nils-herrmann/clean_scirepeval huggingface dataset:
Data quality assessment for on line monitoring and measuring system of power quality based on big data and data provenance theory
Venue: 2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)
Year: 2018

Currently, on line monitoring and measuring system of power quality has accumulated a huge amount of data. In the age of big data, those data integrated from various systems will face big data application problems. This paper proposes a data quality assessment system method for on line monitoring and measuring system of power quality based on big data and data provenance to assess integrity, redundancy, accuracy, timeliness, intelligence and consistency of data set and single data. Specific assessment rule which conforms to the situation of on line monitoring and measuring system of power quality will be devised to found data quality problems. Thus it will provide strong data support for big data application of power quality.
Acoustic stress detection for improved navigation of educational videos
Venue: INTERSPEECH
Year: 2015

This paper presents a system that uses acoustic stress detection to identify important concepts in educational videos. The proposed system is part of a non linear navigation system that contains additional features like dynamic word cloud and 2 D timeline. An important feature of the word cloud is that the color used to represent the word depicts its spoken emphasis. This emphasis is estimated by quantifying the acoustic stress of each word. Stressed instances of a given word are also highlighted on the 2 D timeline using different colors. The primary focus of this paper is to detect words spoken with higher acoustic stress and provide an efficient means to navigate to corresponding instances. In the training phase, words are labeled manually as 'stressed' or 'unstressed' by speech experts. An SVM classifier is trained using three types of acoustic features: intensity based, pitch based and duration based. Considering the data imbalance in terms of the ratio of 'stressed' to 'unstressed' words, the performance achieved (70% correct detection at a false alarm rate of 19% is satisfactory. The usability studies show that the time taken to detect and navigate to stressed instances of words is significantly less (p 0.01) than that using a youtube type baseline system.
Monetary Policy and Household Inequality
Year: 2018

This paper considers how monetary policy produces heterogeneous effects on euro area households, depending on the composition of their income and on the components of their wealth. We first review the existing evidence on how monetary policy affects income and wealth inequality. We then illustrate quantitatively how various channels of transmission net interest rate exposure, inter temporal substitution and indirect income channels affect individual euro area households. We find that the indirect income channel has an overwhelming importance, especially for households holding few or no liquid assets. The indirect income channel is therefore also a substantial driver of changes in consumption at the aggregate level.
Paulo Coelho's The Alchemist as a Postmodern Text
Year: 2020

Literature has witnessed the appearance of many movements and approaches throughout the history. After World War II, particularly in the 1960s, postmodernism has come to surface and as an up to date movement, many eminent critics and cultural historians have turned their concerns and attention to it. This study examines the concept of postmodernism and it explores its main characteristics that appear in Paulo Coelho's The Alchemist (1986)
3D crosslinked tannic acid/poly(ethylene oxide) complex as a three in one multifunctional binder for high sulfur loading and high stability cathodes in lithium sulfur batteries
Venue: Energy Storage Materials
Year: 2019

Lithium sulfur (Li S) batteries with traditional PVDF binders suffer from low active material utilization, poor cycling stability and low sulfur loading, which remarkably hinders their practical application. To address these issues once for all, we developed a three in one multifunctional binder based on three dimensional (3D) crosslinked tannic acid (TA)/poly(ethylene oxide) (PEO) complex, wherein TA can drastically enhance the stability of PEO in electrolyte solution. As designed TA/PEO binder integrates multiple functions in one material: (1) greatly retard the shuttle effect, (2) effectively maintain cathodes integrity, (3) improve lithium ions transfer capacity, yet this point is often ignored in many existing binders. Benefiting from the above merits, even with a simple sulfur/carbon composite as cathode materials as a proof of concept, the assembled Li S batteries using the TA/PEO binder present a discharge capacity of 476.7 mA h g 1 over 1000 cycles at 0.2 C, much higher than that with the PVDF binder (only 30 mA h g 1 The corresponding capacity fade is approximately 0.03% superior to most reported binders. Even at a high sulfur loading of 5.0 mg cm 2 the cell delivers a capacity retention of 74.5% over 150 cycles. Additionally, the cathode preparation using our TA/PEO binder is an aqueous process, making it particularly promising for large scale manufacturing.
Estimating real world COVID 19 vaccine effectiveness in Israel
Venue: medRxiv
Year: 2021

The vaccination rollout of the COVID 19 in Israel has been highly successful compared to all other countries. By the end of January, a third of the population has already been administered at least one dose of the BNT162b2 vaccine. Efforts to estimate the true real world effectiveness of the vaccine have been hampered by disease dynamics and social economic discrepancies. Here, using counts of positive and hospitalized cases of vaccinated individuals, we provide sensitive estimations of the vaccine effectiveness by correcting to daily case incidence. We find high effectiveness of 66 85% in reducing SARS CoV 2 positive cases and over 90% in reducing severe hospitalizations. As more granular data will be available more it will be possible to extract more exact estimates; however, there is little doubt that the vaccine is highly effective in reducing cases, hospitalizations and deaths.
Quetiapine Attenuates the Neuroinflammation and Executive Function Deficit in Streptozotocin Induced Diabetic Mice
Venue: Mediators of inflammation
Year: 2019

Diabetic patients are at increased risk for developing memory and cognitive deficit. Prior studies indicate that neuroinflammation might be one important underlying mechanism responsible for this deficit. Quetiapine (QTP) reportedly exerts a significant neuroprotective effect in animal and human studies. Here, we investigated whether QTP could prevent memory deterioration and cognitive impairment in a streptozotocin (STZ induced diabetic mouse model. In this study, we found that STZ significantly compromised the behavioral performance of mice in a puzzle box test, but administering QTP effectively attenuated this behavioral deficit. Moreover, our results showed that QTP could significantly inhibit the activation of astrocytes and microglia in these diabetic mice and reduce the generation and release of two cytokines, tumor necrosis factor a (TNF a) and monocyte chemoattractant protein 1 (MCP 1) Meanwhile, QTP also prevented the protein loss of the synaptic protein synaptophysin (SYP) and myelin basic protein (MBP) Here, our results indicate that QTP could inhibit neuroinflammatory response from glial cells and block the injury of released cytokines to neurons and oligodendrocytes in diabetic mice (DM) These beneficial effects could protect diabetic mice from the memory and cognitive deficit. QTP may be a potential treatment compound to handle the memory and cognitive dysfunction in diabetic patients.
SpecPad: device independent NMR data visualization and processing based on the novel DART programming language and Html5 Web technology
Venue: Magnetic resonance in chemistry MRC
Year: 2017

SpecPad is a new device independent software program for the visualization and processing of one dimensional and two dimensional nuclear magnetic resonance (NMR) time domain (FID) and frequency domain (spectrum) data. It is the result of a project to investigate whether the novel programming language DART, in combination with Html5 Web technology, forms a suitable base to write an NMR data evaluation software which runs on modern computing devices such as Android, iOS, and Windows tablets as well as on Windows, Linux, and Mac OS X desktop PCs and notebooks. Another topic of interest is whether this technique also effectively supports the required sophisticated graphical and computational algorithms. SpecPad is device independent because DART's compiled executable code is JavaScript and can, therefore, be run by the browsers of PCs and tablets. Because of Html5 browser cache technology, SpecPad may be operated off line. Network access is only required during data import or export, e.g. via a Cloud service, or for software updates. A professional and easy to use graphical user interface consistent across all hardware platforms supports touch screen features on mobile devices for zooming and panning and for NMR related interactive operations such as phasing, integration, peak picking, or atom assignment.
Hierarchical Feature Degradation Based Blind Image Quality Assessment
Venue: 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
Year: 2017

Though blind image quality assessment (BIQA) is highly demanded for many image processing systems, it is extremely difficult for BIQA to accurately predict the quality without the guide of the reference image. In this paper, we introduce a novel BIQA method with hierarchical feature degradation (HFD) Since the human brain presents hierarchical procedure for visual recognition, we suggest that different levels of distortion generate different degradations on hierarchical features, and propose to consider the degradations on both the low and high level features for quality assessment. Inspired by the orientation selectivity (OS) mechanism in the primary visual cortex, an OS based local visual structure is designed for low level visual content extraction. Meanwhile, according to the feature integration function of deep neural networks, the deep semantics is extracted with the residual network for high level visual content representation. Next, by analyzing the degradation on both the local structure and the deep semantics, a HFD based memory (prior knowledge) is learned to represent the generalized quality degradation. Finally, with the guidance of the HFD based memory, a novel HFD BIQA model is built. Experimental results on the publicly available databases demonstrate the quality prediction accuracy of the proposed HFD BIQA, and verify that the HFD BIQA performs highly consistent with the subjective perception1.
The Efficacy of Text Messaging to Improve Social Connectedness and Team Attitude in Student Technical Communication Projects
Year: 2013

This experimental study investigates the impact of short messaging service (SMS) text messaging on social connectedness and group attitude in student technical communication projects. It also investigates message types and communication medium preferences. Using a between subjects design, the experiment compares two student groups: SMS only and non SMS. The results indicated several statistically significant differences. Compared to students in the non SMS group, students in the SMS only group (a) communicated more, (b) felt more connected, and (c) sent more questions, answers, and nonproject related messages. These results provide empirical evidence for using SMS in team contexts.
NTS NOTEARS: Learning Nonparametric Temporal DAGs With Time Series Data and Prior Knowledge
Venue: ArXiv
Year: 2021

We propose a score based DAG structure learning method for time series data that captures linear, nonlinear, lagged and instantaneous relations among variables while ensuring acyclicity throughout the entire graph. The proposed method extends nonparametric NOTEARS (Zheng et al. 2020) a recent continuous optimization approach for learning nonparametric instantaneous DAGs. The proposed method is faster than constraint based methods using nonlinear conditional independence tests. We also promote the use of optimization constraints to incorporate prior knowledge into the structure learning process. A broad set of experiments with simulated data demonstrates that the proposed method discovers better DAG structures than several recent comparison methods. We also evaluate the proposed method on complex real world data acquired from NHL ice hockey games containing a mixture of continuous and discrete variables. The code is available at https:/github.com/xiangyu sun 789/ NTS NOTEARS/
A Web Based Decision Support System for Predicting Readmission of Pneumonia Patients after Discharge
Venue: 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Year: 2018

Patient readmission may be attributed to unsuccessful treatments, new diseases, or worsening comorbidities, which manifest degraded healthcare quality and increased cost of a hospital. Clinical decision support systems (CDSSs) provide useful information and expert knowledge to improve diagnostic performance, treatment outcomes, and healthcare quality in clinical settings. The objectives of this study is to design a CDSS based on the data retrieved from the National Health Insurance Research Database (NHIRD) for assisting physicians in the identification of high risk patients of 30 day readmissions. A wrapper method integrating genetic algorithm (GA) and support vector machine (SVM) was used to designing the CDSSs by selecting salient features and designing the classifiers based on 2 under sampling methods and 3 objective functions. The accuracy, sensitivity, specificity, and area under ROC curve (AUC) of the CDSSs achieve 69.33 71.44% 66.27 69.41% 69.32 72.24% and 0.7518 0.7601, respectively, which outperform the models designed based on data retrieved from electronic medical records. An online web service system is provided to assist physicians for detecting potential pneumonia patients who have higher probability of all cause readmission after being discharged from hospitals, thereby giving them necessary interventions to reduce morbidities and mortalities and to reduce healthcare cost.
Public Debt Management between Discipline and Creativity: Accounting for Energy Performance Contracts in Germany
Year: 2019

>Offentliches Schuldenmanagement zwischen Disziplin und Kreativitat. Energie Einspar Contracting in Deutschland< The determination of government debt levels is a complex multilayered process subjected to constant reform. In the aftermath of the 2007 8 financial crisis, a twofold reform trend has emerged. On the one hand, the European Commission demands and supports stronger harmonization of national accounts, thereby eliminating loopholes for creative accounting practices such as public private partnerships or swap deals, which increase government debt levels in many cases. On the other hand, the European Commission demands and supports new forms of 'creative financing' such as Energy Performance Contracts (EPCs) a specific form of public private partnership designed to meet climate change investment goals. Adopting a lens of French Conventionalism, we highlight conflicts within statistic and accounting frameworks and their moral political trajectories. We derive insights into these broader conflicts by examining the concrete case of national statistics and public sector accounting practices in the German EPC field.
Why Can't a Family Business Be More Like a Nonfamily Business?
Year: 2011

The authors survey arguments that family firms should behave more like nonfamily firms and "professionalize." Despite the apparent advantages of this transition, many family firms fail to do so or do so only partially. The authors reflect on why this might be so, and the range of possible modes of professionalization. They derive six ideal types: (a) minimally professional family firms; (b) wealth dispensing, private family firms; (c) entrepreneurially operated family firms; (d) entrepreneurial family business groups; (e) pseudoprofessional, public family firms; and (f) hybrid professional family firms. The authors conclude with suggestions for further research that is attentive to such variation.
Maternal and child health service delivery in conflict affected settings: a case study example from Upper Nile and Unity states, South Sudan
Venue: Conflict and Health
Year: 2020

Decades of war left the Republic of South Sudan with a fragile health system that has remained deprived of resources since the country's independence. We describe the coverage of interventions for women's and children's health in Upper Nile and Unity states, and explore factors that affected service provision during a protracted conflict.  We conducted a case study using a desk review of publicly available literature since 2013 and a secondary analysis of intervention coverage and conflict related events from 2010 to 2017. During June through September 2018, we conducted 26 qualitative interviews with technical leads and 9 focus groups among health workers working in women and children's health in Juba, Malakal, and Bentiu.  Coverage for antenatal care, institutional delivery, and childhood vaccines were low prior to the escalation of conflict in 2013, and the limited data indicate that coverage remained low through 2017. Key factors that determined the delivery of services for women and children in our study sites were government leadership, coordination of development and humanitarian efforts, and human resource capacity. Participants felt that national and local health officials had a limited role in the delivery of services, and financial tracking data showed that funding stagnated or declined for humanitarian health and development programming during 2013 2014. Although health services were concentrated in camp settings, the availability of healthcare providers was negatively impacted by the protracted nature of the conflict and insecurity in the region.  Health care for women and children should be prioritized during acute and protracted periods of conflict by strengthening surveillance systems, coordinating short and long term activities among humanitarian and development organizations, and building the capacity of national and local government officials to ensure sustainability.
Conservation of oxygen and hydrogen seasonal isotopic signals in meteoric precipitation in groundwater: An experimental tank study of the effects of land cover in a summer monsoon climate
Year: 2020

reflect those in their source precipitation, which normally displays seasonal ranges of several to many permil. Normally there are substantial reductions in the groundwater isotopic ranges due to mixing in any vegetation, soil cover and the aquifer itself, plus the distortions that can be introduced by evaporation. Nevertheless, in carbonate karst regions (and others) many spring waters are found to preserve significant proportions of these seasonal signals. They are of current interest because they may also be detected in calcite speleothems precipitated from groundwater in caves, in calcretes and calcareous nodules in soils, etc. thus permitting detailed paleoclimate reconstructions. This paper presents some baseline data on reduction of isotope seasonal signals in groundwater that are pertinent to such speleothem studies. They are from artificial tank experiments at Shawan Karst Test Site, Guizhou, China. The climate is humid subtropical with mean annual precipitation of 1340 mm, >80% falling between May and October. The concrete tanks measure 20 x 5 m, 3 m deep each, point drained at one end to simulate a spring. They are filled with 2.5 m of local limestone quarry gravel, creating carbonate aquifers with primary porosities 50% A first tank is left bare, simulating the rocky desertification found in parts of the region. The other tanks are topped with 0.5 m of local, clay rich residual soil, one left bare, the other three sown with rainy season corn, permanent grass and permanent shrubs respectively. Measurements cover the three climatic years, November 2015 November 2018. 90% of the rainfall events were sampled, and the drains every ten days. d18O and dD in the rainfall displayed strong and regular sinusoidal oscillations with the successive seasons. In the bare rock tank these were reduced (damped) by 56~74% in the different years, with phase (time) lags of 127~134 days at the drain. In the soil topped tanks damping ranged from 61% to 93% and the time lags from 164 to 202 days: differences between them are not statistically significant but all do differ significantly from the bare rock. In all cases, the responses of the two isotopes were similar in direction and magnitude. The 0.5 m soil cover had the most important effect. The bare rock aquifer conserved the most information. Losses were similar in the four soil topped tanks, responding to stronger evaporation and obstruction of flow in the soil. These findings are briefly compared to seasonal isotope variations reported in speleothem drip waters in limestone caves in China and elsewhere in the world.
The Ecosystem of Software Platform: A Study of Asymmetric Cross Side Network Effects and Platform Governance
Venue: MIS Q.
Year: 2018

While past research on software platform has recognized the existence of cross side network effects (CNEs) between the application side and the user side, little is known about the asymmetry between the CNEs of the two sides on each other. Informed by a perspective of complex adaptive systems, this study theorizes how the user to application CNE is temporally different from the application to user CNE, and how these CNEs may be influenced by the governance mechanisms of the platform. We empirically test our theoretical arguments using a longitudinal data about a leading software browser. Our first main finding is the temporal asymmetry between the user to application CNE and the application to user CNE. Specifically, while the increased installed base of end users has a primarily long term impact on the growth of application number and variety, the increased number and variety of applications have primarily short term impacts on the growth of end users. Our second finding is that the length of application review time weakens the long term user to application effect, but not the short term application to user effect. Third, we also find that frequent platform updating can significantly weaken both the long term user to application CNE and the short term application to user CNE. Our study generates important theoretical and practical implications.
The literature review of technology adoption models and theories for the novelty technology
Year: 2017

This paper contributes to the existing literature by comprehensively reviewing the concepts, applications and development of technology adoption models and theories based on the literature review with the focus on potential application for the novelty technology of single platform E payment. These included, but were not restricted to, the Theory of Diffusion of Innovations (DIT) (Rogers, 1995) the Theory of Reasonable Action (TRA) (Fishbein and Ajzen, 1975) Theory of Planned Behavior (TPB) (Ajzen, 1985, 1991)  1995) the Technology Acceptance Model (TAM) (Davis, Bogozzi and Warshaw, 1989, Technology Acceptance Model 2 (TAM2) Venkatesh and Davis (2000) and Technology Acceptance Model 3 (TAM3) Venkatesh and Bala (2008) These reviews will shed some light and potential applications for technology applications for future researchers to conceptualize, distinguish and comprehend the underlying technology models and theories that may affect the previous, current and future application of technology adoption.