nils-herrmann/clean_scirepeval huggingface dataset:
Exploring flow experiences in cooperative digital gaming contexts
Venue: Comput. Hum. Behav.

Given the social nature of digital gaming, an investigation into social processes underpinning the experiences within social contexts of play is greatly warranted. The current research explored the underpinnings of "group flow" within cooperative based gaming. In particular, this was intended to provide insight into the social processes which facilitate flow experiences in these contexts. This was achieved through a questionnaire in which gamers (N??76) provided retrospective open ended accounts of flow during cooperative gaming. Additionally, quantitative data was obtained on flow and post gameplay mood within this experience, as well as in solo gaming for comparative analysis. Thematic analysis of the qualitative responses revealed a number of factors which determined the experience of flow. These were; effective communication and team work and task relevant knowledge of group members. Additionally, although flow was found to be lower in cooperative versus solo gaming, no differences in post gameplay mood were observed. These findings aid conceptual development of facilitators of group flow in cooperative gaming, with insights into how this may extend to other cooperative activities. Additionally, they also provide new practical insight for representatives in the gaming industry on how gaming may be developed with the aim of promoting positive shared group experiences. An exploration of "real world" accounts of social gaming.An exploration into the social processes underpinning flow.Evidence to indicate group flow in digital gaming.
Coexistence of Multiple Attractors and Crisis Route to Chaos in a Novel Chaotic Jerk Circuit
Venue: Int. J. Bifurc. Chaos

In this paper, a novel autonomous RC chaotic jerk circuit is introduced and the corresponding dynamics is systematically investigated. The circuit consists of opamps, resistors, capacitors and a pair of semiconductor diodes connected in anti parallel to synthesize the nonlinear component necessary for chaotic oscillations. The model is described by a continuous time three dimensional autonomous system with hyperbolic sine nonlinearity, and may be viewed as a linear transformation of model MO15 previously introduced in [Sprott, 2010] The structure of the equilibrium points and the discrete symmetries of the model equations are discussed. The bifurcation analysis indicates that chaos arises via the usual paths of period doubling and symmetry restoring crisis. One of the key contributions of this work is the finding of a region in the parameter space in which the proposed "elegant" jerk circuit exhibits the unusual and striking feature of multiple attractors (i.e. coexistence of four disconnected periodic and chaotic attractors) Laboratory experimental results are in good agreement with the theoretical predictions.
Coexistence of multiple attractors and crisis route to chaos in a novel memristive diode bidge based Jerk circuit

In the present paper, a new memristor based oscillator is obtained from the autonomous Jerk circuit [Kengne et al. Nonlinear Dynamics (2016) 83: 751765] by substituting the nonlinear element of the original circuit with a first order memristive diode bridge. The model is described by a continuous time four dimensional autonomous system with smooth nonlinearities. Various nonlinear analysis tools such as phase portraits, time series, bifurcation diagrams, Poincare section and the spectrum of Lyapunov exponents are exploited to characterize different scenarios to chaos in the novel circuit. It is found that the system experiences period doubling and crisis routes to chaos. One of the major results of this work is the finding of a window in the parameters' space in which the circuit develops hysteretic behaviors characterized by the coexistence of four different (periodic and chaotic) attractors for the same values of the system parameters. Basins of attractions of various coexisting attractors are plotted showing complex basin boundaries. As far as the authors' knowledge goes, the novel memristive jerk circuit represents one of the simplest electrical circuits (no analog multiplier chip is involved) capable of four disconnected coexisting attractors reported to date. Both PSpice simulations of the nonlinear dynamics of the oscillator and laboratory experimental measurements are carried out to validate the theoretical analysis.
Recent advances in (soil moisture) triple collocation analysis
Venue: Int. J. Appl. Earth Obs. Geoinformation

To date, triple collocation (TC) analysis is one of the most important methods for the global scale evaluation of remotely sensed soil moisture data sets. In this study we review existing implementations of soil moisture TC analysis as well as investigations of the assumptions underlying the method. Different notations that are used to formulate the TC problem are shown to be mathematically identical. While many studies have investigated issues related to possible violations of the underlying assumptions, only few TC modifications have been proposed to mitigate the impact of these violations. Moreover, assumptions, which are often understood as a limitation that is unique to TC analysis are shown to be common also to other conventional performance metrics. Noteworthy advances in TC analysis have been made in the way error estimates are being presented by moving from the investigation of absolute error variance estimates to the investigation of signal to noise ratio (SNR) metrics. Here we review existing error presentations and propose the combined investigation of the SNR (expressed in logarithmic units) the unscaled error variances, and the soil moisture sensitivities of the data sets as an optimal strategy for the evaluation of remotely sensed soil moisture data sets.
Who Supplies Liquidity, How and When?

Who provides liquidity in modern, electronic limit order book, markets? While agency trading can be constrained by conflicts of interest and information asymmetry between customers and traders, prop traders are likely to be less constrained and thus better positioned to carry inventory risk. Moreover, while slow traders' limit orders may be exposed to severe adverse selection, fast trading technology can improve traders' ability to monitor the market and avoid being picked off. To shed light on these points, we rely on unique data from Euronext and the AMF, the French financial markets regulator, enabling us to observe the connectivity of traders to the market, and whether they are proprietary traders. We find that proprietary traders, be they fast or slow, provide liquidity with contrarian marketable orders, thus helping the market absorb shocks, even during a crisis, and they earn profits while doing so. Moreover, fast traders provide liquidity by leaving limit orders in the book. Yet, only prop traders can do so without making losses. This suggests that technology is not enough to overcome adverse selection; monitoring incentives are also needed.
Carbon Materials for Lithium Sulfur Batteries Ten Critical Questions.
Venue: Chemistry

Lithium sulfur batteries are among the most promising electrochemical energy storage devices of the near future. Especially the low price and abundant availability of sulfur as the cathode material and the high theoretical capacity in comparison to state of the art lithium ion technologies are attractive features. Despite significant research achievements that have been made over the last years, fundamental (electro chemical questions still remain unanswered. This review addresses ten crucial questions associated with lithium sulfur batteries and critically evaluates current research with respect to them. The sulfur carbon composite cathode is a particular focus, but its complex interplay with other hardware components in the cell, such as the electrolyte and the anode, necessitates a critical discussion of other cell components. Modern in situ characterisation methods are ideally suited to illuminate the role of each component. This article does not pretend to summarise all recently published data, but instead is a critical overview over lithium sulfur batteries based on recent research findings.
Extreme Learning Machine for Multilayer Perceptron
Venue: IEEE Transactions on Neural Networks and Learning Systems

Extreme learning machine (ELM) is an emerging learning algorithm for the generalized single hidden layer feedforward neural networks, of which the hidden node parameters are randomly generated and the output weights are analytically computed. However, due to its shallow architecture, feature learning using ELM may not be effective for natural signals (e.g. images/videos) even with a large number of hidden nodes. To address this issue, in this paper, a new ELM based hierarchical learning framework is proposed for multilayer perceptron. The proposed architecture is divided into two main components: 1) self taught feature extraction followed by supervised feature classification and 2) they are bridged by random initialized hidden weights. The novelties of this paper are as follows: 1) unsupervised multilayer encoding is conducted for feature extraction, and an ELM based sparse autoencoder is developed via l1 constraint. By doing so, it achieves more compact and meaningful feature representations than the original ELM; 2) by exploiting the advantages of ELM random feature mapping, the hierarchically encoded outputs are randomly projected before final decision making, which leads to a better generalization with faster learning speed; and 3) unlike the greedy layerwise training of deep learning (DL) the hidden layers of the proposed framework are trained in a forward manner. Once the previous layer is established, the weights of the current layer are fixed without fine tuning. Therefore, it has much better learning efficiency than the DL. Extensive experiments on various widely used classification data sets show that the proposed algorithm achieves better and faster convergence than the existing state of the art hierarchical learning methods. Furthermore, multiple applications in computer vision further confirm the generality and capability of the proposed learning scheme.
Character Level Neural Translation for Multilingual Media Monitoring in the SUMMA Project
Venue: LREC

The paper steps outside the comfort zone of the traditional NLP tasks like automatic speech recognition (ASR) and machine translation (MT) to addresses two novel problems arising in the automated multilingual news monitoring: segmentation of the TV and radio program ASR transcripts into individual stories, and clustering of the individual stories coming from various sources and languages into storylines. Storyline clustering of stories covering the same events is an essential task for inquisitorial media monitoring. We address these two problems jointly by engaging the low dimensional semantic representation capabilities of the sequence to sequence neural translation models. To enable joint multi task learning for multilingual neural translation of morphologically rich languages we replace the attention mechanism with the sliding window mechanism and operate the sequence to sequence neural translation model on the character level rather than on the word level. The story segmentation and storyline clustering problem is tackled by examining the low dimensional vectors produced as a side product of the neural translation process. The results of this paper describe a novel approach to the automatic story segmentation and storyline clustering problem.
The Toronto Consensus for the Treatment of Helicobacter pylori Infection in Adults.
Venue: Gastroenterology

Helicobacter pylori infection is increasingly difficult to treat. The purpose of these consensus statements is to provide a review of the literature and specific, updated recommendations for eradication therapy in adults.  A systematic literature search identified studies on H pylori treatment. The quality of evidence and strength of recommendations were rated according to the Grading of Recommendation Assessment, Development and Evaluation (GRADE) approach. Statements were developed through an online platform, finalized, and voted on by an international working group of specialists chosen by the Canadian Association of Gastroenterology.  Because of increasing failure of therapy, the consensus group strongly recommends that all H pylori eradication regimens now be given for 14 days. Recommended first line strategies include concomitant nonbismuth quadruple therapy (proton pump inhibitor [PPI] amoxicillin metronidazole clarithromycin [PAMC] and traditional bismuth quadruple therapy (PPI bismuth metronidazole tetracycline [PBMT] PPI triple therapy (PPI clarithromycin either amoxicillin or metronidazole) is restricted to areas with known low clarithromycin resistance or high eradication success with these regimens. Recommended rescue therapies include PBMT and levofloxacin containing therapy (PPI amoxicillin levofloxacin) Rifabutin regimens should be restricted to patients who have failed to respond to at least 3 prior options.  Optimal treatment of H pylori infection requires careful attention to local antibiotic resistance and eradication patterns. The quadruple therapies PAMC or PBMT should play a more prominent role in eradication of H pylori infection, and all treatments should be given for 14 days.
Improved Spatial Pyramid Matching for Sports Image Classification
Venue: 2016 IEEE Tenth International Conference on Semantic Computing (ICSC)

In the study on sports image classification, the characteristics of human pose increasingly raise concerns of researchers. However, the same posture for human may be resulted from different scenes and scene objects that express diverse action states and meanings. Thus, combination of human pose and event scenes shall be considered so as to improve performance of sports image classification. In recent years, spatial pyramid matching (SPM) has attracted more and more attentions on the field of natural scene categories. Moreover, the high accuracy in image retrieval and image classification has been shown in multiple works. However, SPM can merely consider the absolute locations of the visual words in images. Hence, this paper attempts to take spatial pyramid matching as the basic idea, and combines with Visual Words Spatial Dependence Matrices that describes the relative spatial information. As shown in the experimental results, classification accuracy of the proposed method is improved by approximately 19% compared with SPM, and superior to some other improved SPM methods in the sports image classification.
Land use classification with biologically inspired color descriptor and sparse coding spatial pyramid matching
Venue: Multimedia Tools and Applications

Land use classification using remote sensing images plays a key role in many applications such as urban mapping and geospatial object detection. With the rapid development of satellite sensors, high resolution images which exhibit more detailed textures now can be acquired. How to effectively represent these images and recognize the categories of land use/land cover scenes has become a challenging task. In this paper, we propose a novel biologically inspired descriptor combined with the sparse coding spatial pyramid matching (ScSPM) for land use classification. A color processing pipeline is first presented to simulate the opponent responses of human visual system. By extending the scale invariant feature transform (SIFT) on processed color channels, a descriptor that is able to jointly extract color and shape information for land use images is proposed. Then the ScSPM model is employed to incorporate the local descriptors of an image, followed by a linear kernel support vector machine (SVM) for image classification. Performance evaluation on the publicly available LULC data set demonstrates that the proposed method achieves better classification accuracy than other reference methods.
El carbon activado y las condiciones de oscuridad en la micropropagacion de banana variedad Nanicao

The objective of this work was to evaluate the effects of activated charcoal and the initial darkness conditions in the propagation in vitro of banana Musa spp. variety Nanicao. Were employed 64 apexes coming from shoots of approximately 20 to 30 cm. The treatments consisted in the combination of two concentrations of activated charcoal (2 and 3 g/l) and two initial dark conditions (15 and 30 days) The experimental design went completely randomized with 2 x 2 factorial arrangement and four replications. Each experimental unit consisted of four apexes. Statistical analysis consisted ANOVA with significance level of 5 The variables were the average rate of multiplication, survival percentage, oxidation, contamination and acclimatization of plantlets. Means were compared by Tukey test at 5 of probability. The results showed significant difference in the interaction between the concentration of 2 g/l of activated charcoal and 15 days of initial darkness at the survival percentage from the first subculture which reached 57.30 In the establishment phase the percentage of contamination of the apexes was 39.06 while that in the first subculture was 22.39 The oxidation in the establishment phase was 9.37 and in the first subculture was 8.85 It is concluded the interaction between the concentration of 2 g/l of activated charcoal and 15 days of initial incubation period is effective in increasing survival.  Musa spp; banana; survival; in vitro multiplication.
Enraizamiento in vitro de embriones cigoticos de Acrocomia aculeata (Jacq. Lodd ex Mart

Acrocomia aculeata is a potential specie for the energy industry, however, the latency in its seeds delay germination, affecting performance. The experiment was performed in the Biology Laboratory of the Faculty of Agricultural Sciences of the National University of Asuncion; the objective was to establish a protocol for zygotic embryogenesis and rooting of this species. A completely randomized design was used, applying Kruskal Wallis and Mann Whitney test with 5% error probability, subject to verification of assumptions of distribution The treatments consisted of MS medium (Murashige and Skoog) supplemented with benzylaminopurine (BAP) of 1, 2 and 4 ppm, MS medium with 2 g/L of active carbon (AC) and simple MS mediums. 45 zygotic embryos were initially cultivated on MS medium supplemented with 2 g/L of AC and exposed to initial darkness for 20 days, then subcultured in the mentioned treatments. Root length was the measured variable, assessed in two periods of 20 days. There was no significant effects in the treatments with BAP, the CA suppressed explants oxidation; whereas the best results showed treatments 1 (MS 1 ppm BAP) and 4 (MS CA 2g/L) with 6 and 5 cm of root length respectively, after 40 incubation days.
Parent Work Conditions and Adolescent Core Self Evaluations: Examining the Effects of Work Resource Drain and Parent Gender

PurposeUsing resource drain and social cognitive theory frameworks, this study investigates the process through which parent time and energy resource drain relates to adolescent core self evaluation. Parent child interactive and routine activities and parental social support are tested as mediators.MethodologyData are reported by mothers, fathers, and adolescent children in 151 middle class, dual earner families from the 500 Family Study. Hypotheses are tested using path analysis and moderated mediation.FindingsParent work hours negatively relate to adolescent reports of received social support, partially due to decreased time spent engaged in parent child interactive activities. Fathers' work hours indirectly relate to adolescent core self evaluations through parent child interactive activities and social support from fathers; this indirect relationship was not found for mothers. Exploratory analyses examined differences by parent and child gender. Fathers' work hours are more likely to detract from parent child routine activities relative to mothers' work hours. The relationship between father work hours and parent child interactive activities is buffered for sons compared to daughters.ImplicationsResults help to explain why parent work related resource drain relates to adolescent core self evaluations. Parent gender, type of resource drain, and type of activity are identified as potential boundary conditions. Interactive activities and social support are key mediators warranting attention. theory is used as a framework for linking parent work related resource drain and child outcomes. Mechanisms are identified that explain adolescent core self evaluations development. Use of multisource data helps to mitigate problems with single source data used in previous studies.
Advanced oxidative processes and membrane separation for micropollutant removal from biotreated domestic wastewater
Venue: Environmental Science and Pollution Research

The presence of micropollutants in sewage is already widely known, as well as the effects caused by natural and synthetic hormones. Thus, it is necessary to apply treatments to remove them from water systems, such as advanced oxidation processes (AOPs) and membrane separation processes, which can oxidize and remove high concentrations of organic compounds. This work investigated the removal of 17b estradiol (E2) 17a ethinylestradiol (EE2) and estriol (E3) from biotreated sewage. Reverse osmosis processes were conducted at three recoveries (50, 60, and 70 For E2 and EE2, the removals were affected by the recovery. The best results for RO were as follows: the E2 compound removal was 89 for 60 recovery and the EE2 compound removal was 57 for 50 recovery. The RO recovery did not impact the E3 removal. It was concluded that the interaction between the evaluated estrogens, and the membrane was the major factor for the hormone separation. The AOP treatment using H2O2/UV was carried out in two sampling campaigns. First, we evaluated the variation of UV doses (24.48, 73.44, 122.4, and 244.8 kJ m 2) with 18.8 mg L 1 of H2O2 in the reaction. EE2 showed considerable removals (around 70 In order to optimize the results, an experimental design was applied. The best result was obtained with higher UV dose (122.4 kJ m 2) and lower H2O2 concentration (4 mg L 1) achieving removal of 91 for E3 and 100 for E2 and EE2.
OUTCOME ANALYSIS USING NEO4J GRAPH DATABASE

Databases are an integral part of a computing system and users heavily rely on the services they provide. When interact with a computing system, we expect that data be stored for future use, that the data is able to be looked up fastly, and we can perform complex queries against the data stored in the database. Many different emerging database types available for use such as relational databases, object databases, keyvalue databases, graph databases, and RDF databases. Each type of database provides unique qualities that have applications in certain domains. Our work aims to investigate and compare the performance and scalability of relational databases to graph databases in terms of handling multilevel queries such as finding the impact of a particular subject with the working area of pass out students. MySQL was chosen as the relational database, Neo4j as the graph database.