Miracle-dz/UniFAR-FTUs huggingface dataset:
Overview of the TREC 2010 Entity Track

Abstract : The issue of combining (noisy) textual material (the Web) with semi-structured data (like Wikipedia or slightly more structured data sources like IMDB) is however an interesting line of research. As many data sources, and in particular those being constructed as so-called Linked Open Data (LOD), are naturally organized around entities, it would be reasonable to examine this problem in the context of entity retrieval. To foster research in this direction, we introduced the new Entity List Completion (ELC) pilot task. ELC is motivated by the same user scenario as REF, but with the main difference that entities are represented by their URIs in a Semantic Web crawl (the Billion Triple Collection). In addition, a small number of example entities (defined by their URIs) are made available as part of the topic definition. Our goal is to turn this pilot task to an "official" task in 2011.
Repertoire Requirements of CD4+ T Cells That Prevent Spontaneous Autoimmune Encephalomyelitis1

Spontaneous experimental autoimmune encephalomyelitis arises in 100% of mice exclusively harboring myelin basic protein-specific T cells, and can be prevented by a single injection of CD4+ T cells obtained from normal donors. Given the powerful regulatory effect of the transferred T cells, we further investigated their properties, and, in particular, their repertoire requirements. Transfer of monoclonal OVA-specific CD4+ T cells did not confer protection from disease even when present at very high proportions (about 80% of total lymphocytes). Lack of protection was also evident after immunization of these animals with OVA, indicating that not just any postthymic CD4+ T cells has the potential to become regulatory. However, protection was conferred by cells bearing limited TCR diversity, including cells expressing a single Vα4 TCR chain or cells lacking N nucleotides. We also investigated whether coexpression of the myelin basic protein-specific TCR with another TCR in a single cell would alter either pathogenesis or regulation. This was not the case, as myelin basic protein-specific/OVA-specific recombinase activating gene-1−/− double TCR transgenic mice still developed experimental autoimmune encephalomyelitis spontaneously even after immunization with OVA. Based on this evidence, we conclude that CD4+ T regulatory cells do not express canonical TCRs and that the altered signaling properties brought about by coexpression of two TCRs are not sufficient for the generation of regulatory T cells. Instead, our results indicate that regulatory T cells belong to a population displaying wide TCR diversity, but in which TCR specificity is central to their protective function.
Using HTTP Pipelining to Improve Progressive Download over Multiple Heterogeneous Interfaces

Today, mobile devices like laptops and cell phones often come equipped with multiple network interfaces, enabling clients to simultaneously connect to independent access networks. Even though applications, such as multimedia streaming and video-on-demand delivery systems, could potentially benefit greatly from the aggregated bandwidth, implementation and standardization challenges have so far hindered the deployment of multilink solutions. Previously, we have explored the benefits of collaboratively using multiple Internet connections to progressively download and play back large multimedia files. In this paper, we present an improved version of our approach that utilizes HTTP's capability of request pipelining in combination with range retrieval requests. While, in our earlier work, the optimal choice of file segmentation size presented a tradeoff between throughput and startup latency, the enhanced solution is able to overcome this tradeoff. The use of very small segments no longer impairs the efficiency of throughput aggregation, which additionally makes our solution robust against link variances and agnostic to network heterogeneity.
Iatrogenic causes of hilar radiopaque densities

To the Editors: We read with interest the case by Vandooren et al . 1, which highlighted one unusual cause of iatrogenic lung hilar densities. Embolisation of cement following percutaneous application and, indeed, embolisation of other foreign material (for example, cyanoacrylate glue and sclerotherapy …
Challenges and Opportunities with Fault Injection in Virtualized Systems

We analyze: (i) use of virtualization to facilitate fault injection into non-virtualized systems, and (ii) use of fault injection to evaluate the dependability of virtualized systems. With the Xen Virtual Machine Monitor (VMM) as a test case, for (i), we injected thousands of faults into the code, memory, and registers of paravirtualized and fullyvirtualized Virtual Machines (VMs) from within the VM and from the VMM. We describe and resolve challenges related to the implementation of result logging, page table injection, and the use of performance counters in VMs. For (ii), we injected into the VMM, privileged/driver VM, and unprivileged VMs. We used multiple types of fault injections in VMs to evaluate the isolation among VMs and demonstrate the value of fault injection for VMM validation.
Mobility of Humanoid Robots: Stepping over Large Obstacles Dynamically

Humanoid robots are getting increasing attention in the robotics community, not only for the scientific challenge of the complex multibody system issues and mechatronic designs, but also due to their high mobility and versatility. Humanoid robots have the potential to navigate through complex environments such as the standard living surrounding of humans. This is mainly due to the bipedal legged nature of the robotic system, which allows higher mobility than its wheeled counterpart. One of the advantages is that it can negotiate obstacles by stepping over them, which is the topic of the work presented in this paper. The main focus of this research is to investigate stepping over large obstacles. Previous work has reported on algorithms using quasi-static balancing, which resulted in somehow unnatural slow motions. This work however focuses on stepping over larger obstacles in a fluent dynamic motion, using stability criteria on zero moment point instead of center of gravity. All the work is formulated in function of the elaborate HRP-2 humanoid research platform. In this paper a preliminary 2D study on stepping over leg trajectories and their dynamic implications on the overall stability are investigated. The paper discusses the implementation of the stepping over procedure in the overall dynamic motion generator, the implications on the kinematics and dynamics and finally the actual stepping over foot trajectory planner
Image decomposition with anisotropic diffusion applied to leaf-texture analysis

Texture analysis is an important field of investigation that has received a great deal of interest from computer vision community. In this paper, we propose a novel approach for texture modeling based on partial differential equation (PDE). Each image $f$ is decomposed into a family of derived sub-images. $f$ is split into the $u$ component, obtained with anisotropic diffusion, and the $v$ component which is calculated by the difference between the original image and the $u$ component. After enhancing the texture attribute $v$ of the image, Gabor features are computed as descriptors. We validate the proposed approach on two texture datasets with high variability. We also evaluate our approach on an important real-world application: leaf-texture analysis. Experimental results indicate that our approach can be used to produce higher classification rates and can be successfully employed for different texture applications.
Measuring Program Similarity

Performance evaluation using only a subset of programs from a benchmark suite is commonplace in computer architecture research. This is especially true during early design space exploration when a variety of enhancements need to be evaluated to reach a good microprocessor architecture in a limited amount of time. When such a subset of benchmark programs is used for performance evaluation of architectural enhancements, it is essential that the subset is well distributed within the target workload space rather than clustered in specific areas. Past efforts for identifying subsets have primarily relied on using microarchitecture-dependent metrics of program performance, such as cycles per instruction and cache miss-rate. The shortcoming of this technique is that the results could be biased by the idiosyncrasies of the chosen configurations. We believe that a technique based on measuring the inherent characteristics of a program will make the results applicable to any microarchitecture. The objective of this paper is to present a methodology to measure similarity of programs based on their inherent microarchitecture-independent characteristics. We apply our methodology to the SPEC CPU2000 benchmark suite and demonstrate that a subset of 8 programs can be used to effectively represent the entire suite. We validate the usefulness of this subset by using it to estimate the average IPC, speedup, and L1 data cache miss-rate of the entire suite. The average IPC of 8-way and 16-way issue superscalar processor configurations could be estimated with 3.9% and 4.4% error respectively. This methodology is applicable not only to find subsets from a benchmark suite, but also to identify programs for a benchmark suite from a list of potential candidates. We also apply the microarchitecture-independent program characterization methodology to understand how the inherent characteristics of programs in four generations of SPEC CPU benchmark suites have evolved over the last decade. Surprisingly, we find that other than a dramatic increase in the dynamic instruction count and increasingly poor temporal data locality, the inherent program characteristics have more or less remained the same.
Improved reversible data hiding through full employment of image pixels

A new reversible data hiding algorithm for digital images is proposed in this paper. A single key parameter is derived in the algorithm during the hiding process. This parameter must be transferred to extract data. A 3 × 3 window slides over the cover image by one pixel unit, and one bit can be embedded at each position of the window. Thus, the ideal maximum hiding capacity is equal to the number of pixels in the image. As a result, significant increases in hiding capacity and better visual quality of message-hidden images may be achieved. The proposed algorithm is verified with simulations.
Content-Centric Multicast Beamforming in Cache-Enabled Cloud Radio Access Networks

Multicast transmission and wireless caching are effective ways of reducing air and backhaul traffic load in wireless networks. This paper proposes to incorporate these two key ideas for content-centric transmission in a cloud radio access network (RAN) where multiple base stations (BSs) are connected to a central processor (CP) via finite-capacity backhaul links. Each BS has a cache with finite storage size and is equipped with multiple antennas. The BSs cooperatively transmit contents, either stored in the local cache or fetched from the CP, to multiple users in the network. Users requesting a same content form a multicast group and are served by a same cluster of BSs cooperatively using multicast beamforming. Assuming fixed cache placement, this paper investigates the joint design of multicast beamforming and content-centric BS clustering by formulating an optimization problem of minimizing the total network cost under the quality-of-service (QoS) constraints for each multicast group. The network cost involves both the transmission power and the backhaul cost. We model the backhaul cost using the mixed $\ell_0/\ell_2$-norm of beamforming vectors. To solve this non-convex problem, we first approximate it using the semidefinite relaxation (SDR) method and concave smooth functions. We then propose a difference of convex functions (DC) programming algorithm to obtain suboptimal solutions and show the connection of three smooth functions. Simulation results validate the advantage of multicasting and show the effects of different cache size and caching policies in cloud RAN.
Combined Influence of Gelatin Fibre Topography and Growth Factors on Cultured Dorsal Root Ganglia Neurons

Nerve guidance channels facilitate nerve regeneration and represent an attractive alternative to nerve graft. Actually, nano‐ and microstructured biomaterials for nerve reconstruction have gained much attention, thanks to recent discoveries about topography effects on cell behavior and morphology. Electrospun fibres have been proposed as filler or structural component for nerve guidance channels, principally due to their similarity with extracellular matrices which facilitate nerve regeneration. Among several tested biomaterials, gelatin has been used to prepare fibres able to support Schwann cell migration and neurite outgrowth. In this work, the effects of gelatin fibre size on axon elongation and Schwann cell migration have been tested using dorsal root ganglia cultures. Moreover, we analyzed how fibres might affect the expression of specific neuronal subtype markers in sensory neuron cultures and how the combined effect of substrate and biological cues affects neurite growth and gene expression. Data show that fibre topography differentially affects both neurite outgrowth and gene expression and suggest that fibre size and topography associated to specific growth factor exposure might be used to select neuron subpopulations and favor the axonal growth of specific neurons. Anat Rec, 301:1668–1677, 2018. © 2018 Wiley Periodicals, Inc.
Cross-Cultural Validation of the Marital Satisfaction Inventory-Revised: A confirmatory factor analytic study

Cross-Cultural Validation of the Marital Satisfaction Inventory-Revised: A Confirmatory Factor Analytic Study. (August 2010) Molly Faithe Gasbarrini, B.A., State University of New York at Buffalo Chair of Advisory Committee: Dr. Douglas K. Snyder This study examined issues of measurement equivalence in a cross-national study using the Marital Satisfaction Inventory-Revised (MSI-R). Overall findings supported cross-cultural similarities across the Spain, Germany, Korea, and the U.S. standardization samples. The Spanish, German, and Korean translations of the MSI-R demonstrated moderate to strong internal consistency, inter-scale correlations, and discriminative validity overall. Confirmatory factor analyses revealed configural and metric invariance across the original measure and the German, Spanish, and Korean translations. Mean profile comparisons between the current German, Spanish, and Korean samples and the original standardization sample revealed significant differences on several scales. Test characteristic similarities between the U.S. and the Spanish, German, and Korean clinical samples suggest the clinical utility of the MSI-R for identifying couples for secondary prevention or intervention protocols, and treatment planning in Spain, Germany, and Korea. Implications for cross-national clinical and research applications of the MSI-R are discussed.
Spectral Properties of the Hermitian and Skew-Hermitian Splitting Preconditioner for Saddle Point Problems

In this paper we derive bounds on the eigenvalues of the preconditioned matrix that arises in the solution of saddle point problems when the Hermitian and skew-Hermitian splitting preconditioner is employed. We also give sufficient conditions for the eigenvalues to be real. A few numerical experiments are used to illustrate the quality of the bounds.
Role-based Administration of User-Role Assignment: The URA97 Model and its Oracle Implementation

In role-based access control (RBAC) permissions are associated with roles, and users are made members of appropriate roles thereby acquiring the roles’ permissions. The principal motivation behind RBAC is to simplify administration. An appealing possibility is to use RBAC itself to manage RBAC, to further provide administrative convenience. In this paper we investigate one aspect of RBAC administration concerning assignment of users to roles. We define a role-based administrative model, called URA97 (User-Role Assignment ’97), for this purpose and describe its implementation in the Oracle database management system. Although our model is quite different from that built into Oracle, we demonstrate how to use Oracle stored procedures to implement it.
Incremental learning of robot dynamics using random features

Analytical models for robot dynamics often perform suboptimally in practice, due to various non-linearities and the difficulty of accurately estimating the dynamic parameters. Machine learning techniques are less sensitive to these problems and therefore an interesting alternative for modeling robot dynamics. We propose a learning method that combines a least squares algorithm with a non-linear feature mapping and an efficient update rule. Using data from five different robots, we show that the method can accurately model manipulator dynamics, either when trained in batch or incrementally. Furthermore, the update time and memory usage of the method are bounded, therefore allowing use in real-time control loops.
Combining FIPA agents and web services for the design of tailorable groupware architecture

In this paper, we present a new groupware architectural model called UD3, which is based on the integration of web services technologies with software agents. The aim is to design a tailorable groupware architecture using the integration of both technologies, thus using properties of each while reinforcing their individual strengths. In fact, agent-oriented technology is claimed to become the next breakthrough in the development and implementation of large-scale complex systems, while Web services are fast emerging technologies for connecting remotely executing programs via well established internet protocols. Web services and agents were originally developed with different standards, thus their integration becomes important in the context of groupware tailorability, giving a totally innovative approach for designing collaborative applications.
Study of multiple air vehicles and multiple-mission route planning in virtual battlefield

This paper proposes to realize the multiple air vehicle cooperative initial route planning and the renewal of the threat degree replanning ability for smart air vehicle. For the threat in part of the battlefield the air vehicle had foreseen, we made the sparse roadmap based on the delineation of different kinds of threat degree and search the initial route through genetic algorithm. To ensure the diversity of initial population of genetic algorithm, we have produced the strategy by using equal distribution in gene space and optimized the randomly generated initial population. In the course of executing the battlefield planning, we made a fine roadmap and replanned real-time route. The example of combat simulation has validated that the design is feasible and reasonable.
NARCIA: an automated tool for change impact analysis in natural language requirements

We present NARCIA, a tool for analyzing the impact of change in natural language requirements. For a given change in a requirements document, NARCIA calculates quantitative scores suggesting how likely each requirements statement in the document is to be impacted. These scores, computed using Natural Language Processing (NLP), are used for sorting the requirements statements, enabling the user to focus on statements that are most likely to be impacted. To increase the accuracy of change impact analysis, NARCIA provides a mechanism for making explicit the rationale behind changes. NARCIA has been empirically evaluated on two industrial case studies. The results of this evaluation are briefly highlighted.
Modelling the Dynamics of Youth Subcultures

What are the dynamics behind youth subcultures such as punk, hippie, or hip-hop cultures? How does the global dynamics of these subcultures relate to the individual's search for a personal identity? We propose a simple dynamical model to address these questions and find that only a few assumptions of the individual's behaviour are necessary to regenerate known features of youth culture.
An Accurate Image Processing Algorithm for Detecting FISH Probe Locations Relative to Chromosome Landmarks on DAPI Stained Metaphase Chromosome Images

With the increasing use of Fluorescence In Situ Hybridization (FISH) probes as markers for certain genetic sequences, the requirement of a proper image processing framework is becoming a necessity to accurately detect these probe signal locations in relation to the centerline of the chromosome. Although many image processing techniques have been developed for chromosomal analysis, they fail to provide reliable results in segmenting and extracting the centerline of chromosomes due to the high variability in shape of chromosomes on microscope slides. In this paper we propose a hybrid algorithm that utilizes Gradient Vector Flow active contours, Discrete Curve Evolution based skeleton pruning and morphological thinning to provide a robust and accurate centerline of the chromosome, which is then used for the measurement of the FISH probe signals. The ability to accurately detect FISH probe locations with respective to the centerline and other landmarks can provide the cytogeneticists with detailed information that could lead to a faster diagnosis.
THE EFFECT OF MOVING DURING CHILDHOOD ON LONG RUN INCOME : EVIDENCE FROM SWEDISH REGISTER DATA S

In this paper I study the long-term effects of inter-municipal moving during childhood on income using Swedish register data. Due to the richness of the data I am able to control for important sources of selection into moving, such as parent separation, parents’ unemployment, education, long run income, and immigration background. I find that children’s long run incomes are significantly negatively affected by moving during childhood, and the effect is larger for those who move more often. For children who move once, I also estimate the effect of the timing and the quality of the move. I measure the quality of each neighborhood based on the adult outcomes for individuals who never move; the quality of a move follows as the difference in quality between the origin and the destination. Given that a family moves, I find that the negative effect of childhood moving on adult income is increasing in age at move. Children benefit economically from the quality of the region they move to only if they move before age 12 (sons) and age 16 (daughters). JEL classification: D31, J17, J24, J62, R23
Achenbach Youth Self-Report for 12-18 years of age students in Beijing

Objective: This study explores the relationship between behavior problems of adolescent and the influential factors. Methods: Achenbach's Youth Self-Report (YSR) was applied to 1410 aged 12~18 students in 6 middle schools of Beijing. Resultss: There are 79 students with behavior problems in subjects and the prevalence rate of behavior problems was 13.01%. No significant difference in the prevalence between boys and girls (χ2=0.834,P 0.05). In factors of behavior problems, the prevalence rate show some different in age and sex groups. The total score of YSR are negative correlated with students' academic achievement(r =-0.153,P 0.01). Negative correlations are found between the score of social abilities and the sub-checklist of anxiety, depress, concentration, withdraw and social problems(r =-0.131～-0.253,P 0.01). Low correlations are found between the score of activity and various behaviors of sub-checklist. The prevalence rate of behavior problems of the adolescents in intellectual families, ordinary families, workers' families, unemployed families are 8.13%? 11.42%? 13.21%? 24.32% respectively. The Cronbach α between the 106 items and the total score is 0.9462, and split-half reliability is 0.9143. The results show that version of YSR has a good homogeneity. Conclusion: The behavior problems in the adolescents are affected by sex, age, academic achievement, social relations and their family environment.