Miracle-dz/UniFAR-FTUs huggingface dataset:
Bivalirudin monitored with the ecarin clotting time for anticoagulation during cardiopulmonary bypass.

The problem of heparin-induced thrombocytopenia (HIT) among patients undergoing cardiac surgery is increasingly being appreciated. However, no safe standard anticoagulation strategy has been established for the management of these patients during cardiopulmonary bypass (CPB). Recombinant hirudin (r-
A supervised learning method combine with dimensionality reduction in Vietnamese text summarization

The World Wide Web has brought us a vast amount of online information. When we search with a keyword, data feedback from many different websites and the user cannot read all the information. So that, text summarization has become a hot topic, it has attracted experts in data mining and natural language processing field. For Vietnamese, some methods of text summarization based on that have been proposed for English also bring some significant results. However, still remain some difficult problems to treat with the Vietnamese language processing, typical in this is the Vietnamese text segmentation tool and text summarization corpus. In this paper, we present a Vietnamese text summarization method based on sentence extraction approach using neural network for learning combine reducing dimensional features to overcome the cost when building term sets and reduce the computational complexity. The experimental results show that our method is really effective in reducing computational complexity, and is better than some methods that have been proposed previous.
Real-time tracking and pose-estimation of walking human from silhouette images

A reliable model-based human motion tracking scheme is presented. In this approach, silhouette image sequences from a top-view camera and a side-view camera work together to track human motion in 3D space in real time. The adoption of one top view camera introduces many attractive characteristics. A convenient calibration scheme is presented by decoupling different camera parameters to the largest extent. Point features that are easy to extract and robust to noise are used to track human motion and resolve ambiguity reliably for challenging motions such as an orientation-free walking. In addition, the framework is able to perform quick and satisfactory pose estimation with a real-time optimization processing.
Polysemy, underspecification, and aspects – Questions of lumping or splitting in the construction of Swedish FrameNet

When working on a lexical resource, such as Swedish FrameNet (SweFN), assumptions based on linguistic theories are made, and methodological directions based upon them are taken. These directions often need to be revised when not beforehand foreseen problems arise. One assumption that was made already in the early development stages of SweFN was that each lexical entry from the reference lexicon, SALDO, would evoke only one semantic frame in SweFN. If a lexical entry evoked more than one frame, it entailed more than one sense and therefore required a new en-
Summarizing raw video material using Hidden Markov Models

Besides the reduction of redundancy the selection of representative segments is a core problem when summarizing collections of raw video material. We propose a novel approach for the selection of segments to be included in a video summary based on Hidden Markov Models (HMM), which are trained on an annotated subset of the content. The observations of the HMM are relevance judgments of content segments based on different visual features, the hidden states are the selection/non-selection of content segments. The HMM is designed to take all relevant scenes into account. We show that the approach generalizes well when trained on sufficiently diverse content.
Particle Swarm Optimization: Dynamical Analysis through Fractional Calculus

This chapter considers the particle swarm optimization algorithm as a system, whose dynamics is studied from the point of view of fractional calculus. In this study some initial swarm particles are randomly changed, for the system stimulation, and its response is compared with a non-perturbed reference response. The perturbation effect in the PSO evolution is observed in the perspective of the fitness time behaviour of the best particle. The dynamics is represented through the median of a sample of experiments, while adopting the Fourier analysis for describing the phenomena. The influence upon the global dynamics is also analyzed. Two main issues are reported: the PSO dynamics when the system is subjected to random perturbations, and its modelling with fractional order transfer functions.
The I – – Gaze Interweave for Attachment Repair in EMDR Therapy

Argyle, M. , & Cook, M. (1976) Gaze and mutual gaze. Cambridge, England: Cambridge University Press. Artigas, L. , Jarero, I. , Alcalá, N. , & López Cano, T. (2009) The EMDR integrative group treatment protocol (IGTP). In M. Luber (Ed.), EMDR Scripted Protocols: Basics and Special Situation (279–288). New York: Springer. Baron-Cohen, S. (1994). How to build a baby that reads minds: Cognitive mechanisms in mindreading. Cahiers de Psychologie Cognitive, 13, 513–552. Baron-Cohen, S. (1995). Mindblindness: An essay on autism and theory of mind. Cambridge, MA: MIT Press. Bowlby, J. (1988). A secure base: parent-child attachment and healthy human development. New York: Basic Books. Bradshaw, R. A. , Cook, A. , & McDonald, M. J. (2011). Observed & experiential integration (OEI): Discovery and development of a new set of trauma therapy techniques. Journal of Psychotherapy Integration, 21(2), 104-171. Brown, S. , & Shapiro, F. (2006). EMDR in the treatment of borderline personality disorder. Case Studies, 5(5), 403-420. doi:10.1177/1534650104271773. Chamberlin, E. (2015). The network balance model applied to EMDR. Presentation given at the 2015 EMDRIA conference in Philadelphia. Cook, A.C. and R. Bradshaw (2002) Toward Integration: One Eye at a Time. SightPsych Seminars Incorporated, Vancouver, B.C. Cooper, B.S., Yuille, J.C. , and Kennedy, M. A. (2002). Divergent perspectives in prostitutes’ autobiographical memories: Trauma and dissociation. Journal of Trauma and Dissociation, 3, 3. 75–96. Cozolino, L. (2014). The Neuroscience of Human Relationships. 2 edition. Norton; New York. Dalenberg, C. (2000). Countertransference and the treatment of trauma. American Psychological Association: Washington, DC.
Public Policy and Quality of Life: An Empirical Analysis of Interstate Migration, 2000-2012

Individuals and households choose their political jurisdiction of residence on the basis of expected income differentials and jurisdiction-specific characteristics covered by the general term "amenities. '' In addition to fixed characteristics like climate and terrain, amenities may include public policies, as in the well-known Tiebout model of migration. Do Americans reveal preferences for certain public policies by tending to migrate toward jurisdictions that offer them? This article tests whether state government involvement in fiscal policy, business regulation, and civil and personal liberties more often reflects an amenity or a disamenity for Americans willing to move. As identification strategies, the article estimates spatial, matched-neighbors, and dyadic models of net interstate migration for all 50 states, covering the years 2000-2012. The evidence suggests that cost of living, which is in turn strongly correlated with land-use regulation, strongly deters in-migration, while both fiscal and regulatory components of "economic freedom'' attract new residents. There is less robust evidence that "personal freedom'' attracts residents.
A Systematic Comparison of Linear Regression–Based Statistical Methods to Assess Exposome-Health Associations

Background: The exposome constitutes a promising framework to improve understanding of the effects of environmental exposures on health by explicitly considering multiple testing and avoiding selective reporting. However, exposome studies are challenged by the simultaneous consideration of many correlated exposures. Objectives: We compared the performances of linear regression–based statistical methods in assessing exposome-health associations. Methods: In a simulation study, we generated 237 exposure covariates with a realistic correlation structure and with a health outcome linearly related to 0 to 25 of these covariates. Statistical methods were compared primarily in terms of false discovery proportion (FDP) and sensitivity. Results: On average over all simulation settings, the elastic net and sparse partial least-squares regression showed a sensitivity of 76% and an FDP of 44%; Graphical Unit Evolutionary Stochastic Search (GUESS) and the deletion/substitution/addition (DSA) algorithm revealed a sensitivity of 81% and an FDP of 34%. The environment-wide association study (EWAS) underperformed these methods in terms of FDP (average FDP, 86%) despite a higher sensitivity. Performances decreased considerably when assuming an exposome exposure matrix with high levels of correlation between covariates. Conclusions: Correlation between exposures is a challenge for exposome research, and the statistical methods investigated in this study were limited in their ability to efficiently differentiate true predictors from correlated covariates in a realistic exposome context. Although GUESS and DSA provided a marginally better balance between sensitivity and FDP, they did not outperform the other multivariate methods across all scenarios and properties examined, and computational complexity and flexibility should also be considered when choosing between these methods. Citation: Agier L, Portengen L, Chadeau-Hyam M, Basagaña X, Giorgis-Allemand L, Siroux V, Robinson O, Vlaanderen J, González JR, Nieuwenhuijsen MJ, Vineis P, Vrijheid M, Slama R, Vermeulen R. 2016. A systematic comparison of linear regression–based statistical methods to assess exposome-health associations. Environ Health Perspect 124:1848–1856; http://dx.doi. org/10.1289/EHP172
Dimer models and toric diagrams

We propose a duality between quiver gauge theories and the combinatorics of dimer models. The connection is via toric diagrams together with multiplicities associated to points in the diagram (which count multiplicities of fields in the linear sigma model construction of the toric space). These multiplicities may be computed from both sides and are found to agree in all known examples. The dimer models provide new insights into the quiver gauge theories: for example they provide a closed formula for the multiplicities of arbitrary orbifolds of a toric space, and allow a new algorithmic method for exploring the phase structure of the quiver gauge theory.
Household Shocks and Education Investment in Madagascar

This paper measured the extent to which households in Madagascar adjust children's school attendance in order to cope with exogenous shocks to household income, assets and labour supply. Our analysis was based on a unique data set with 10 years of recall data on school attendance and household shocks. We found that the probability of a child dropping out of school increased significantly when the household experienced an illness, death or asset shock. We proposed a test to distinguish whether the impact of shocks on school attendance could be attributed to credit constraints, labour market rigidities, or a combination of the two. The results of the test suggested that credit constraints, rather than labour market rigidities, explain the inability of households in Madagascar to keep their children in school during times of economic distress.
PROBLEMS WITH HANDLING SPATIAL DATA

Experience with the handling of spatial data on a computer led to the identification of a variety of ‘'awkward” problems, including interpolation, error estimation and dynamic polygon building and editing. Many of the problems encountered could be classified as “‘spatial adjacency” issues. The Voronoi diagram of points and line segments in the Euclidean plane is shown to give a functional definition of spatial adjacency. The basic operations for incremental construction and maintenance of this Voronoi diagram and its dual are described, and a variety of applications are outlined.
Personalizing robot behavior for interruption in social human-robot interaction

People engaging in an activity usually has individual tolerance to be interrupted [1], [2]. Humans subconsciously adapt their behaviors to draw other one's attention and to get into a conversation based on their historical experiences, but robots often fail to be aware of humans' feeling and thus interrupt their users repeatedly. To endow service robots with such socially acceptable ability, we propose an online human-aware interactive learning framework in this paper, under which the robot personalizes its behaviors according to both observed user's attention and its conjecture about user's awareness of itself. To this purpose, the correlation between the robot's theory of awareness, user's attention and robot behavior are explored through reinforcement learning techniques. The conducted experiment shows that the robot can personalize its interruption strategy, and the optimal policies converged for at least 26 episodes.
A test automation solution on GUI functional test

Although it is widely believed that software quality will be improved by the use of automated testing, automation is still not well-off in industry today. There are quite a few issues of traditional software test automation mode, for example, high cost, knowledge barriers, and management troubles. In the paper, a test automation solution on GUI functional test is proposed. The solution integrates test case generation and selection, test case execution, and test reporting to facilitate testing. It introduces the concept of test driver which is designed to take over the communication between test cases and the execution engine. At last, some enhancements are proposed for future work.
Non-supersymmetric asymptotically AdS5 × S5 smooth geometries

We find soliton solutions in five-dimensional gauged supergravity, where a circle degenerates smoothly in the core of the geometry. In the family of solutions we consider, we find no completely smooth supersymmetric solutions, but we find discrete families of non-supersymmetric solitons. We discuss the relation to previous studies of the asymptotically flat case. We also consider gauged supergravities in four and seven dimensions, but fail to find any smooth solutions.
CEP Discussion Paper No 1049 April 2011 Crime and Mental Wellbeing

Most estimates of the cost of crime focus on victims. Yet it is plausible that an even larger cost of crime occurs via its indirect impact on the mental wellbeing of non-victims. To test how crime affects individuals’ mental outcomes, we exploit detailed panel data on mental wellbeing, allowing us to observe the relationship between changes in crime in a local area and changes in the mental wellbeing of resident non-victims in that area (controlling for changes in local economic conditions). Our results suggest that increases in crime rates have a negative impact on the mental wellbeing of residents, with the biggest impacts arising from violent crime. We also find that local press coverage of criminal activity enhances the effect of crime on mental well-being. JEL Classifications: I18, K14, R28
Active inference and robot control: a case study

Active inference is a general framework for perception and action that is gaining prominence in computational and systems neuroscience but is less known outside these fields. Here, we discuss a proof-of-principle implementation of the active inference scheme for the control or the 7-DoF arm of a (simulated) PR2 robot. By manipulating visual and proprioceptive noise levels, we show under which conditions robot control under the active inference scheme is accurate. Besides accurate control, our analysis of the internal system dynamics (e.g. the dynamics of the hidden states that are inferred during the inference) sheds light on key aspects of the framework such as the quintessentially multimodal nature of control and the differential roles of proprioception and vision. In the discussion, we consider the potential importance of being able to implement active inference in robots. In particular, we briefly review the opportunities for modelling psychophysiological phenomena such as sensory attenuation and related failures of gain control, of the sort seen in Parkinson's disease. We also consider the fundamental difference between active inference and optimal control formulations, showing that in the former the heavy lifting shifts from solving a dynamical inverse problem to creating deep forward or generative models with dynamics, whose attracting sets prescribe desired behaviours.
Leader-following consensus of high-order multi-agent linear systems with bounded transmission channels

The leader-following consensus of high-order multi-agent linear systems with bounded transmission channels is considered. Agents modelled as LTI dynamics exchange information according to a network which can be described as a graph with agents as its vertices and information transmission channels as its edges. The transmission channels are bounded. The objective is leader-following in the sense that the state of all agents should converge to that of the leader vehicle. Detailed analysis of the leader-following consensus under bounded transmission channels is investigated for both fixed and switching network topologies.
A Geometric Approach to Segmentation and Analysis of 3 D Medical

A geometric scheme for detecting, representing, and measuring 3D medical data is presented. The technique is based on deforming 3D surfaces, represented via level-sets, towards the medical objects, according to intrinsic geometric measures of the data. The 3D medical object is represented as a (weighted) minimal surface in a Riemannian space whose metric is induced from the image. This minimal surface is computed using the level-set methodology for propagating interfaces, combined with a narrow band technique which allows fast implementation. This computation technique automatically handles topological changes. Measurements like volume and area are performed on the surface, exploiting the representation and the high accuracy intrinsic to the algorithm.
High-Throughput Single-Cell Cultivation on Microfluidic Streak Plates

ABSTRACT This paper describes the microfluidic streak plate (MSP), a facile method for high-throughput microbial cell separation and cultivation in nanoliter sessile droplets. The MSP method builds upon the conventional streak plate technique by using microfluidic devices to generate nanoliter droplets that can be streaked manually or robotically onto petri dishes prefilled with carrier oil for cultivation of single cells. In addition, chemical gradients could be encoded in the droplet array for comprehensive dose-response analysis. The MSP method was validated by using single-cell isolation of Escherichia coli and antimicrobial susceptibility testing of Pseudomonas aeruginosa PAO1. The robustness of the MSP work flow was demonstrated by cultivating a soil community that degrades polycyclic aromatic hydrocarbons. Cultivation in droplets enabled detection of the richest species diversity with better coverage of rare species. Moreover, isolation and cultivation of bacterial strains by MSP led to the discovery of several species with high degradation efficiency, including four Mycobacterium isolates and a previously unknown fluoranthene-degrading Blastococcus species.
Flagellated bacterial motility in polymer solutions

Significance The way microorganisms swim in concentrated polymer solutions has important biomedical implications, i.e., how pathogens invade the mucosal lining of mammal guts. Physicists are also fascinated by self-propulsion in such complex non-Newtonian fluids. The current standard model of how bacteria propelled by rotary helical flagella swim through concentrated polymer solutions postulates bacteria-sized pores, allowing them relative easy passage. Our experiments using high-throughput methods overturn this standard model. Instead, we show that the peculiarities of flagellated bacteria locomotion in concentrated polymer solutions are due to the fast-rotating flagellum, giving rise to a lower local viscosity in its vicinity. The bacterial flagellum is therefore a nano-rheometer for probing flows at the molecular level. It is widely believed that the swimming speed, v, of many flagellated bacteria is a nonmonotonic function of the concentration, c, of high-molecular-weight linear polymers in aqueous solution, showing peaked v(c) curves. Pores in the polymer solution were suggested as the explanation. Quantifying this picture led to a theory that predicted peaked v(c) curves. Using high-throughput methods for characterizing motility, we measured v and the angular frequency of cell body rotation, Ω, of motile Escherichia coli as a function of polymer concentration in polyvinylpyrrolidone (PVP) and Ficoll solutions of different molecular weights. We find that nonmonotonic v(c) curves are typically due to low-molecular-weight impurities. After purification by dialysis, the measured v(c) and Ω(c) relations for all but the highest-molecular-weight PVP can be described in detail by Newtonian hydrodynamics. There is clear evidence for non-Newtonian effects in the highest-molecular-weight PVP solution. Calculations suggest that this is due to the fast-rotating flagella seeing a lower viscosity than the cell body, so that flagella can be seen as nano-rheometers for probing the non-Newtonian behavior of high polymer solutions on a molecular scale.
Applications of Information Technology for Standards-Based Reform in the United States of America: Their Implications for the Discovering Democracy Program in Australia.

An evaluation of the "Discovering Democracy" program, launched by the. Commonwealth government in May 1997 to provide civics and citizenship education in schools across Australia, recommended developing a Web site to disseminate curriculum resources. This paper defines a prototype by examining the features of Web sites established by state education agencies in the United States to promote standards-based reform. After presenting overviews of standards-based reforms, the paper describes, through' a series of case studies focusing on particular states, specific applications for jurying and organizing lesson plans, assessment techniques, and curriculum resources. It concludes by assessing the implications of applying each feature to the design of a Web site for the Discovering Democracy program. Appendixes list Web sites relating to the Discovering Democracy program and Web sites and Web-based tools of U.S. state education agencies. (Contains 14 references.) (BT) Reproductions supplied by EDRS are the best that can be made from the original document. O Applications of Information Technology for Standards-Based Reform in the United States of America: Their Implications for the Discovering Democracy Program in Australia