nils-herrmann/clean_scirepeval huggingface dataset:
Orthogonal ML for Demand Estimation: High Dimensional Causal Inference in Dynamic Panels*
Year: 2018

There has been growing interest in how economists can import machine learning tools designed for prediction to accelerate and automate the model selection process, while still retaining desirable inference properties for causal parameters. Focusing on partially linear models, we extend the Double ML framework to allow for (1) a number of treatments that may grow with the sample size and (2) the analysis of panel data under sequentially exogenous errors. Our low dimensional treatment (LD) regime directly extends the work in [Chernozhukov et al. 2016] by showing that the coefficients from a second stage, ordinary least squares estimator attain root n convergence and desired coverage even if the dimensionality of treatment is allowed to grow. In a high dimensional sparse (HDS) regime, we show that second stage LASSO and debiased LASSO have asymptotic properties equivalent to oracle estimators with no upstream error. We argue that these advances make Double ML methods a desirable alternative for practitioners estimating short term demand elasticities in non contractual settings. We would like to thank Vasilis Syrgkanis, Whitney Newey, Anna Mikusheva, Brian Quistorff and participants of MIT Econometrics Lunch for valuable comments. ar X iv :1 71 2. 09 98 8v 2 st at .M L 1 0 Ja n 20 18
Spatiotemporal Dynamics and Spatial Determinants of Urban Growth in Suzhou, China
Year: 2017

This paper analyzes the spatiotemporal dynamics of urban growth and models its spatial determinants in China through a case study of Suzhou, a rapidly industrializing and globalizing city. We conducted spatial analysis on land use data derived from multi temporal remote sensing images of Suzhou from 1986 to 2008. Three urban growth types, namely infilling, edge expansion, and leapfrog, were identified. We used landscape metrics to quantify the temporal trend of urban growth in Suzhou. During these 22 years, Suzhou's urbanization changed from bottom up rural urbanization to city based top down urban expansion. The underlying mechanism changed from TVE (town village enterprise) driven rural industrialization to FDI (foreign direct investment) driven development zone fever. Furthermore, we employed both global and local logistic regressions to model the probability of urban land conversion against a set of spatial variables. The global logistic regression model found the significance of proximity, neighborhood conditions, and socioeconomic factors. The logistic geographically weighted regression (GWR) model improved the global regression model with better model goodness of fit and higher prediction accuracy. More importantly, the local parameter estimates of variables enabled us to exam spatial variations of the influences of variables on urban growth in Suzhou.
Government Role in Development of Child friendly City Based on Traditional Games
Year: 2018

The purpose of this study is to synergize and integrate theoretical conceptual with the development of a child friendly city (CFC) related to the community, local elites and the government of Kendari city. It is also intended to explore the values that exist in children's traditional games in the area of Kendari city with the empirical reality that occurs during the process of urban development. This research is descriptive qualitative. Data collection technique used in depth interviews and field observations. The results show that children's traditional games in Kendari city today tend to experience a shift towards modern games based on computer and television technology. This condition affects the behavior and character of children. Children easily give up, unable to cooperate, difficult to interact with the environment are some negative impact of the modern games. Support and cooperation from various parties are needed to overcome this problem. Development of CFC is a government priority program. The CFC provides guarantees for the fulfillment of the children rights. To realize a CFC, the government should prepare the children's creative space, cooperate with the relevant parties, and form a task force for CFC. The results of the research can be used as a recommendation in the form of regulations and policies of Kendari city government toward the development of CFC through children's traditional games approach.
Privacy, Power, and Invisible Labor on Amazon Mechanical Turk
Venue: CHI
Year: 2019

Tasks on crowdsourcing platforms such as Amazon Mechanical Turk often request workers' personal information, raising privacy risks that may be exacerbated by requester worker power dynamics. We interviewed 14 workers to understand how they navigate these risks. We found that Turkers' decisions to provide personal information during tasks were based on evaluations of the pay rate, the requester, the purpose, and the perceived sensitivity of the request. Participants also engaged in multiple privacy protective behaviors, such as abandoning tasks or providing inaccurate data, though there were costs associated with these behaviors, such as wasted time and risk of rejection. Finally, their privacy concerns and practices evolved as they learned about both the platform and worker designed tools and forums. These findings deepen our understanding of both privacy decision making and invisible labor in paid crowdsourcing, and emphasize a general need to understand how privacy stances change over time.
Analysis of song activities for developing listening skill for students in octavo ano de educacion general basica at unidad educativa "mercedes de jesus molina" city of Riobamba, Chimborazo Province, during the academic period september 2016 february 2017
Year: 2018

The present research was done at Unidad Educativa Fiscomisional "Mercedes de Jesus Molina" with the students of Octavo Ano Parallel "A" through a previous observation the following problem was detected, the students have not been properly encouraged to develop and practice the listening skill because of the inappropriate use of song activities. This current investigation was carried out with the objective of analyze the song activities that help to develop the listening skill in the students of Octavo Ano. This investigation was of qualitative type with an exploratory level. The ethnographic method was used to discover what occurs in the field of study. The non participatory observation was used due to the role of the researcher was passive. The population was 42 students and the teacher. The instrument used for the data collection was an observation sheet which was applied to the population mention above. After the analysis of results, it concludes that through the use of song activities favor in the development of listening skill, however, the song activities are not applied adequately, which prevents students from having a correct listening comprehension, causing an inconvenience in the learning of the English language.
Exploring the Impact of God Schema on Equal Opportunity Climate and Related Indicators of Organizational Effectiveness
Year: 2009

The present study explored the relationship between God schema and work place perceptions, specifically perceptions of equal opportunity (EO) climate and indicators of organizational effectiveness (OE) The first aim of this research was to investigate the impact of God schema (i.e. God schema patterns) on EO climate (i.e. collective EO climate patterns) The second aim of this research was to explore the impact of God schema, race, gender, and EO climate on indicators of organizational effectiveness, such as job satisfaction, organizational commitment, perceived work group cohesion, and perceived work group effectiveness. The final aim of this study was to examine the impact of group heterogeneity in terms of God schema, race, and gender, on group perceptual agreement. Data was collected and analyzed from 1,622 United States Navy personnel who completed the DEOMI Equal Opportunity Climate Survey (DEOCS) and attached God schema research module. Using a pattern approach (i.e. cluster analysis and configural frequency analysis) the results provided clear support for a relationship between God schema and perceptions of EO climate and OE. The findings suggested the influence of God schema was expressed differently depending on an individual's race/gender identity. Lastly, the results provided support for the predictive power of God schema (i.e. God schema heterogeneity within a unit) on unit level agreement.
Building powerful and equivariant graph neural networks with structural message passing
Venue: NeurIPS
Year: 2020

Message passing has proved to be an effective way to design graph neural networks, as it is able to leverage both permutation equivariance and an inductive bias towards learning local structures to achieve good generalization. However, current message passing architectures have a limited representation power and fail to learn basic topological properties of graphs. We address this problem and propose a new message passing framework that is powerful while preserving permutation equivariance. Specifically, we propagate unique node identifiers in the form of a one hot encoding in order to learn a local context matrix around each node. This enables to learn rich local information about both features and topology, which can be pooled to obtain node representations. Experimentally, we find our model to be superior at predicting various graph topological properties, opening the way to novel powerful architectures that are both equivariant and computationally efficient.
Anti Lock Braking System in Two Wheelers
Year: 2014

In today's world safety plays a very important role in the field of automobiles. Everybody wants to feel safe whether in their own vehicle or in the vehicle of others. With the introduction of new faster vehicles and two wheeler, accidents are increasing year by year so newer and better safety systems are coming up to prevent accidents or injury to occupants. The ABS (Antilock Braking System) is one such safety feature. Working of the ABS is it prevents the wheels of the vehicle from locking up while braking which causes the vehicle to skid at high speeds. Skidding occurs more in two wheelers as people tend to enjoy to speed up on a two wheeler as it is lighter and gives less aerodynamic resistance. In order to reduce the skidding and improve safety we are planning to introduce ABS in two wheelers. This paper develops the anti lock braking control system integrated with active suspensions applied to a two wheeler. In emergency, although the braking distance can be reduced by the control torque, the braking time and distance can be further improved if the normal force generated from active suspension systems is considered simultaneously. Finally the future developments on the ABS are dwelt on.
Bir yenidogan yogun bakim biriminde adenovirus salgin yonetimi
Year: 2011

Epidemic conjunctivitis caused by adenovirus frequently spreads by direct contact during ophtalmologic examination This report is written nbsp; to share our nbsp; experience of an adenovirus epidemic in our neonatal intensive care unit Material and Method: The detailed medical and infection control committee records of the newborns cared in Ege University neonatal intensive care unit and the personnel together in the period between 09 14 2009 10 17 2009 were used in this report Conjunctiva nasopharynx and stool samples were collected from 15 patients hospitalized in the service 9 girls 6 boys and from 25 personnel Weekly samples were collected from infants during the epidemic Direct fluorescence antibody test and nbsp; ldquo;shell vial rdquo; cell culture method were conducted synchronously in all samples Adenovirus conjunctivitis was diagnosed according to clinical evidence and or detection of adenovirus in direct fluorescence antibody test and cell cultures SPSS 13 0 statistics programme was used for analysis  Severe conjunctivitis occurred within 3 days of fundus examination for screening of retinopathy of prematurity in 5 newborns who were examined in the same day in the ophtalmologist who examined the infants and in 2 newborns who were not examined nbsp; Ten of 15 infants who were cared in the neonatal intensive care unit during this epidemic had conjunctivitis Five of these patients had also gastroenteritis Five nurses had conjunctivitis and had a leave for therapy and isolation Adenovrus was detected in direct fluorescence antibody test and cell culture in one nurse Adenovirus antigen was detected in 3 conjunctival swabs and 1 tracheal aspirate in symptomatic nbsp; infants nbsp; The diagnosis was confirmed with tissue cultures In addition to standard precautions droplet precautions were also taken with the recommendation of Infection Control Committee Conclusions: The meticulous infection control measures including nbsp; closing the unit to new admissions detailed cleaning and decontamination of neonatal intensive care unit prevented the epidemic to spread further and limited the duration of the epidemic A second epidemic did not occur and all patients recovered Turk Arch Ped 2011; 46: 194 8
Ease Of Use Dan Trust Terhadap Purchase Intention Melalui Customer Satisfaction Pada Situs Web Tokopedia
Year: 2020

This study aims to analyze the ease of use variable is a positive predictor of purchase intention, to analyze the ease of use variable is a positive predictor of customer satisfaction, to analyze whether trust is a positive predictor of purchase intention, to analyze whether trust is a positive predictor of customer satisfaction and to analyze whether customer satisfaction is a positive predictor of purchase intention. The population used in this study were all users of web sites or Tokopedia applications in Indonesia. Considering the number of web site users or Tokopedia applications, the researchers took samples from the population to be respondents in the study. The research sample was collected from customers who use the Tokopedia website or application and are domiciled in the Greater Jakarta area. Hypothesis testing is done with the main data of 300 respondents. The technique in sampling in this study uses probability sampling techniques. The type of probability sampling used is the simple random sampling method. Data analysis tools were analyzed using SPSS ver 23 to measure the ease of use and trust variables of purchase intention through customer satisfaction in the Tokedia application and found that ease of use is a positive and significant predictor of purchase intention, ease of use is a positive predictor and significant to customer satisfaction, trust is a positive and significant predictor of purchase intention, trust is a positive and significant predictor of customer satisfaction, customer satisfaction is a positive and significant predictor of purchase intention. Keywords ease of use, trust, purchase intention, customer satisfaction
Reducing the Bias in Blocked Particle Filtering for High Dimensional Systems
Year: 2014

Particle filtering is a powerful approximation method that applies to state estimation in nonlinear and non Gaussian dynamical state space models. Unfortunately, the approximation error depends exponentially on the system dimension. This means that an incredibly large number of particles may be needed to appropriately control the error in very large scale filtering problems. The computational burden required is often prohibitive in practice. Rebeschini and Van Handel (2013) analyse a new approach for particle filtering in large scale dynamic random fields. Through a suitable localisation operation they reduce the dependence of the error to the size of local sets, each of which may be considerably smaller than the dimension of the original system. The drawback is that this localisation operation introduces a bias. In this work, we propose a modified version of Rebeschini and Van Handel's blocked particle filter. We introduce a new degree of freedom allowing us to reduce the bias. We do this by enlarging the space during the update phase and thus reducing the amount of dependent information thrown away due to localisation. By designing an appropriate tradeoff between the various tuning parameters it is possible to reduce the total error bound via allowing a temporary enlargement of the update operator without really increasing the overall computational burden.
Kesterson Reservoir: 30 Years of Selenium Risk Assessment and Management.
Venue: Integrated environmental assessment and management
Year: 2019

Severe effects of selenium (Se) occurred among birds feeding and nesting at Kesterson Reservoir (San Joaquin Valley, California) in 1983 1985. This paper describes the integration of site monitoring, risk assessment, and management actions conducted after the effects of Se were discovered. Selenium contamination of the site occurred over just a few years, but actions to resolve the contamination issues required >20 years. The Reservoir, a series of 12 ponds totaling about 1,280 acres (518 hectares) served for storage and evaporation of subsurface agricultural drainage. Selenium concentrations in Reservoir inflow in 1983 were about 300 ug/L, primarily as selenate; within the ponds it was biogeochemically reduced to other inorganic and organic forms and bioaccumulated by biota or deposited to sediments. An estimated 9000 kg of Se were delivered to Kesterson in 1981 1986. A 1985 order required cleanup and abatement of the Reservoir, so Reclamation and the US Department of the Interior undertook actions and studies to reduce hazards to birds. In 1988, about one million cubic yards (764,500 cubic meters) of soil were used to fill portions of the Reservoir, transforming it into terrestrial habitat. Intensive monitoring began in 1989 to assess the impact of the Reservoir on wildlife, provide a basis for adjusting site management, verify the effectiveness of cleanup actions, and provide a basis for modifying future monitoring. Monitoring continued until 2014, with modifications and management actions based on results of two risk assessments (1993 and 2000) Monitoring results in 2013 2014 showed that Se concentrations were relatively stable over time and risks to wildlife were low. From the initial problem discovery to the conclusion of actions taken to remediate the site, combining responsive, reactive, and adaptive monitoring; modeling; risk assessment, and mitigation actions proved effective in solving the problem so that risks to wildlife were reduced to minimal levels. This article is protected by copyright. All rights reserved.
Lifetime Prediction of IGBT Modules in Suspension Choppers of Medium/Low Speed Maglev Train Using an Energy Based Approach
Venue: IEEE Transactions on Power Electronics
Year: 2019

Maglev trains attracted to suspend above tracks without mechanical contact is a promising type of track transportation. Suspension choppers with levitation magnets resembling wheels of traditional trains or tires of automobiles are responsible for levitation and support of maglev trains. With successful launch of the first Chinese medium/low speed maglev line, lifetime prediction of power devices in suspension choppers becomes a crucial topic. This paper analyzes the lifetimes under two typical daily mission profiles of suspension choppers. Using look up tables of IGBT/diode losses, a widely used RC thermal network is established. A test rig is built to measure the IGBT/diode transient case temperature and extract the thermal impedance of a heat sink. Therefore, the junction temperatures under these typical mission profiles are estimated. Using comprehensive equations to describe solder behavior, the stress strain curves under different temperature profiles can be plotted by means of Clech's algorithm. Finally, an energy based approach is utilized for lifetime evaluation. The daily mission profile where maglev trains operate without landing during operation hours is expected to survive much longer.
Birds Have Four Legs? NumerSense: Probing Numerical Commonsense Knowledge of Pre trained Language Models
Venue: EMNLP
Year: 2020

Recent works show that pre trained language models (PTLMs) such as BERT, possess certain commonsense and factual knowledge. They suggest that it is promising to use PTLMs as "neural knowledge bases" via predicting masked words. Surprisingly, we find that this may not work for numerical commonsense knowledge (e.g. a bird usually has two legs) In this paper, we investigate whether and to what extent we can induce numerical commonsense knowledge from PTLMs as well as the robustness of this process. To study this, we introduce a novel probing task with a diagnostic dataset, NumerSense, containing 13.6k masked word prediction probes (10.5k for fine tuning and 3.1k for testing) Our analysis reveals that: (1) BERT and its stronger variant RoBERTa perform poorly on the diagnostic dataset prior to any fine tuning; (2) fine tuning with distant supervision brings some improvement; (3) the best supervised model still performs poorly as compared to human performance (54.06% vs 96.3% in accuracy)
Web conferencing based tutorials: student perceptions thereof and the effect on academic performance in accounting education
Year: 2018

This study explores undergraduate accounting students' perceptions of web conferencing based tutorials, in a developing country, South Africa. In addition, this study explores the effect of these tutorials on academic performance. Understanding the perceptions of students regarding the effectiveness of using web conferencing is both influential and critical to the success or failure of the integration of web conferencing in accounting education. In general, attendance of web conference based tutorials was found to positively and statistically significantly impact the students' academic performance, and the majority of the respondents agreed that regularly attending the web conferences and connecting with instructors improve their academic performance. These findings offer support for the continued use of web conferencing as a beneficial teaching and learning intervention. While this study is limited to a single site, the positive results of this study may encourage other instructors to explore web conferencing tutorials and enable subsequent multiple site investigations.
Model based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learning
Venue: ArXiv
Year: 2019

1 Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China 2 Research center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China Dong.Liang@siat.ac.cn 3 Department of Electronic Information Engineering, Nanchang University, Nanchang, Jiangxi, China 4 Departments of Biomedical Engineering and Electrical Engineering, University at Buffalo, the State University of
A novel algorithm for pipeline displacement and bending strain of in line inspection based on inertia measurement technology
Year: 2018

The in line inspection tool with Inertial Measurement Unit tool is becoming a routine and important practice for many pipeline companies and is effective for whole line bending strain measurement. However, the measurements of Inertial Measurement Unit tool are always affected by noises and errors, which are caused by inherent inaccuracies and deficiencies of the experimental techniques and measuring devices. For the calculations of the bending strain, the results are very sensitive to the noises and errors. A filtering algorithm based on cubic spline interpolation was proposed for Inertial Measurement Unit data processing to eliminate noises and errors for bending strain, and the effectiveness is validated through the pipeline field test. The results showed that the average pipeline displacement deviation declined 13.82% in the three tests, and the bending strain error reduced from 0.037% to 0.014% The proposed method effectively improves the inspection accuracy and provides an effective method for pipeline displacement and strain inspection, which ensures the safe operation of the pipeline.