nils-herrmann/clean_scirepeval huggingface dataset:
Grain graphs: OpenMP performance analysis made easy
Venue: PPoPP 2016

Average programmers struggle to solve performance problems in OpenMP programs with tasks and parallel for loops. Existing performance analysis tools visualize OpenMP task performance from the runtime system's perspective where task execution is interleaved with other tasks in an unpredictable order. Problems with OpenMP parallel for loops are similarly difficult to resolve since tools only visualize aggregate thread level statistics such as load imbalance without zooming into a per chunk granularity. The runtime system/threads oriented visualization provides poor support for understanding problems with task and chunk execution time, parallelism, and memory hierarchy utilization, forcing average programmers to rely on experts or use tedious trial and error tuning methods for performance. We present grain graphs, a new OpenMP performance analysis method that visualizes grains computation performed by a task or a parallel for loop chunk instance and highlights problems such as low parallelism, work inflation and poor parallelization benefit at the grain level. We demonstrate that grain graphs can quickly reveal performance problems that are difficult to detect and characterize in fine detail using existing visualizations in standard OpenMP programs, simplifying OpenMP performance analysis. This enables average programmers to make portable optimizations for poor performing OpenMP programs, reducing pressure on experts and removing the need for tedious trial and error tuning.
Approximate Multi Hypothesis Multi Bernoulli Multi Object Filtering Made Multi Easy
Venue: IEEE Transactions on Signal Processing

In multiple target tracking (MTT) it becomes necessary to use a multihypothesis approach if the trajectories of two or more targets cross. However, multihypothesis approaches, e.g. the multiple hypothesis tracker (MHT) or the emerging generalized labelled multi Bernoulli (GLMB) filter, are computationally demanding. In this paper, we propose a simple multi Bernoulli (MB) filter and a post processing method, which together deliver a multihypothesis tracking estimate at a computational cost that is only slightly larger than the cost of a single hypothesis tracking filter even for many targets. The proposed MB filter is shown to be similar to the labeled MB filter, itself an approximation of the multihypothesis GLMB filter. In a simulation study with multiple targets and several trajectory crossings, the proposed filter is shown to be capable of correctly estimating the multihypothesis output. The filter is also tasked with presenting to an operator a principled perspective on a scene with many feasible track switches.
Work stress and alcohol use: developing and testing a biphasic self medication model
Venue: Work and stress

This study developed and tested a moderated mediation model of work stress and alcohol use, based on the biphasic (stimulant and sedative) effects of alcohol and the self medication and stress vulnerability models of alcohol use. The model proposes that exposure to work stressors can increase both negative affect and work fatigue, and that these 2 sources of strain can subsequently motivate the use of alcohol. However, the relations of negative affect and work fatigue to alcohol use are conditional on the joint moderating effects of alcohol outcome expectancies and gender. Data were collected from a national probability sample of 2808 U.S. workers. Supporting the model, the results indicated that work stressor exposure was conditionally related via negative affect to heavy alcohol use among both men and women holding strong tension reduction alcohol expectancies and to after work alcohol use among men holding strong tension reduction alcohol expectancies. Also, work stressor exposure was conditionally related via work fatigue to both heavy alcohol use and workday alcohol use among men holding strong fatigue reduction alcohol expectancies. The results have application in the identification of individuals at higher risk of problematic alcohol use and are relevant to workplace safety and to the design of appropriate interventions.
"NOTHING BUT TIME DESTROYS US" THE DENIERS OF RESURRECTION IN THE QUR`AN

In this posthumously published paper, Patricia Crone (d. 2015) examines a corpus of verses in the Qur`an in which the mushrikun, the supposedly pagan opponents of the qur`anic prophet, are portrayed as objecting to the doctrine of the resurrection, one of the central tenets of the Qur`an. In contrast to the traditional understanding of the mushrikun as idolaters ignorant of monotheism, the evidence of the Qur`an itself suggests that the mushrikun were familiar with the concepts of judgment and resurrection but were either skeptical about them or denied them outright. The Qur`an attributes statements to them that indicate that the resurrection was an ancestral doctrine they had come to reject, not a new teaching. Not only do the mushrikun appear to have been directly familiar with monotheistic concepts, but the Qur`an attributes statements to them that seem to reflect biblical phraseology. The author concludes that the most radical deniers may have represented a strain of eternalism or rationalism current in the late antique world in which the Qur`an was revealed.
The 2D Orientation Interpolation Problem: A Symmetric Space Approach
Venue: ARK

In this paper, we propose a novel construction of Bezier curves of two dimensional (2\)D) orientations using the geometry of real projective plane \mathrm{\mathbb {R}P^{2} Unlike the commonly adopted unit 2 sphere model (S^{2} \mathrm{\mathbb {R}P^{2} is naturally embedded in the (3\)D special orthogonal group \mathrm{SO(3) It is also a symmetric space that is equipped with a particular class of isometries called geodesic symmetry, which allows us to generate any geodesics using the exponential map of \mathrm{SO(3) We implement the generated geodesics to construct Bezier curves for direction interpolation.
Thermal volume change of poorly draining soils I: Critical assessment of volume change mechanisms

The thermal volume change of soils is typically interpreted using the stress history and changes in yield stress with temperature (thermal softening) However, the path followed to reach a given stress state may lead to different thermal volume changes. Alternative mechanisms of thermal volume change are explored using data from the literature and isotropic, drained heating tests on compacted silt. No relationship between thermal volume change and degree of saturation was observed. However, a clear relationship with the secondary compression prior to heating was observed, indicating that thermally accelerated creep may provide better thermal volume change predictions than thermal softening.
The impact of communication channels on communication style and information quality for hotel loyalty programs

The purpose of this study is to evaluate the impact of communication channels on communication style and information quality as perceived by loyalty program members.  An online survey was utilized to collect data, and multivariate analysis of variance was used to test the study hypothesis.  Study results indicated that the choice of a communication channel has a significant impact on the perceived communication style and information quality.  The use of an online survey restricted the ability to generalize findings beyond those that use the internet. Replicating this study in other areas where customers seek information outside of loyalty programs would provide valuable insight into the impact of communication channels on communication style and perceived quality of communication.  Communication style and information quality have been shown to impact customer loyalty. The results of this study indic.
Simple Question Answering by Attentive Convolutional Neural Network
Venue: COLING

This work focuses on answering single relation factoid questions over Freebase. Each question can acquire the answer from a single fact of form (subject, predicate, object) in Freebase. This task, simple question answering (SimpleQA) can be addressed via a two step pipeline: entity linking and fact selection. In fact selection, we match the subject entity in a fact candidate with the entity mention in the question by a character level convolutional neural network (char CNN) and match the predicate in that fact with the question by a word level CNN (word CNN) This work makes two main contributions. (i) A simple and effective entity linker over Freebase is proposed. Our entity linker outperforms the state of the art entity linker over SimpleQA task. (ii) A novel attentive maxpooling is stacked over word CNN, so that the predicate representation can be matched with the predicate focused question representation more effectively. Experiments show that our system sets new state of the art in this task.
Review of: Anna Ewa Wieczorek (2013) Clusivity: A New Approach to Association and Dissociation in Political Discourse

HAL is a multi disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinee au depot et a la diffusion de documents scientifiques de niveau recherche, publies ou non, emanant des etablissements d'enseignement et de recherche francais ou etrangers, des laboratoires publics ou prives.  Anna Ewa Wieczorek (2013) Clusivity: A New Approach to Association and Dissociation in Political Discourse Naomi Truan
Impact of Enclosure on Plant Species Composition and BiomassProduction in Ewa Woreda of Afar Region State, Ethiopia

This study was conducted to know the impact of enclosure on plant covers dynamics and biomass production in Ewa district. A total of 13 species of grasses, 2 species of legumes, and 4 species of other herbaceous plants were identified in both grazing areas. Of the grass species, 15.3% 30.8% 38.6% and 15.3% were highly desirable, desirable, less desirable and undesirable respectively. The grass species dominant in communal grazing areas were Chryspogon plumolosus (22.1% and Tragus beteronianus (20.6% whereas Cenchrus ciliaris (21.2% was dominant in the enclosure area. A higher (P<0.05) total grass biomass production and total herbaceous biomass production were obtained in the enclosure areas than in communal grazing areas while in case of non grass biomass production, there was no any significant different (P<0.05) between the two grazing areas. In general, the result showed that in species composition and biomass production communal grazing areas have deteriorated which may need an immediate intervention, while the enclosure areas need a sustainable conservation of their present condition by considering alternative management that allows selectively and carefully timed utilization.
Uncertainty in vertical extrapolation of wind statistics: shear exponent and WAsP/EWA methods

methods DTU Orbit (16/08/2019) Uncertainty in vertical extrapolation of wind statistics: shear exponent and WAsP/EWA methods This report provides formulations for estimation of uncertainties involved in vertical extrapolation of winds, as well as the total uncertainty incurred when winds observed at one height are extrapolated to turbine hub height for wind resource assessment. This includes new derivations for uncertainties inherent in determination of (wind) shear exponents, and subsequent vertical extrapolation of wind speeds. The report further outlines application of the theory and results of Kelly Troen (2014 6) for gauging the uncertainty inherent in use of the European Wind Atlas (EWA) WAsP method for vertical extrapolation. Lastly, a section has been added that compares the uncertainty in the two aforementioned methods. The independently derived forms corresponding to each vertical extrapolation method give uncertainty estimates that are essentially the same for small vertical extrapolations (pyolbpred/pyolbobs) for larger extrapolations, WAsP based extrapolation leads to smaller estimated uncertainties than the shear extrapolation method.A primary motivation for and part of this work is the creation of a standard for uncertainty estimation and reporting, which is known as the IEC61400 15. The author is actively contributing to this emerging standard, and the work herein thus far constitutes (most of) the vertical extrapolation portion of the IEC 61400 15 draft.
EWA Selection Strategy with Channel Handoff Scheme in Cognitive Radio
Venue: Wirel. Pers. Commun.

Experience Weighted Attraction (EWA) learning allows Cognitive Radio (CR) to learn radio environment communication channel characteristics online. An improved EWA selection strategy based on channel switch mechanism is proposed in this paper to meet CR application's practical requirement. By accumulating history channel experience, it can predict, select and change the current optimal communication channel, dynamic ensure the quality of communication links and finally reduce system communication outage probability. Sensitivity and stability verification is conducted by focusing on the comparison with Q learning algorithm after establishment of a wireless simulation space with time slot sequences that extremely imitates real CR wireless environments.
Wieczorek, Anna Ewa. 2013. Clusivity: A New Approach to Association and Dissociation in Political Discourse

HAL is a multi disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinee au depot et a la diffusion de documents scientifiques de niveau recherche, publies ou non, emanant des etablissements d'enseignement et de recherche francais ou etrangers, des laboratoires publics ou prives.  Anna Ewa Wieczorek (2013) Clusivity: A New Approach to Association and Dissociation in Political Discourse Naomi Truan
Hydraulic and sediment handling performance assessment of Rani Jamara Kulariya Irrigation Project (RJKIP) by conjunctive use of 1D and 3D simulation models

The main objective of this study is to check the hydraulic capacity of designed structures and their behavior under high concentration of sediment inflow. It is also intended to check the possible changes in design without hampering the performance; to make it economic. One dimensional model HEC RAS has been used for major portion of the study and three dimensional model SSIIM has been used in settling basin and the results are compared. The results from two models have been compared. The result suggests that the flow capacity of system can decrease to 71 cumecs from design value of 80 cumecs when checked under minimum sustained river water level at headworks. The Particle Size Distribution (PSD) of Karnali for the month of August is taken and simulated in HEC RAS, which shows that all particles of size greater or equal to 0.125mm are trapped in the settling basin. For intermittent flushing, the D50 of active particle downstream of settling basin is found 0.030mm whereas it is found to be 0.035mm for continuous flush with a flushing discharge of 20m3/s. Other different scenarios of operation and also some design modification in settling basin are checked in HEC RAS. The hydraulic and sediment study has also been done for settling basin using SSIIM and flow vectors and trap efficiency are studied.
Exploring Long Tail Data in Distantly Supervised Relation Extraction
Venue: NLPCC/ICCPOL

Distant supervision is an efficient approach for various tasks, such as relation extraction. Most of the recent literature on distantly supervised relation extraction generates labeled data by heuristically aligning knowledge bases with text corpora and then trains supervised relation classification models based on statistical learning. However, extracting long tail relations from the automatically labeled data is still a challenging problem even in big data. Inspired by explanation based learning (EBL) this paper proposes an EBL based approach to tackle this problem. The proposed approach can learn relation extraction rules effectively using unlabeled data. Experiments on the New York Times corpus demonstrate that our approach outperforms the baseline approach especially on long tail data.
Extraction of a group pair relation: problem solving relation from web board documents
Venue: SpringerPlus

This paper aims to extract a group pair relation as a Problem Solving relation, for example a DiseaseSymptom Treatment relation and a CarProblem Repair relation, between two event explanation groups, a problem concept group as a symptom/CarProblem concept group and a solving concept group as a treatment concept/repair concept group from hospital web board and car repair guru web board documents. The Problem Solving relation (particularly Symptom Treatment relation) including the graphical representation benefits non professional persons by supporting knowledge of primarily solving problems. The research contains three problems: how to identify an EDU (an Elementary Discourse Unit, which is a simple sentence) with the event concept of either a problem or a solution; how to determine a problem concept EDU boundary and a solving concept EDU boundary as two event explanation groups, and how to determine the Problem Solving relation between these two event explanation groups. Therefore, we apply word co occurrence to identify a problem concept EDU and a solving concept EDU, and machine learning techniques to solve a problem concept EDU boundary and a solving concept EDU boundary. We propose using k mean and Naive Bayes to determine the Problem Solving relation between the two event explanation groups involved with clustering features. In contrast to previous works, the proposed approach enables group pair relation extraction with high accuracy.
Development of Active Learning Methods of English in Japanese High Schools to Support Student Activities in Group Discussions
Venue: KES

This study examined English classroom environments with active learning methods in Japanese high schools. Students learned English using a paper based quiz during group discussions. We administered a questionnaire to the students, and the results indicated that 45% of the students would like to use information and communication technology (ICT) tools such as computers and tablets to study English in a classroom. Therefore, we propose active learning methods with ICT tools to enhance creativity, problem solving ability, and knowledge during student activities in group discussions using Google Applications.
Limited adoption of short rotation coppice: The role of farmers' socio cultural identity in influencing practice

UK energy policy promotes biomass energy crops as potentially significant contributors to renewable energy targets, but few farmers have planted these crops. Amongst the many possible explanations for this disconnect between policy ambitions and delivery on the ground, the role of farmers' socio cultural identity has received little attention. This study focuses on the Lockerbie area in south west Scotland, a potentially favourable location for perennial energy crops because (i) it is biophysically suitable for short rotation coppice (SRC) willow, and (ii) Britain's first wood fueled power station provides a significant local market. A survey in 2009 explored farmers' perceptions of SRC willow, and the key reasons why they adopt or reject perennial energy crops. The results show that most farmers regard SRC willow as a financially risky, overly committing and inappropriate crop for their farms. Whilst financial factors are influential, even large potential profits would be insufficient to persuade many farmers to adopt SRC. Non financial factors related to identity, lifestyle, farming culture and the perceived priority of food production powerfully shape the overwhelmingly negative attitudes of farmers to SRC. These findings suggest that biomass energy policy, especially regarding woody crops like SRC willow, needs to be more precisely tailored to influential social factors such as socio cultural identity and local producer culture.
When does spiritual intelligence particularly predict job engagement? The mediating role of psychological empowerment
Venue: Iranian journal of nursing and midwifery research

Regarding the importance of health care providers such as nurses who are always in stressful environments, it is imperative to better understand how they become more engaged in their work. The purpose of this paper is to focus on health care providers (nurses) and examine how the interaction between spiritual intelligence and psychological empowerment affect job engagement.  This descriptive and quantitative study was conducted among nurses at the Faghihi Hospital in Shiraz, Iran in 2010. A sample of nurses (n 179) completed standard survey questionnaire including spiritual intelligence, psychological empowerment, and job engagement which included 5 questions for each dimensions. For testing the hypotheses of the study, results were analyzed through structural equation modeling (SEM) using LISREL 8.8.  SEM revealed that psychological empowerment could fully mediate the relationship between spiritual intelligence and job engagement. However, the correlation between spiritual intelligence and job engagement was significant but weak using Pearson coefficient method. This can imply that psychological empowerment plays a crucial role in the relationship between spiritual intelligence and job engagement.  This paper indicates that spiritual intelligence might affect different organizational parameters, directly or indirectly. Therefore, it is recommended that the researchers evaluate probable relationships between spiritual intelligence and other variables.
How the military benefits from Myanmar's growing opium economy

For the past 10 years drug production in Myanmar has been on the rise. The amount of land used to grow poppy from which the opium sap used to make heroin is derived has more than doubled since 2006. According to the UN, Myanmar now accounts for more than 25 per cent of the global area under illegal poppy cultivation, making the country the second largest producer of illegal opium in the world after Afghanistan.
4. SUPERIOTAS NEGARA ATAS ORGANISASI INTERNASIONAL: KEGAGALAN KERJA SAMA UNODC MYANMAR DALAM MENANGANI PRODUKSI OPIUM PERIODE 2006 2013

Myanmar is the second biggest producer of opium in the world after Afghanistan. Opium production in Myanmar is taking place in Golden Triangle region where is vulnerable to poverty and armed conflict. Although poppy cultivation and opium production has been declared illegal by the Government through Act of 1974, most society still commit the crime. On the other hand, UNODC has established cooperation with Myanmar since 2002 but failed to reduce the number of opium production. The cooperation has resulted in several policies such as International Crop Monitoring Program and Alternative Development. Implementation of these policies lose ground due to the increase in opium production. This study tries to analyze the causes of the failure of cooperation using realist approach combined with evaluative framework borrowed from public administration. This study argues that UNODC has no bargaining power towards Myanmar so it failed to force Myanmar comply the agreement. In addition, the failure also caused by conflict of interest between both parties while in implementing the agreement.