nils-herrmann/clean_scirepeval huggingface dataset:
Competency Management System for Technopark Residents: Smart Space Based Approach
Venue: NEW2AN

Technopark is a union of companies called residents that implement innovation activities. Development of the competence management system for technoparks is currently a relevant task. Such system allows automating the process of resident's search that can satisfy potential customer tasks. The paper presents a smart space based approach for competence management system development and implementation. Every resident is described by a profile that is shared with the smart space and becomes accessible for other competence management system users. The profile consists of several competencies and evidences with skills levels characterized their degree of possession.
Distributed smart space orchestration
Venue: NOMS 2016 2016 IEEE/IFIP Network Operations and Management Symposium

Many networked devices that can interface their physical environments are available off the shelf or can be built in 2016. A comprehensive management of those Smart Devices is required to unlock the existing potential. However, the amount and heterogeneity of the devices make their management difficult. A suitable abstraction is missing. This paper identifies requirements on managing Smart Devices from diverse research fields, assesses relevant existing work, proposes a new management middleware design, and evaluates it quantitatively and qualitatively. The presented novel middleware architecture could become an enabler for a software maker culture.
The Malleability of Intertemporal Choice
Venue: Trends in Cognitive Sciences

Intertemporal choices are ubiquitous: people often have to choose between outcomes realized at different times. Although it is generally believed that people have stable tendencies toward being impulsive or patient, an emerging body of evidence indicates that intertemporal choice is malleable and can be profoundly influenced by context. How the choice is framed, or the state of the decision maker at the time of choice, can induce a shift in preference. Framing effects are underpinned by allocation of attention to choice attributes, reference dependence, and time construal. Incidental affective states and prospection also influence intertemporal choice. We advocate that intertemporal choice models account for these context effects, and encourage the use of this knowledge to nudge people toward making more advantageous choices.
Development of Behavioral Control and Associated vmPFC DLPFC Connectivity Explains Children's Increased Resistance to Temptation in Intertemporal Choice.
Venue: Cerebral cortex

Human civilization is based on the successful pursuit of long term goals, requiring the ability to forego immediate pleasure for the sake of larger future rewards. This ability improves with age, but the precise cognitive and neural mechanisms underlying its development remain elusive. The developmental changes could result either from younger children valuing immediate rewards more strongly or because older children become better at controlling their impulses. By implementing 2 tasks, a choice independent valuation task and an intertemporal choice task, both behaviorally and using fMRI in twenty 6 to 13 year old children, we show developmental improvements in behavioral control to uniquely account for age related changes in temporal discounting. We show further that overcoming temptation during childhood occurs as a function of an age related increase in functional coupling between value signals in the ventromedial prefrontal cortex and brain regions dedicated to behavioral control, such as left dorsolateral prefrontal cortex during choice. These findings can help to devise measures that reduce the substantial costs of impatience to society.
Amygdala hyperactivation to angry faces in intermittent explosive disorder.
Venue: Journal of psychiatric research

Individuals with intermittent explosive disorder (IED) were previously found to exhibit amygdala hyperactivation and relatively reduced orbital medial prefrontal cortex (OMPFC) activation to angry faces while performing an implicit emotion information processing task during functional magnetic resonance imaging (fMRI) This study examines the neural substrates associated with explicit encoding of facial emotions among individuals with IED.  Twenty unmedicated IED subjects and twenty healthy, matched comparison subjects (HC) underwent fMRI while viewing blocks of angry, happy, and neutral faces and identifying the emotional valence of each face (positive, negative or neutral) We compared amygdala and OMPFC reactivity to faces between IED and HC subjects. We also examined the relationship between amygdala/OMPFC activation and aggression severity.  Compared to controls, the IED group exhibited greater amygdala response to angry (vs. neutral) facial expressions. In contrast, IED and control groups did not differ in OMPFC activation to angry faces. Across subjects amygdala activation to angry faces was correlated with number of prior aggressive acts.  These findings extend previous evidence of amygdala dysfunction in response to the identification of an ecologically valid social threat signal (processing angry faces) among individuals with IED, further substantiating a link between amygdala hyperactivity to social signals of direct threat and aggression.
The effect of oxytocin on attention to angry and happy faces in chronic depression
Venue: BMC Psychiatry

BackgroundChronic depression is characterized by a high degree of early life trauma, psychosocial impairment, and deficits in social cognition. Undisturbed recognition and processing of facial emotions are basic prerequisites for smooth social interactions. Intranasal application of the neuropeptide oxytocin has been reported to enhance emotion recognition in neuropsychiatric disorders and healthy individuals. We therefore investigated whether oxytocin modulates attention to emotional faces in patients with chronic depression.MethodsIn this double blind, randomized, controlled study, 43 patients received a single dose of oxytocin or placebo nasal spray and were tested while fulfilling a facial dot probe task. We assessed reaction times to neutral probes presented at the location of one of two faces depicting happy, angry, or neutral expressions as a prime.ResultsWhen comparing reaction times to the congruent (prime and probe at the same location) with incongruent presentation of facial emotions, neither the placebo nor oxytocin group showed an attentional preference for emotional facial expressions in terms of a threat bias. However, oxytocin treatment did reveal two specific effects: it generally reduced the allocation of attention towards angry facial expressions, and it increased sustained attention towards happy faces, specifically under conditions of heightened awareness, i.e. trials with longer primes.ConclusionsWe investigated a heterogeneous group of medicated male and female patients. We conclude that oxytocin does modulate basic factors of facial emotion processing in chronic depression. Our findings encourage further investigations assessing the therapeutic potential of oxytocin in chronic depression.
Coupled formulation and algorithms for the simulation of non planar three dimensional hydraulic fractures using the generalized finite element method

This paper presents a coupled hydro mechanical formulation for the simulation of non planar three dimensional hydraulic fractures. Deformation in the rock is modeled using linear elasticity, and the lubrication theory is adopted for the fluid flow in the fracture. The governing equations of the fluid flow and elasticity and the subsequent discretization are fully coupled. A Generalized/eXtended Finite Element Method (G/XFEM) is adopted for the discretization of the coupled system of equations. A Newton Raphson method is used to solve the resulting system of nonlinear equations. A discretization strategy for the fluid flow problem on non planar three dimensional surfaces and a computationally efficient strategy for handling time integration combined with mesh adaptivity are also presented. Several three dimensional numerical verification examples are solved. The examples illustrate the generality and accuracy of the proposed coupled formulation and discretization strategies.
Dynamic analysis of Euler Bernoulli beam problems using the Generalized Finite Element Method

This work presents dynamic analyses of one dimensional bar and Euler Bernoulli beam problems with Generalized Finite Element Method (GFEM) Enrichment monomials are trigonometric and exponential functions. A beam free vibration problem is analyzed to assess the element's robustness and efficiency. Next, an elastodynamic analysis of a bar is performed using several enrichment levels. Finally, a dynamic elastoplastic analysis of a beam problem is carried out. Error measures and nonlinear strains are estimated. Results from GFEM are compared to results from a conventional FE formulation to show GFEM's level of efficiency in solving Euler Bernoulli beam elastic as well as elastoplastic dynamic problems.
Stable Generalized Finite Element Method and associated iterative schemes; application to interface problems

The Generalized Finite Element Method (GFEM) is an extension of the Finite Element Method (FEM) where the standard finite element space is augmented with a space of non polynomial functions, called the enrichment space. The functions in the enrichment space mimic the local behavior of the unknown solution of the underlying variational problem. GFEM has been successfully applied to a wide range of problems. However, it often suffers from bad conditioning, i.e. its conditioning may not be robust with respect to the mesh and in fact, the conditioning could be much worse than that of the standard FEM. In this paper, we present a numerical study that shows that if the "angle" between the finite element space and the enrichment space is bounded away from 0, uniformly with respect to the mesh, then the GFEM is stable, i.e. the conditioning of GFEM is not worse than that of the standard FEM. A GFEM with this property is called a Stable GFEM (SGFEM) The last part of the paper is devoted to the derivation of a robust iterative solver exploiting this angle condition. It is shown that the required "wall clock" time is greatly reduced compared to popular GFEMs used in the literature.
Two Faces of One Seed: Hormonal Regulation of Dormancy and Germination.
Venue: Molecular plant

Seed plants have evolved to maintain the dormancy of freshly matured seeds until the appropriate time for germination. Seed dormancy and germination are distinct physiological processes, and the transition from dormancy to germination is not only a critical developmental step in the life cycle of plants but is also important for agricultural production. These processes are precisely regulated by diverse endogenous hormones and environmental cues. Although ABA (abscisic acid) and GAs (gibberellins) are known to be the primary phytohormones that antagonistically regulate seed dormancy, recent findings demonstrate that another phytohormone, auxin, is also critical for inducing and maintaining seed dormancy, and therefore might act as a key protector of seed dormancy. In this review, we summarize our current understanding of the sophisticated molecular networks involving the critical roles of phytohormones in regulating seed dormancy and germination, in which AP2 domain containing transcription factors play key roles. We also discuss the interactions (crosstalk) of diverse hormonal signals in seed dormancy and germination, focusing on the ABA/GA balance that constitutes the central node.
Scene structure registration for localization and mapping
Venue: Robotics Auton. Syst.

Image registration, and more generally scene registration, needs to be solved in mobile robotics for a number of tasks including localization, mapping, object recognition, visual odometry and loop closure. This paper presents a flexible strategy to register scenes based on its planar structure, which can be used with different sensors that acquire 3D data like LIDAR, time of flight cameras, RGB D sensors and stereo vision. The proposed strategy is based on the segmentation of the planar surfaces from the scene, and its representation using a graph which stores the geometric relationships between neighbouring planar patches. Uncertainty information from the planar patches is exploited in a hierarchical fashion to improve both the robustness and the efficiency of registration. Quick registration is achieved in indoor structured scenarios, offering advantages like a compact representation, and flexibility to adapt to different environments and sensors. Our method is validated with different sensors: a hand held RGB D camera and an omnidirectional RGB D sensor; and for different applications: from visual range odometry to loop closure and SLAM. A geometric representation based on planar patches is proposed for scene registration.Photometric information is combined with the geometric description for robustness.A novel formulation encoding uncertainty information is proposed to improve accuracy.An implementation of this work is freely available (MRPT and PCL)
Lidar guided stereo simultaneous localization and mapping (SLAM) for UAV outdoor 3 D scene reconstruction
Venue: 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ)

Lidars can be extremely useful tools for measuring outdoor geometry. However while lidar measurements are championed for their high accuracy their point clouds are individually rather sparse and lack colour information. In this work the sparse nature of lidar point clouds is addressed by merging multiple lidar scans into a single large point cloud. This is done by restricting the lidar motion to a single axis of translation and then using interpolation and iterative refinement to acquire a denser model by combining co registered sets of point clouds. This newly constructed model is then used to guide a basic stereo SLAM (simultaneous localization and mapping) algorithm in order to produce a final dense coloured point cloud that preserves the accuracy of the original lidar measurements. Our experiments were performed at various locations using a 16 channel "Puck" Velodyne lidar and a stereo acquisition system consisting of a DJI Phantom quadcopter and a synchronized pair of GoPro HERO 3+ black edition cameras. Results of these experiments demonstrate that the produced reconstructions are both ascetically sound and quantitatively consistent with a set of individual measurements taken around the scene.
Simultaneous localization and mapping in unknown environment using dynamic matching of images and registration of point clouds
Venue: 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

This paper investigates the usage of the RGB D cameras for generation of dense 3D maps of environments. The proposed approach to generation of dense three dimensional maps of indoor environments with a complex infrastructure is based on multisensor dynamic information, spatial alignment of successive frames of data, view based loop closure detection (the robot returns to the primary point) the alignment of the complete sequence of data (mapping and registration of image sequences and sparse clouds three dimensional pixels) A new dynamic matching algorithm combining visual features and depth information to build global consistent maps is proposed. We evaluate the RGB D Mapping in indoor environments of Chelyabinsk State University.
Conference report: 21st SERCIA Conference Masculine/Feminine: Gender in English Language Cinema and Television. Artois University, Arras, (France) 3 5 September 2015Conference organized by Julie Assouly and Marianne Kac Vergne

In September 2015, the SERCIA (Societe d'Etudes et de Recherche sur le Cinema Anglophone, est. 1993) a society dedicated to the study of English speaking cinema, held its annual conference at the Universite d'Artois. The conference was organized by Julie Assouly, Associate Professor of American Studies at Artois University in Arras, and Marianne Kac Vergne, Associate Professor of American Studies at Jules Verne University, Amiens. The conference focused on "Masculine/Feminine: Gender in
Organizing for Inbound Open Innovation: How External Consultants and a Dedicated R&D Unit Influence Product Innovation Performance+

Firms increasingly acquire technological knowledge from external sources to improve their innovation performance. This strategic approach is known as inbound open innovation. The existing empirical evidence regarding the impact of inbound open innovation on performance, however, is ambiguous. The equivocal results are due to moderating factors that influence a firm's ability to acquire technological knowledge from external sources and to transform it into innovation outputs. This paper focuses on a relevant yet overlooked category of moderating factors: organization of research and development (R&D) It explores two organizational mechanisms: one informal and external oriented (involvement of external consultants in R&D activities) and one formalized and internal oriented (existence of a dedicated R&D unit) in the acquisition of technological knowledge through R&D outsourcing, a particular contractual form for inbound open innovation. Drawing on a capabilities perspective and using a longitudinal dataset of 841 Spanish manufacturing firms observed over the period 1999 2007, this paper provides a fine grained analysis of the moderating effects of the two organizational mechanisms. The involvement of external consultants in R&D activities strengthens the impact of inbound open innovation on innovation performance by increasing marginal benefits of acquiring external technological knowledge through R&D outsourcing. Moreover, it reduces the level of inbound open innovation to which the highest innovation performance corresponds. Instead, the existence of a dedicated R&D unit makes the firm less sensitive to changes in the level of inbound open innovation, by reducing marginal benefits of acquiring external technological knowledge through R&D outsourcing, and increases the level of inbound open innovation to which the highest innovation performance corresponds. The results regarding the role of informal and formalized R&D organizational mechanisms contribute to research on open innovation and absorptive capacity, and also inform managers as to what organizational mechanism is recommended to acquire external technological knowledge, depending on the objectives that the firm pursues.
Cross Lingual Named Entity Recognition via Wikification
Venue: CoNLL

Named Entity Recognition (NER) models for language L are typically trained using annotated data in that language. We study cross lingual NER, where a model for NER in L is trained on another, source, language (or multiple source languages) We introduce a language independent method for NER, building on cross lingual wikification, a technique that grounds words and phrases in nonEnglish text into English Wikipedia entries. Thus, mentions in any language can be described using a set of categories and FreeBase types, yielding, as we show, strong language independent features. With this insight, we propose an NER model that can be applied to all languages in Wikipedia. When trained on English, our model outperforms comparable approaches on the standard CoNLL datasets (Spanish, German, and Dutch) and also performs very well on lowresource languages (e.g. Turkish, Tagalog, Yoruba, Bengali, and Tamil) that have significantly smaller Wikipedia. Moreover, our method allows us to train on multiple source languages, typically improving NER results on the target languages. Finally, we show that our languageindependent features can be used also to enhance monolingual NER systems, yielding improved results for all 9 languages.
Signature of Arctic first year ice melt pond fraction in X band SAR imagery

In this paper we investigate the potential of melt pond fraction retrieval from X band polarimetric synthetic aperture radar (SAR) on drifting first year sea ice. Melt pond fractions retrieved from a helicopter borne camera system were compared to polarimetric features extracted from four dual polarimetric X band SAR scenes, revealing significant relationships. The correlations were strongly dependent on wind speed and SAR incidence angle. Co polarisation ratio was found to be the most promising SAR feature for melt pond fraction estimation at intermediate wind speeds (6. 2 m s 1) with a Spearman's correlation coefficient of 0. 46. At low wind speeds (0. 6 m s 1) this relation disappeared due to low backscatter from the melt ponds, and backscatter VV polarisation intensity had the strongest relationship to melt pond fraction with a correlation coefficient of 0. 53. To further investigate these relations, regression fits were made both for the intermediate (R2fit 0. 21) and low (R2fit 0. 26) wind case, and the fits were tested on the satellite scenes in the study. The regression fits gave good estimates of mean melt pond fraction for the full satellite scenes, with less than 4 from a similar statistics derived from analysis of low altitude imagery captured during helicopter ice survey flights in the study area. A smoothing window of 51 x 51 pixels gave the best reproduction of the width of the melt pond fraction distribution. A considerable part of the backscatter signal was below the noise floor at SAR incidence angles above 40deg, restricting the information gain from polarimetric features above this threshold. Compared to previous studies in C band, limitations concerning wind speed and noise floor set stricter constraints on melt pond fraction retrieval in X band. Despite this, our findings suggest new possibilities in melt pond fraction estimation from X band SAR, opening for expanded monitoring of melt ponds during melt season in the future.
The mannose receptor negatively modulates the Toll like receptor 4 aryl hydrocarbon receptor indoleamine 2,3 dioxygenase axis in dendritic cells affecting T helper cell polarization.
Venue: The Journal of allergy and clinical immunology

Dendritic cells (DCs) are key players in the induction and re elicitation of TH2 responses to allergens. We have previously shown that different C type lectin receptors on DCs play a major role in allergen recognition and uptake. In particular, mannose receptor (MR) through modulation of Toll like receptor (TLR) 4 signaling, can regulate indoleamine 2,3 dioxygenase (IDO) activity, favoring TH2 responses. Interestingly, the aryl hydrocarbon receptor (AhR) a ligand dependent transcription factor with an emerging role in immune modulation, has been implicated in IDO activation in response to TLR stimulation.  Here we investigated how allergens and lectins modulate the TLR4 AhR IDO axis in human monocyte derived DCs.  Using a combination of genomics, proteomics, and immunologic studies, we investigated the role of MR and AhR in IDO regulation and its effect on T helper cell differentiation.  We have demonstrated that LPS induces both IDO isoforms (IDO1 and IDO2) in DCs, with partial involvement of AhR. Additionally, we found that, like mannan, different airborne allergens can effectively downregulate TLR4 induced IDO1 and IDO2 expression, most likely through binding to the MR. Mannose based ligands were also able to downregulate IL 12p70 production by DCs, affecting T helper cell polarization. Interestingly, AhR and some components of the noncanonical nuclear factor kB pathway were shown to be downregulated after MR engagement, which could explain the regulatory effects of MR on IDO expression.  Our work demonstrates a key role for MR in the modulation of the TLR4 AhR IDO axis, which has a significant effect on DC behavior and the development of immune responses against allergens.