nils-herrmann/clean_scirepeval huggingface dataset:
GEOS S2S Version 2: The GMAO High Resolution Coupled Model and Assimilation System for Seasonal Prediction.
Venue: Journal of geophysical research. Atmospheres JGR
Year: 2020

The Global Modeling and Assimilation Office (GMAO) has recently released a new version of the Goddard Earth Observing System (GEOS) Sub seasonal to Seasonal prediction (S2S) system, GEOS S2S 2, that represents a substantial improvement in performance and infrastructure over the previous system. The system is described here in detail, and results are presented from forecasts, climate equillibrium simulations and data assimilation experiments. The climate or equillibrium state of the atmosphere and ocean showed a substantial reduction in bias relative to GEOS S2S 1. The GEOS S2S 2 coupled reanalysis also showed substantial improvements, attributed to the assimilation of along track Absolute Dynamic Topography. The forecast skill on subseasonal scales showed a much improved prediction of the Madden Julian Oscillation in GEOS S2S 2, and on a seasonal scale the tropical Pacific forecasts show substantial improvement in the east and comparable skill to GEOS S2S 1 in the central Pacific. GEOS S2S 2 anomaly correlations of both land surface temperature and precipitation were comparable to GEOS S2S 1, and showed substantially reduced root mean square error of surface temperature. The remaining issues described here are being addressed in the development of GEOS S2S Version 3, and with that system GMAO will continue its tradition of maintaining a state of the art seasonal prediction system for use in evaluating the impact on seasonal and decadal forecasts of assimilating newly available satellite observations, as well as to evaluate additional sources of predictability in the earth system through the expanded coupling of the earth system model and assimilation components.
Did the crisis make the Greek economy less inefficient? Evidence from the structure and dynamics of sectoral premia
Year: 2018

It is generally understood that the Greek economy has long been characterised by a range of structural and institutional inefficiencies which, arguably, are at least partly responsible for the crisis that engulfed the country since 2009. In turn, the crisis has also led to a significant adjustment of the Greek economy, both behaviourally (e.g. with regard to labour supply) and institutionally (e.g. with regard to labour market regulations) In this paper we ask whether this adjustment has helped resolve some of the inefficiencies that characterised the Greek economy in the past. We focus on the particular case of sectoral wage premia and examine (a) whether these did indeed reflect economic inefficiency in the past and (b) whether they have declined systematically since the crisis. Sectoral wage premia are generally linked to unobserved worker heterogeneity and compensating differentials (in a competitive framework) or to market distortions, such as monopsony power or information asymmetries (in an imperfect markets framework) Our results show that sectoral premia in Greece are only weakly linked to unobserved worker heterogeneity, but strongly linked to non competitive factors reflecting market inefficiency. Looking at three such factors the availability of rents (as measured by sectoral profitability) the potential for rents (measured via a proxy for intra sectoral competition) and workers' ability to extract such rents (measured by the share of public sector jobs) we find that the crisis altered the relative contribution of such factors but did not lead to a decline in sectoral premia on the whole. Indeed, wage premia appear to have increased in the least competitive sectors while the overall disparity of wages across sectors increased. We conclude that market inefficiencies, as manifested by the presence of unaccounted for sectoral wage differentials, intensified despite all policy efforts in the opposite direction.
Light propagation in periodic photonic structures formed by photo orientation and photo polymerization of nematic liquid crystals
Year: 2017

Propagation of linearly polarized light beams in a nematic liquid crystal cell with distinguished regions of different molecular orientation has been analyzed. Specifically, combination of the planar/homogenic and homeotropic alignment, forming thus spatially limited regions characterized by a different LC molecular orientation, has been tested, as achieved by means of the photo orientation and photo polymerization processes, independently. An influence of molecular orientation on the light beam propagation has been checked for different directions of the linear polarization. Thanks to the molecular reorientation induced by the low frequency external electric field and also to the reorientational nonlinearity taking place in NLCs, propagation direction of the light beam can be additionally controlled by the electric bias and/or optical power, respectively. Proposed structural solutions and techniques, related to the photo orientation and photo polymerization processes described in this communication, give rise to the novel LC geometries and structures. The latter act as promising candidates for new practical photonic applications as they are expected to be of a particular importance for integrated optic elements and devices.
Online Repatronage Intention: An Online System Usage and Purchase Experience Perspective
Year: 2020

Nowadays, more than 10 million Malaysians who are active in online shopping. As with the physical retail business market, customer retention strategies are crucial issue that must be take into consideration by online retailers in an increasingly competitive and challenging digital economy. Previous studies on the behavior of online purchases have focused more on the early stages of adopting an online purchase method and the intention to continue to use the online medium for future purchases. However, studies focusing on the intent to make repurchases through the same online retailer or Online Repatronage Intention (ORI) have not received much attention from researchers. Therefore, this study focuses on ORI as the understanding on it can contribute to the development of customer retention strategies by the marketers. In addition to identifying the factors that influence ORI, this study also examines the impact of system usage experience and online purchase experience towards ORI. The Technology Acceptance Model (TAM) by Davis et al. (1989) and E SERVQUAL Model by Parasuraman et al. (2005) were applied to develop the theoretical framework for this study. A total of 400 questionnaires were distributed through convenience sampling technique. However, only 332 valid questionnaires were accepted to be analyzed.
La traduction automatique des gros mots dans les jeux video Evaluation de trois systemes en ligne
Year: 2019

Le domaine de la traduction automatique a considerablement progresse ces dernieres annees, notamment avec le developpement des reseaux neuronaux. Si les systemes dotes de cette technologie sont capables de generer des traductions de textes en langue standard tres convaincante, meme dans un cadre professionnel, l'objectif de ce memoire est d'examiner s'ils sont aussi performants dans un domaine du langage plus particulier, les gros mots, specifique a chaque langue. En prenant comme sujet d'etude un jeu video, les traductions issues de trois traducteurs automatiques couramment utilises sont tout d'abord comparees afin de determiner le plus apte a traduire des phrases contenant des gros mots. Les resultats du meilleur traducteur automatique sont ensuite confrontes a la traduction humaine officielle du jeu choisi, en vue de determiner si la traduction automatique est en mesure de rivaliser d'un point de vue qualitatif avec la traduction humaine des gros mots.
Economic Analysis of Renewable Energy in the Electricity Marketization Framework: A Case Study in Guangdong, China
Venue: Frontiers in Energy Research
Year: 2020

Along with China's rapid advancement of electricity market reform, market oriented policies in promoting renewable energy development and accommodation are foreseeing. Assessing the economics of renewable energy under electricity marketization is an important issue worthy of study. In this paper, we firstly employ merit order method to establish an electricity market clearing model of the electricity trading by modeling 48 hypothetical scenarios. Then we simulate the market clearing prices at 15 min intervals to discuss the economics of renewable energy in a benchmark feed in tariff (FIT) scenario and a market oriented scenario with the historical data of Guangdong, China. Further, the study exams the economic interrelationship between the outputs of wind and solar power in different load scenarios. The results demonstrate that the consumption of renewable energy is greatly improved in the market oriented situation. However, in this scenario, renewable energy generation is unprofitable and uneconomic compared with in the benchmark FIT scenario. In the high load scenarios, the changes in wind power output have a negative impact on the economics of solar power, while the mixed effects exist in the low load scenarios. Based on these findings, conclusions and policy implications are drawn at the end of the paper.
An Augmented Lagrangian Method for Optimization Problems in Banach Spaces
Venue: SIAM J. Control. Optim.
Year: 2018

We propose a variant of the classical augmented Lagrangian method for constrained optimization problems in Banach spaces. Our theoretical framework does not require any convexity or second order assumptions, and it allows the treatment of inequality constraints with infinite dimensional image space. Moreover, we discuss the convergence properties of our algorithm with regard to feasibility, global optimality, and KKT conditions. Some numerical results are given to illustrate the practical viability of the method.
BERTese: Learning to Speak to BERT
Venue: EACL
Year: 2021

Large pre trained language models have been shown to encode large amounts of world and commonsense knowledge in their parameters, leading to substantial interest in methods for extracting that knowledge. In past work, knowledge was extracted by taking manually authored queries and gathering paraphrases for them using a separate pipeline. In this work, we propose a method for automatically rewriting queries into "BERTese" a paraphrase query that is directly optimized towards better knowledge extraction. To encourage meaningful rewrites, we add auxiliary loss functions that encourage the query to correspond to actual language tokens. We empirically show our approach outperforms competing baselines, obviating the need for complex pipelines. Moreover, BERTese provides some insight into the type of language that helps language models perform knowledge extraction.
The Expressive Moment: How Interaction (with Music) Shapes Human Empowerment
Year: 2016

The expressive moment is that point in time when we grasp a situation and respond quickly, even before we are aware of it. In this book, Marc Leman argues that expression drives this kind of interaction, and he proposes a general framework for understanding expressive interactions. He focuses on the dynamic, fast, and pre reflective processes underlying our interactions with music whether we are playing an instrument, dancing, listening, or using new interactive technologies. Music offers a well established domain for studying these fast and interactive processes, and Leman argues that understanding the power of expressive interaction through music may help us understand cognitive processing in other domains, including language, human action coordination, human animal interaction, and human machine interaction.Leman regards expressive interactions with music as energizing and empowering. He argues that music is based on patterns that intervene with a reinforcing loop in the human brain, strengthening learning, motivation, and reward. He argues further that the reinforcing effect is influenced by the interaction flow, by fast processes that handle expressive qualities on the fly.Leman sets out the framework in which expressive interaction is situated, describing, among other things, a pragmatic model of communication in which the fundamental components are enactment and dynamics. He looks in more detail at the cognitive motivational architecture, discussing sensorimotor and motivational schemes. Finally, he discusses applications for the concepts behind expressive motivation in such fields as sports, entertainment, rehabilitation, multimedia art, and music education.
Can vaccination coverage be improved by reducing missed opportunities for vaccination? Findings from assessments in Chad and Malawi using the new WHO methodology
Venue: PloS one
Year: 2019

In 2015, the World Health Organization (WHO) updated the global methodology for assessing and reducing missed opportunities for vaccination (MOV) when eligible children have contact with the health system but are not vaccinated. This paper presents the results of two pilot assessments conducted in Chad and Malawi.  Using the ten step global WHO MOV strategy, we purposively selected districts and health facilities, with non probabilistic sampling of <24 month old children for exit interviews of caregivers and self administered knowledge, attitudes, and practices (KAP) surveys of health workers. MOV were calculated based on a child's documented vaccination history (i.e. from a home based record (HBR) or a health facility vaccination register) including selected vaccines in the national schedule.  Respondents included caregivers of 353 children in Chad and of 580 children in Malawi. Among those with documented vaccination history, 82% (195/238) were eligible for vaccination in Chad and 47% (225/483) in Malawi. Among eligible children, 51% (99/195) in Chad, and 66% (149/225) in Malawi had one or more MOV on the survey date. During non vaccination visits, 77% (24/31) of children eligible for vaccination in Chad and 92% (119/129) in Malawi had a MOV compared to 46% (75/164) and 31% (30/96) during vaccination visits, respectively. Among health workers, 92% in Chad and 88% in Malawi were unable to correctly identify valid contraindications for vaccination.  The new MOV tool was able to characterize the type and potential causes of MOV. In both countries, the findings of the assessments point to two major barriers to full vaccination of eligible children a lack of coordination between vaccination and curative health services and incomplete vaccination during vaccination visits. National immunization programs should explore tailored efforts to improve health worker practices and to increase vaccine delivery by making better use of existing health service contacts.
Detection Of CT Scan Lungs COVID 19 Image Using Convolutional Neural Network And CLAHE
Venue: 2020 3rd International Conference on Information and Communications Technology (ICOIACT)
Year: 2020

Detecting COVID 19 is a significant task for medical professionals today because of its rapid spread. To overcome this problem, medical professionals have used various techniques and methods to detect to inhibit the proliferation of COVID 19. CT (Computed Tomography) Scan is currently the best method for detecting COVID 19. This diagnostic method is very accurate because it can see organs in three dimensions. However, this method requires a radiologist to detect the disease and requires a long time, which means it will cut valuable time for medical practitioners if a patient is sick. Therefore it is necessary to implement a system to detect the coronavirus automatically as an alternative quickly. This study intends to help medical practitioners to detect computed tomography (CT) Scans of lungs infected with COVID 19. The methods to be used are Limited Adaptive histogram equalization (CLAHE) contrast to improve the quality of CT (Computed Tomography) Scan images of COVID 19 lungs and Convolutional Neural Network (CNN) for the image classification process. The dataset used is 698 RGB images. This study uses three convolutional layers, 3 Max Pooling layers, and two fully connected layers, resulting in 83.28% accuracy.
EFEKTIVITAS PENERAPAN POLA ASUH SEHAT MENTAL TERHADAP PERKEMBANGAN PSIKOSOSIAL ANAK PRASEKOLAH USIA 3 6 TAHUN
Year: 2015

The background of this research is the increasing number of child abuse committed by parents and those nearest that hinder the psychosocial development. The purpose of this study was to analyze the effectiveness of mental health parenting to the psychosocial development of pre school age children 3 6 years in TK Pertiwi I Pracimantoro. This study uses a study design one group pre post test design. The samples were all parents in TK Pertiwi I who have children aged three to six years some 23 peoples. The dependent variable in this study is mental health parenting, the independent variable is the psychosocial development of preschool children 3 6 years. The research instrument used was a questionnaire. Data analysis using SPSS version 17 for analyzing the characteristics of respondents by age, gender, occupation and number of children, to analyze the effect of mental health parenting to psychosocial development of children aged 3 6 years with T test. The results show the value of t is greater than t table so that there is a significant effect. p value 0.000 0.05 (95% confidence level) showed differences in the psychosocial development before and after the application of mental health parenting. The mean result is 18 174 before treatment, after treatment is 20 478 there is a difference score of 2.304 indicating an increase in psychosocial development of preschool children 3 aEUR" 6 years after getting treatment of mental health parenting of parents.  Mental Health Parenting, Psychosocial Development, Preschool children age 3 6 years.
Mapping the stellar age of the Milky Way bulge with the VVV
Year: 2020

The detailed study of the Galactic bulge stellar population necessarily requires an accurate representation of the interstellar extinction particularly toward the Galactic plane and center, where the severe and differential reddening is expected to vary on sub arcmin scales. Although recent infrared surveys have addressed this problem by providing extinction maps across the whole Galactic bulge area, dereddened color magnitude diagrams near the plane and center appear systematically undercorrected, suggesting the need for higher resolutions. These undercorrections affect any stellar study sensitive to color (e.g. star formation history analysis via color magnitude diagram fitting) either making them inaccurate or limiting them to small low/stable extinction windows where this value is better constrained. We aim at providing a high resolution (2 arcmin to \sim$ 10 arcsec) color excess map for the VVV bulge area, in \mathrm{J} \mathrm{K}_s$ color. We use the MW BULGE PSFPHOT catalogs sampling \sim$ 300 deg$^2$ across the Galactic bulge |l| 10^\circ$ and 10^\circ b 5^\circ$ to isolate a sample of red clump and red giant branch stars, for which we calculate average \mathrm{J} \mathrm{K}_s$ color in a fine spatial grid in (l, b) space. We obtain a E$\mathrm{J} \mathrm{K}_s) map spanning the VVV bulge area of roughly 300 deg$^2$ with the equivalent to a resolution between \sim$ 1 arcmin for bulge outskirts $l 6^\circ$ to below 20 arcsec within the central |l| 1^\circ$ and below 10 arcsec for the innermost area |l| 1^\circ$ and |b| 3^\circ$ The result is publicly available at this http URL
Shape matching and object recognition using shape contexts
Year: 2010

This paper presents my work on computing shape models that are computationally fast and invariant basic transformations like translation, scaling and rotation. In this paper, I propose shape detection using a feature called shape context. Shape context describes all boundary points of a shape with respect to any single boundary point. Thus it is descriptive of the shape of the object. Object recognition can be achieved by matching this feature with a priori knowledge of the shape context of the boundary points of the object. Experimental results are promising on handwritten digits, trademark images.
A Closer Look at the Self Correcting Crowd: Examining Corrections in Online Rumors
Venue: CSCW
Year: 2017

This paper examines how users of social media correct online rumors during crisis events. Focusing on Twitter, we identify different patterns of information correcting behaviors and describe the actions, motivations, rationalizations and experiences of people who exhibited them. To do this, we analyze digital traces across two separate crisis events and interviews of fifteen individuals who generated some of those traces. Salient themes ensuing from this work help us describe: 1) different mechanisms of corrective action with respect to who gets corrected and how; 2) how responsibility is positioned for verifying and correcting information; and 3) how users' imagined audience influences their corrective strategy. We synthesize these three components into a preliminary model and explore the role of imagined audiences both who those audiences are and how they react to and interact with shared information in shaping users' decisions about whether and how to correct rumors.
Doing and denying sexism: online responses to a New Zealand feminist campaign against sexist advertising
Year: 2018

In 2012 a New Zealand feminist group launched a campaign against a series of local beer advertisements they deemed "retro sexist." The campaign generated media coverage across a range of viewpoints, but drew a largely negative response from the online public. This article analyses a comprehensive corpus of 753 online comments responding to news of the campaign. We discuss the dominant discursive constructions of gender and of feminists, and the ways these were deployed to trivialise the campaign, demonise the feminist campaigners, and depoliticise the issues. The comments overall, ironically, simultaneously disavow and perform sexism in this online public space. This imbrication of the denial and doing of sexism creates a hostile reception for public feminist voices, potentially dampening the field of possibility for action against sexism within mediated culture.
Analysing the feasibility of green marketing in small medium scale manufacturers
Year: 2010

Many big and large scale business organizations have started implementing green marketing in India. This paper tries to study the feasibility of practicing green marketing in case of small and medium scale manufacturers in Mumbai city and its suburb, (India) It analyses whether these manufacturers are aware about green products and eco labeling, and also the difficulties in implementing green marketing.  To find out whether the small and medium scale manufacturers are aware of green marketing and eco labels. 2. To identify the reasons for obstructing the practice of green marketing in case of small and large scale manufacturers. 3. To sugguest the measures to enhance the practice of green marketing.  The data is collected through survey method from small and medium scale manufacturers situated in Mumbai and its suburbs, India. The respondents were selected through Convenient Sampling Method as manufacturers were hesitant to give information. Data was collected from 114 respondents.  Thus it can be summarised that Eco labelling is still not popular in small and medium scale manufacturers  From the above we can conclude that Green marketing is not going to be an easy concept. The firm has to plan and then carry out research to find out how feasible it is going to be. Green marketing has to evolve since it is still at its infancy stage.