nils-herrmann/clean_scirepeval huggingface dataset:
Multimedia Pivot Tables for Multimedia Analytics on Image Collections
Venue: IEEE Transactions on Multimedia

We propose a multimedia analytics solution for getting insight into image collections by extending the powerful analytic capabilities of pivot tables, found in the ubiquitous spreadsheets, to multimedia. We formalize the concept of multimedia pivot tables and give design rules and methods for the multimodal summarization, structuring, and browsing of the collection based on these tables, all optimized to support an analyst in getting structural and conclusive insights. Our proposed solution provides truly interactive analytics on the visual content of image collections through concept detection results, as well as tags, geolocation, time, and other metadata. We have performed user experiments with novice users on a dataset from Flickr to improve the initial design and with expert users in marketing and multimedia analysis on two domain specific datasets collected from Instagram. The results show that analysts are indeed capable of deriving structural and conclusive insights using the proposed multimedia analytics solution. On our website, videos of the system in action are available.
Comparing the Publication Process in Accounting, Economics, Finance, Management, Marketing, Psychology, and the Natural Sciences

I present two types of data about the publication and review process in the accounting, economics, finance, management, marketing, psychology, and natural science disciplines. First, I collect all articles published in 2012 in top tier journals of these disciplines and compare the articles based on word counts, figures, and tables included in each article, the time it took to be published, citations, the number of co authors, and submission fees. I then survey academics in each discipline. Survey questions were designed to evaluate overall perceptions of the review process, changes in the review process in the last five years, opinions about appropriate acceptance rates, assessment of reviewers and editors, and general assessments of reviewers and the review process, faculty evaluation, and journals. While there are many results, key results for the accounting discipline include very low citation patterns relative to other disciplines, a belief that reviewers have not improved in the last five y.
A Pharmacovigilance Approach for Post Marketing in Japan Using the Japanese Adverse Drug Event Report (JADER) Database and Association Analysis
Venue: PloS one

Rapid dissemination of information regarding adverse drug reactions is a key aspect for improving pharmacovigilance. There is a possibility that unknown adverse drug reactions will become apparent through post marketing administration. Currently, although there have been studies evaluating the relationships between a drug and adverse drug reactions using the JADER database which collects reported spontaneous adverse drug reactions, an efficient approach to assess the association between adverse drug reactions of drugs with the same indications as well as the influence of demographics (e.g. gender) has not been proposed.  We utilized the REAC and DEMO tables from the May 2015 version of JADER for patients taking antidepressant drugs (SSRI, SNRI, and NaSSA) We evaluated the associations using association analyses with an apriori algorithm. Support, confidence, lift, and conviction were used as indicators for associations. The highest score in adverse drug reactions for SSRI was obtained for "aspartate aminotransferase increased" "alanine aminotransferase increased" with values of 0.0059, 0.93, 135.5, and 13.9 for support, confidence, lift and conviction, respectively. For SNRI, "international normalized ratio increased" "drug interaction" were observed with 0.0064, 1.00, 71.9, and NA. For NaSSA, "anxiety" "irritability" were observed with 0.0058, 0.80, 49.9, and 4.9. For female taking SSRI, the highest support scores were observed in "twenties" "suicide attempt" whereas "thirties" "neuroleptic malignant syndrome" were observed for male. Second, for SNRI, "eighties" "inappropriate antidiuretic hormone secretion" were observed for female, whereas "interstitial lung disease" and "hepatitis fulminant" were for male. Finally, for NaSSA, "suicidal ideation" was for female, and "rhabdomyolysis" was for male.  Different combinations of adverse drug reactions were noted between the antidepressants. In addition, the reported adverse drug reactions differed by gender. This approach using a large database for examining the associations can improve safety monitoring during the post marketing phase.
Software Keyphrase Extraction with Domain Specific Features
Venue: 2016 International Conference on Advanced Computing and Applications (ACOMP)

Despite the fact that keyphrase is widely used as a brief summary to represent documents, most keyphrase extraction is only focused on arbitrary text. However, many document types have specific behavior which require particular pre processing in order to extract keyphrases. In software domain, keyphrases can only be extracted by utilizing reverse engineering approach and applying several conversion rules. This paper proposes a mechanism to extract software keyphrases with domain specific features. For our case study, our proposed method is applied to Java Archive, a distributional form of Java binaries. Besides pre processing and conversion rules, our method also utilizes the combination of supervised and unsupervised keyphrase extraction approach to exploit the benefits of both approaches. Furthermore, in order to extract keyphrase pattern more accurately, software related features are also incorporated besides standard keyphrase extraction features. These features are software structure, software related natural language text, and software term association. Based on overall evaluation, our proposed method yields moderate R precision. Thus, our approach is quite considerable to be applied for extracting software keyphrase.
The Improvements of Text Rank for Domain Specific Key Phrase Extraction

TextRank is a common method to extract keyphrases which are important for many tasks of Natural Language Processing. Although Term Frequency and Inverse Document Frequency (TFIDF) is used to calculate the node weight in improved TextRank method for Keyphrase extraction in previous work, it performs poorly when extracting domain specific keyphrase. In this paper, we introduce Average Term Frequency(ATF) and Document Frequency(DF) to calculate the node weight. Further, we incorporate node weights and semantic relationship of two words into a new method Hybrid TextRank for extracting Keyphrase from specific domain. When using these improvements approaches to extract keyphrases from a Tibetan religion domain, experiments demonstrate that hybrid TextRank is better than the others and its precisions of Top 10, 20, 30 words reach 90% 85% 80%
Speeding up Semantic Segmentation for Autonomous Driving

Deep learning has considerably improved semantic image segmentation. However, its high accuracy is traded against larger computational costs which makes it unsuitable for embedded devices in self driving cars. We propose a novel deep network architecture for image segmentation that keeps the high accuracy while being efficient enough for embedded devices. The architecture consists of ELU activation functions, a SqueezeNet like encoder, followed by parallel dilated convolutions, and a decoder with SharpMask like refinement modules. On the Cityscapes dataset, the new network achieves higher segmentation accuracy than other networks that are tailored to embedded devices. Simultaneously the frame rate is still sufficiently high for the deployment in autonomous vehicles.
The Role of Public Relations in Deliberative Systems

This article reframes public relations' contribution to democracy in light of the recent turn to deliberative systems in democratic theory. I consider the problematic that public relations poses to normative models of deliberative democracy, and how that problematic has been addressed in public relations theory thus far. I suggest that deliberative systems provide a more robust basis for theorizing public relations' role in deliberation and propose an analytical approach for understanding the complex and sometimes contradictory role of public relations in deliberative democracy. The framework provides a starting point for locating public relations' engagement in deliberative systems and evaluating its effects.
Nondestructive Materials Characterization in 3D by Laboratory Diffraction Contrast Tomography Applications and Future Directions
Venue: Microscopy and Microanalysis

The majority of metallic and ceramic engineering materials of interest are polycrystalline. The properties of these materials can be significantly affected by behaviour at the length scale of the crystalline grain structure. The ability to characterise this crystallographic microstructure, non destructively and in threedimensions, is thus a powerful tool for understanding many facets of materials performance.
Virtual Peer Effects in Social Learning Theory

The current study examines the differential influence of face to face and virtual peers in predicting digital and traditional offending among college students through the lens of social learning theory (SLT) SLT components are explored to discern whether the theory holds for virtual peers, as it has for face to face peers using a structural equation modeling framework, thus making a substantial contribution to the social learning literature. Findings provide some support for SLT for both virtual only peers and the face to face peers model in relation to digital as well as traditional offending. In addition, findings suggest that virtual peer associations may be as important as traditional peer associations in explaining certain types of deviant behavior.
Novel Method for Interstory Drift Measurement of Building Frames Using Laser Displacement Sensors

AbstractInterstory drift measurement is a critical parameter for determining earthquake damages in civil engineering structures. It can be measured using global positioning systems (GPS) accelerometers, LVDTs, and so forth. Each of these methods has limitations in terms of accuracy, cost, installation, and so on. In this study, a novel, laser based in situ interstory drift measurement setup is proposed and tested on a shake table on which the laser sensors were mounted in the frame to measure interstory drift without any reference frame. The in situ measurements are compared with measurements from reference lasers, which are mounted on a frame separate from the structure.
High resolution flying PIV with optical fiber laser delivery

Implementation of non intrusive optical measurement techniques, such as particle image velocimetry (PIV) in harsh environments requires specialized techniques for introducing controlled laser sheets to the region of interest. Large earthquake shake tables are a particularly challenging environment. Lasers must be mounted away from the table, and the laser sheet has to be delivered precisely and stably to the measurement station. Here, high power multi mode step index fiber optics enable introduction of light from an Nd:YLF pulsed laser to a remote test section. Such lasers are suitable for coupling to optical fibers, which presents a portable, flexible, and safe manner to deliver a PIV light sheet. Best practices for their implementation are reviewed. Particular attention is focused on obtaining a collimated beam of acceptable quality at the output of the fiber. To achieve high spatial resolution, the PIV camera is directly mounted on the moving shake table with care to minimize its vibrations. A special arrangement of PIV planes is deployed for precise in situ PIV alignment and to monitor and account for residual structure vibrations and beam wandering. The design of the instruments is detailed. Here, an experimental facility for the study of nuclear fuel bundle response to seismic forcing near prototypical conditions is instrumented. Only through integration of a high resolution flying PIV system can velocity fields be acquired. Data indicate that in the presence of a mean axial flow, a secondary oscillatory flow develops as the bundle oscillates. Instantaneous, phase averaged, and fluctuating velocity fields illustrate this phenomenon.
Development of a new rapid, relevant and reliable (R3) test method to evaluate the pozzolanic reactivity of calcined kaolinitic clays

The present paper introduces a new rapid, relevant and reliable (R 3 test to predict the pozzolanic activity of calcined clays with kaolinite contents ranging from 0 to 95% The test is based on the correlation between the chemical reactivity of calcined clays in a simplified system and the compressive strength of blends in standard mortar. The simplified system consists of calcined clay portlandite and limestone pastes with sulfate and alkali levels adjusted to reproduce the reaction environment of hydrating blended cements. The pastes were hydrated for 6 days at 20 degC or for 1 day at 40 degC. The chemical reactivity of the calcined clay can be obtained first by measurement of the heat release during reaction using isothermal calorimetry and second by bound water determination in a heating step between 110 degC and 400 degC. Very good correlations were found between the mortar compressive strength and both measures of chemical reactivity.
The relationships between corporate social responsibility, environmental supplier development, and firm performance

This research is intended to deepen our understanding of environmental supplier development (ESD) which is the development of suppliers to manufacturers for the purpose of environmental performance. Corporate social responsibility (CSR) is examined as the precedent of ESD. The impact of ESD on firm performance is examined as well. Using the survey method, 314 responses were collected from Turkish manufacturing plants with more than 250 employees. A partial least square structural equation model (PLS SEM) was constructed to test both the reliability and validity of measurement and the structural model. The results indicate that CSR is positively related to ESD and that ESD has a positive influence on the financial performance and competitive advantage of the participating firms. The effects of size and sector were analyzed. It was discovered that while larger firms are slightly more sensitive to CSR, all the links are significant in both group 1 (250 400) and group 2 >400) However the relationship between CSR and ESD was not significant in heavy industries as compared to the sectors of consumer products, textiles, and chemicals. It is possible that heavy industries (i.e. metal casting) that are somewhat away from the public eye put little emphasis on CSR, or that they may have other reasons as they develop their suppliers. Firms can be encouraged to practice CSR and ESD by being exposed to the performance benefits. To the best of our knowledge, this study is the first to test these specific relationships.
Detection of Combined Gear Bearing Fault in Single Stage Spur Gear Box Using Artificial Neural Network

Gears and bearings are important components of almost every machines used in industrial environment. Hence detection of defect in any of these must be detected in advance to avoid catastrophic failure. This paper aims to address the effect of bearing defect on gear vibration signature and effect gear defect on bearing vibration signature. Also its purpose is to make vibration analysis of single stage spur gear box, when both gear and bearing are defective. A condition monitoring set up is designed for analyzing the defect in outer race of bearing and damaged tooth of gear. MATLAB is used for feature extraction and neural network is used for diagnosis. In the literature, many authors have analyzed defects in bearings and gears separately. But it is found that the real situation may be more complex. The work presents a laboratory investigation carried out through an experimental set up for the study of combined gear bearing fault. This paper proposes a novel approach of damage detection in which defects in multiple components are analyzed using vibration signal.
Accuracy of Continuous Glucose Monitoring (CGM) during Continuous and High Intensity Interval Exercise in Patients with Type 1 Diabetes Mellitus
Venue: Nutrients

Continuous exercise (CON) and high intensity interval exercise (HIIE) can be safely performed with type 1 diabetes mellitus (T1DM) Additionally, continuous glucose monitoring (CGM) systems may serve as a tool to reduce the risk of exercise induced hypoglycemia. It is unclear if CGM is accurate during CON and HIIE at different mean workloads. Seven T1DM patients performed CON and HIIE at 5% below (L) and above (M) the first lactate turn point (LTP1) and 5% below the second lactate turn point (LTP2) (H) on a cycle ergometer. Glucose was measured via CGM and in capillary blood (BG) Differences were found in comparison of CGM vs. BG in three out of the six tests (p 0.05) In CON, bias and levels of agreement for L, M, and H were found at: 0.85 3.44, 5.15) mmol*L 1, 0.45 3.95, 3.05) mmol*L 1, 0.31 8.83, 8.20) mmol*L 1 and at 1.17 2.06, 4.40) mmol*L 1, 0.11 5.79, 6.01) mmol*L 1, 1.48 2.60, 5.57) mmol*L 1 in HIIE for the same intensities. Clinically acceptable results (except for CON H) were found. CGM estimated BG to be clinically acceptable, except for CON H. Additionally, using CGM may increase avoidance of exercise induced hypoglycemia, but usual BG control should be performed during intense exercise.
Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions
Venue: AAAI

What capabilities are required for an AI system to pass standard 4th Grade Science Tests? Previous work has examined the use of Markov Logic Networks (MLNs) to represent the requisite background knowledge and interpret test questions, but did not improve upon an information retrieval (IR) baseline. In this paper, we describe an alternative approach that operates at three levels of representation and reasoning: information retrieval, corpus statistics, and simple inference over a semi automatically constructed knowledge base, to achieve substantially improved results. We evaluate the methods on six years of unseen, unedited exam questions from the NY Regents Science Exam (using only non diagram, multiple choice questions) and show that our overall system's score is 71.3% an improvement of 23.8% (absolute) over the MLN based method described in previous work. We conclude with a detailed analysis, illustrating the complementary strengths of each method in the ensemble. Our datasets are being released to enable further research.
Emerging functional chiral microporous materials: synthetic strategies and enantioselective separations

In recent years, chiral microporous materials with open pores have attracted much attention because of their potential applications in enantioselective separation and catalysis. This review summarizes the recent advances on chiral microporous materials, such as metal organic frameworks (MOFs) hydrogen bonded organic frameworks (HOFs) and covalent organic frameworks (COFs) We will introduce the synthetic strategies in detail and highlight the current status of chiral microporous materials on solid enantioselective adsorption, chiral chromatography resolution and membrane separation.
Additive manufacturing of optical components

The development of additive manufacturing methods has enlarged rapidly in recent years. Thereby, the work mainly focuses on the realization of mechanical components, but the additive manufacturing technology offers a high potential in the field of optics as well. Owing to new design possibilities, completely new solutions are possible. This article briefly reviews and compares the most important additive manufacturing methods for polymer optics. Additionally, it points out the characteristics of additive manufactured polymer optics. Thereby, surface quality is of crucial importance. In order to improve it, appropriate post processing steps are necessary (e.g. robot polishing or coating) which will be discussed. An essential part of this paper deals with various additive manufactured optical components and their use, especially in optical systems for shape metrology (e.g. borehole sensor, tilt sensor, freeform surface sensor, fisheye lens) The examples should demonstrate the potentials and limitations of optical components produced by additive manufacturing.
Techniques for determining contact angle and wettability of powders

This review summarizes some common methods for determining the wettability of powders, especially the contact angle that a liquid would form on powders. The sessile drop, Wilhelmy plate and liquid penetration methods are then briefly compared, especially on the advantages and disadvantages of these techniques. The later part of the review summarizes some experimental details in determining wettability of powders utilizing liquid penetration into a packed column or the Washburn capillary rise (WCR) method based on liquid mass uptake. The discussion is focused on the selection of capillary tube for packing, bottom support, powder properties, reference wetting liquid, and packing method. How each of these parameters influences mass uptake and subsequent wettability determination are also presented, followed with the applicability of mass based WCR for determining the wettability of some powders. The intent of this review is to provide researchers a guide on the proper selection of the method and then the associated details when they apply the mass based WCR experiments for deducing the wettability information of the powders of interest.
Apparent contact angle and contact angle hysteresis on liquid infused surfaces.
Venue: Soft matter

We theoretically investigate the apparent contact angle and contact angle hysteresis of a droplet placed on a liquid infused surface. We show that the apparent contact angle is not uniquely defined by material parameters, but also has a dependence on the relative size between the droplet and its surrounding wetting ridge formed by the infusing liquid. We derive a closed form expression for the contact angle in the limit of vanishing wetting ridge, and compute the correction for small but finite ridge, which corresponds to an effective line tension term. We also predict contact angle hysteresis on liquid infused surfaces generated by the pinning of the contact lines by the surface corrugations. Our analytical expressions for both the apparent contact angle and contact angle hysteresis can be interpreted as 'weighted sums' between the contact angles of the infusing liquid relative to the droplet and surrounding gas phases, where the weighting coefficients are given by ratios of the fluid surface tensions.
Prediction of contact angle for hydrophobic surface fabricated with micro machining based on minimum Gibbs free energy

When an interface exists between a liquid and a solid, the angle between the surface of the liquid and the outline of the contact surface is described as the contact angle. The size of the contact angle is the metrics of the hydrophobicity of the surface. The prediction of the contact angle has significant effect on the design of hydrophobic surface and improvement of hydrophobicity. In this paper, a prediction model for contact angle has been proposed based on minimum Gibbs free energy. It considers the effects of unilateral force and area constraints of the droplets. The effect of micro structural parameters on contact angle has also been investigated. Micro milling experiments have been conducted to fabricate the hydrophobic surface in order to validate the predictive capability of the contact angle model. Results revealed that the established prediction model could estimate the contact angle of hydrophobic surface. The contact angle could be increased by increasing concave width or reducing convex. The outcome of this research will lead to new methodologies for preparing hydrophobic surfaces with micro machining technology.