the whole state space is classified into two categories based on the action values separately obtained by Q learning: the area where one of the learned behaviors is directly applicable (no more learning area), and the area where learning is necessary due to competition of multiple behaviors (re-learning area). Second, hidden states are detected by model fitting to the learned action values based on the information criterion. Finally, the initial action valves in the re-learning area are adjusted so that they can be consistent with the values in the no more learning area. The method is applied to one to one soccer playing robots. Computer simulation and real robot experiments are given, to show the validity of the proposed method.
Geographic information systems and public health: mapping the future.

This information technology review provides thoughts about current trends and future directions for geographic information systems (GIS) technology in public health and the challenges to institutionalizing this technology as a standard part of public health planning and practice by the Year 2010. Topics include: current trends; epidemiology and GIS technology; definition; advantages of GIS technology; current limitations of GIS technology; anticipated developments in the near future; and anticipated developments in 5-10 years. Two reports of GIS mapping applications also are included: "Mapping Rodent Complaints" by Neil M. Casey, Jack Smith, and C. William Keck, Akron Health Department, Ohio; and "Women with Localized Breast Cancer Selecting Mastectomy Treatment, Iowa, 1991-1996" by Gerard Rushton and Michele West, Department of Geography, University of Iowa. The review concludes that public health applications of GIS technology in 1999 are still in the early stages. Many challenges remain that will need to be addressed before the full potential of GIS technology can be realized for public health practice, planning, and research. One of the greatest challenges will be to incorporate epidemiologic principles and methods into the analysis to be mapped. Another major challenge will be to develop methods and procedures to assure the confidentiality of individuals and individual households. Geographic Information Systems and Public Health:
Continuous local histogram descriptor for diagnosis of Bronchiolitis Obliterans

Texture feature is an important feature analysis method in computer-aided diagnosis systems for disease diagnosis. However, texture feature itself could not provide an overall description of the diseases. In this paper, we propose Continuous Local Feature (CLH) to diagnose the Bronchiolitis Obliterans (BO) lung diseases in the chest computer tomography images. CLH is based on the continuous combination of histograms of local texture feature, local shape feature, and the brightness feature. Because CLH extracts more information, it has high discriminating power and is able to classify between the BO lung disease and normal lung region effectively. The experimental results in classifying between BO and normal lung region show that CLH achieves 98.15% of average sensitivity whereas Local Binary Patterns and Gray Level Run Length Matrix achieve 73% and 75.8% of average sensitivities, respectively. In the receiver operating curve analysis, CLH archives 0.9 of area under curve (AUC) whereas LBP and GLRLM achieve 0.78 and 0.86 of AUCs.
Burkholderia humptydooensis sp. nov., a New Species Related to Burkholderia thailandensis and the Fifth Member of the Burkholderia pseudomallei Complex

ABSTRACT During routine screening for Burkholderia pseudomallei from water wells in northern Australia in areas where it is endemic, Gram-negative bacteria (strains MSMB43T, MSMB121, and MSMB122) with a similar morphology and biochemical pattern to B. pseudomallei and B. thailandensis were coisolated with B. pseudomallei on Ashdown's selective agar. To determine the exact taxonomic position of these strains and to distinguish them from B. pseudomallei and B. thailandensis, they were subjected to a series of phenotypic and molecular analyses. Biochemical and fatty acid methyl ester analysis was unable to distinguish B. humptydooensis sp. nov. from closely related species. With matrix-assisted laser desorption ionization–time of flight analysis, all isolates grouped together in a cluster separate from other Burkholderia spp. 16S rRNA and recA sequence analyses demonstrated phylogenetic placement for B. humptydooensis sp. nov. in a novel clade within the B. pseudomallei group. Multilocus sequence typing (MLST) analysis of the three isolates in comparison with MLST data from 3,340 B. pseudomallei strains and related taxa revealed a new sequence type (ST318). Genome-to-genome distance calculations and the average nucleotide identity of all isolates to both B. thailandensis and B. pseudomallei, based on whole-genome sequences, also confirmed B. humptydooensis sp. nov. as a novel Burkholderia species within the B. pseudomallei complex. Molecular analyses clearly demonstrated that strains MSMB43T, MSMB121, and MSMB122 belong to a novel Burkholderia species for which the name Burkholderia humptydooensis sp. nov. is proposed, with the type strain MSMB43T (American Type Culture Collection BAA-2767; Belgian Co-ordinated Collections of Microorganisms LMG 29471; DDBJ accession numbers CP013380 to CP013382 ). IMPORTANCE Burkholderia pseudomallei is a soil-dwelling bacterium and the causative agent of melioidosis. The genus Burkholderia consists of a diverse group of species, with the closest relatives of B. pseudomallei referred to as the B. pseudomallei complex. A proposed novel species, B. humptydooensis sp. nov., was isolated from a bore water sample from the Northern Territory in Australia. B. humptydooensis sp. nov. is phylogenetically distinct from B. pseudomallei and other members of the B. pseudomallei complex, making it the fifth member of this important group of bacteria.
Reconstructing Point Clouds of Mid-size Objects

This project explores the use of an inexpensive 3D camera for the acquisition and reconstruction of mid-size objects. The disparity of objects between stereo image pairs are used to calculate depth and generate a depth map. The depth map is used to generate a point cloud representation of the object from a single view. Finally, point clouds are generated from several views of an object and then aligned and merged into a seamless 360-degree point cloud.
KELT-4Ab: AN INFLATED HOT JUPITER TRANSITING THE BRIGHT (V ∼ 10) COMPONENT OF A HIERARCHICAL TRIPLE

We report the discovery of KELT-4Ab, an inflated, transiting Hot Jupiter orbiting the brightest component of a hierarchical triple stellar system. The host star is an F star with T eff ? > = 6206 ± 75 ? > K, log g ? > = 4.108 ± 0.014 ? > , [ Fe / H ] ? > = - 0.116 - 0.069 + 0.065 ? > , M * ? > = 1.201 - 0.061 + 0.067 ? > M ⊙ ? > , and R * ? > = 1.603 - 0.038 + 0.039 ? > R ⊙ ? > . The best-fit linear ephemeris is BJD TDB ? > = 2456193.29157 ± 0.00021 ? > + E ( 2.9895936 ± 0.0000048 ) ? > . With a magnitude of V ∼ 10, a planetary radius of 1.699 - 0.045 + 0.046 ? > R J ? > , and a mass of 0.902 - 0.059 + 0.060 ? > M J ? > , it is the brightest host among the population of inflated Hot Jupiters (RP > 1.5RJ), making it a valuable discovery for probing the nature of inflated planets. In addition, its existence within a hierarchical triple and its proximity to Earth (210 pc) provide a unique opportunity for dynamical studies with continued monitoring with high resolution imaging and precision radial velocities. The projected separation between KELT-4A and KELT-4BC is 328 ± 16 AU and the projected separation between KELT-4B and KELT-4C is 10.30 ± 0.74 AU. Assuming face-on, circular orbits, their respective periods would be 3780 ± 290 and 29.4 ± 3.6 years and the astrometric motions relative to the epoch in this work of both the binary stars around each other and of the binary around the primary star would be detectable now and may provide meaningful constraints on the dynamics of the system.
Irradiated Herbig-Haro Jets in the Orion Nebula and near NGC 1333

We report the discovery of a dozen Herbig-Haro jets illuminated by the Lyman continuum (λ < 912 Å) and/or softer far-ultraviolet (912 < λ < 2000 Å) radiation fields of nearby high-mass stars. Five irradiated outflows lie in the outer parts of the Orion Nebula (HH 502-506), and seven lie near the reflection nebula NGC 1333 in the Perseus molecular cloud (HH 333-336 and HH 497-499). These stellar outflows are powered by optically visible low-mass young stars that suffer relatively low extinction and seem not to be embedded within opaque cloud cores. We propose that the UV radiation field has eroded residual material left over from their formation on a timescale short compared to the ages of these star-forming regions. Many of the irradiated jets exhibit unusual C-shaped symmetry. In the outskirts of the Orion Nebula, most irradiated jets appear to bend away from the core of the nebula. On the other hand, in NGC 1333, the C-shaped jets tend to bend back toward the cluster center. Jet bending in the Orion Nebula may be dominated by either the outflow of material from the nebular core or by the rocket effect pushing on the irradiated portion of a mostly neutral jet beam. But in NGC 1333, jet bending may indicate that the source stars have been ejected from the cluster core. Many irradiated jets are asymmetric with one beam much brighter than the other. When fully photoionized, irradiated jets may provide unique insights into the physical conditions within outflows powered by young stars, permitting the determination of the density and location of stellar ejecta even in the absence of shocks. We present a model for the photoionization of these outflows by external radiation fields and discuss possible mechanisms for producing the observed asymmetries. In particular, we demonstrate that the UV radiation field may alter the amount of cloud material entrained by the jet. Radiation-induced variations in mass loading and beam heating can produce differences in the beam velocities and spreading rates, which in turn determine the surface brightness of the radiating plasma. In a bipolar irradiated jet in which both beams have the same mass-loss rate and opening angle, the slower beam will appear brighter at a given distance from the source. On the other hand, if both beams spread orthogonal to the jet propagation direction with the same speed (e.g., both beams have the same internal sound speed or shocks with similar physical conditions), the faster beam will appear brighter at the same distance from the source. Thus, depending on the parameters, either the faster or slower beam of a jet can be brighter. Finally, we report the discovery of some large-scale bow shocks that face the core of the Orion Nebula and surround visible young stars. These wind-wind collision fronts provide further evidence for a large-scale mass flow originating near the nebular core.
A Wide-band noise-cancelling CMOS LNA based on Current Conveyors

In this paper, a Wide-band CMOS low-noise amplifier (LNA) based on Current Conveyors (CC) is presented, in which the thermal noise of the input MOSFET is cancelled by exploiting a noise-cancelling technique. This new LNA offers the following notable advantages over existing topologies: wideband performance, with a stable frequency response from 0 to 6.2GHz and wideband input matched impedance with a total absence of passive elements; a low Noise Figure (NF) and high linearity. Comparisons with other topologies prove the effectiveness of the new implementation.
Yet another but an incremental reversible data hiding- for an irreversible data safety

In this study a reversible multilevel data hiding algorithms using histogram has been proposed. Here multilevel hiding is used to improve hiding capacity and reduce the distortion. Using the property of reversibility the proposed method can recover the embedded message without distorting the original media. By evaluating joint imperceptibility and hiding capacity, three different approaches was carried out and compared. Security analysis was done through PSNR and embedding capacity. The algorithms were tested for 5 different images of size 256×256 and 512×512. The proposed method was compared with other existing reversible multilevel hiding schemes and the results were found to be better.
Resilient against report fabrication attack in clusters of heterogeneous sensor networks

A major threat in wireless sensor network is report fabrication attack. The existing approaches in which each forwarding sensor along a path probabilistically filters out injected false data may not be adequate because such protection may break down when more than a threshold number of nodes are compromised. As an alternative, we present a sink filtering scheme in clusters of heterogeneous sensor networks to solve the threshold breakdown problem. Besides basic sensors, we add some powerful data gathering sensors, termed as cluster heads (CHs). To be accepted by the sink, each aggregation report generated by a CH must carry multiple keyed message authentication codes (MACs); each MAC is generated by a basic sensor that senses the event. We analyze the resilience and overhead of the sink filtering scheme. Both analytical and simulation results show that the scheme is resilient to an increasing number of compromised nodes, with graceful performance degradation. The scheme is also scalable and efficient in communication, computation and storage
Participant diversity and expressive freedom in firm-managed and customer-managed brand communities

We examine differences between firm-managed and customer-managed brand communities with a conceptual model explaining how demographic and psychographic diversity of participants and their degree of expressive freedom engender trust, learning, and identification in the community, and affect firm-relevant outcomes. We test our hypotheses by estimating a structural equation model and conducting multiple sample analysis with survey data obtained from two leading XBOX brand communities in Brazil. Results reveal that greater demographic and psychographic diversity hinder learning and trust in the community's manager, but expressive freedom has a positive impact on identification with the community. The levels of expressive freedom and demographic diversity are lower yet their respective effects are stronger in the firm-managed community, whereas psychographic diversity is much less, but it has stronger negative effects, in the customer-managed community.
Radial Velocity Detectability of Low-Mass Extrasolar Planets in Close Orbits

Detection of Jupiter-mass companions to nearby solar-type stars with precise radial velocity measurements is now routine, and Doppler surveys are moving toward lower velocity amplitudes. The detection of several Neptune-mass planets with orbital periods of less than a week has been reported. The drive toward the search for close-in, Earth-mass planets is on the agenda. Successful detection or meaningful upper limits will place important constraints on the process of planet formation. In this paper, we quantify the statistics of detection of low-mass planets in close orbits, showing how the detection threshold depends on the number and timing of the observations. In particular, we consider the case of a low-mass planet close to but not on the 2 : 1 mean motion resonance with a hot Jupiter. This scenario is a likely product of the core-accretion hypothesis for planet formation coupled with migration of Jupiters in the protoplanetary disk. It is also advantageous for detection because the orbital period is well constrained. We show that the minimum detectable mass is ≈4 M⊕ (N/20)-1/2(σ/m s-1)(P/days)1/3(M*/M☉)2/3 for N ≥ 20, where N is the number of observations, P is the orbital period, σ is the quadrature sum of Doppler velocity measurement errors and stellar jitter, and M* is the stellar mass. Detection of few Earth-mass rocky cores will require ~1 m s-1 velocity precision and, most important, a better understanding of stellar radial velocity "jitter. "
Evidence Briefings: Towards a Medium to Transfer Knowledge from Systematic Reviews to Practitioners

Context: Integrate research evidence with practice is one of the main goals of evidence-based software engineering. However, recent studies show that the connection between systematic reviews and practitioners has not fully established. Goal: This paper presents the first steps towards a medium to transfer knowledge acquired from systematic reviews to practitioners. Method: We selected a set of systematic reviews identified by a tertiary study and extracted their findings to generate one-page Evidence Briefings to serve as mediums. A design specialist defined the briefings structure based on information design and gestalt principles. To evaluate the format and content of the briefings we conducted personal opinion surveys based on two groups: StackExchange users that posted questions in topics related to the reviews, and the authors of the selected reviews themselves. The former had a response rate of 21.9% (32 out 146) and the latter 31.8% (7 out of 22). Results: Practitioners rarely use systematic review research papers as mediums to acquire knowledge, since just 9% have told to do so. Both researchers and practitioners positively evaluated the evidence briefings, since 71% and 82% of the StackExchange users and systematic review authors, respectively, agreed or strongly agreed that the briefings' interface is clear. Conclusions: Researchers and practitioners were positive about the content and format of the evidence briefings we proposed. It is also possible to say that there is a gap between practitioners and systematic reviews due to the low percentage of practitioners that consume systematic reviews. The good reception of the evidence briefings from both sides show a possible route to reduce that gap.
An Improved Self-Organizing Network Routing Model

By building a virtual network topology named P2P overlay network on top of internet's physical topology layer based on P2P computing mode, we can effectively build a full-decentralized internet based self-organizing network routing model- Hierarchical Aggregation Self-organizing Network (HASN). The target and architecture of HASN are described in this paper, as well as a detailed description of a P2P decentralized naming, route discovering and updating algorithm- HASN_Scale. Simulation results testify the performance of HASN.
Trade and the Transmission of Technology 1

This paper integrates earlier studies on the link of productivity and research and development (R&D) in different industries of a closed economy with the more recent emphasis on R&D-driven growth and international trade in open economies. In this framework, technology in the form of product designs is transmitted to other industries, both domestically as well as internationally, through trade in differentiated intermediate goods. I present empirical results based on a new industry-level data set that covers more than 65% of the world’s manufacturing output and most of the world’s R&D expenditures between 1970 and 1991. The analysis considers productivity effects from R&D in the domestic industry itself, from R&D in other domestic industries, as well as in the same and other foreign industries. I estimate strong productivity effects both from own R&D spending and R&D conducted elsewhere. The contribution of R&D in the industry itself is about 50% in this sample. Domestic R&D in other industries is the source of 30% of the productivity increases, and the remaining 20% are due to R&D expenditures in foreign industries.
Generating relevant and diverse query phrase suggestions using topical n-grams

In order to improve the usability of a search engines, Query Suggestion, a technique for generating alternative queries to Web users, has become an indispensable feature for such systems. All major web-search engines and most existing works on query suggestion utilize query logs to determine possible query suggestions. However, for many search systems, query logs are either unavailable or imperfect to learn appropriate models. In this paper, we propose a new method for generating phrase suggestions by using Topical N-grams to discover a set of meaningful phrases from a document corpus. Furthermore, by ranking suggested phrases with hidden topics, our method is able to effectively generate topically diverse as well as semantically related suggestions. Our proposed approach is tested on a variety of datasets and is compared with the best query suggestion approach without query logs. The experimental results clearly demonstrate the effectiveness of our approach in suggesting queries with higher quality.