nils-herrmann/clean_scirepeval huggingface dataset:
Goal Based Manufacturing Gamification: Bolt Tightening Work Redesign in the Automotive Assembly Line

Recent productivity oriented technologies (e.g. industrial robots, assistive wearable tools) have more focused on production capacity rather than workers roles and experiences in the manufacturing process, and as a consequence, task have become simple and repetitive which is detrimental for work motivation. Researches have been conducted to improve worker's motivation and experience during this monotonous work (e.g. bolt tightening) and gamification has got attention as a useful way to improve worker's intrinsic motivation by augmenting playful goal and feedback to previous demotivating context. The present study aims at examining the effect of gamification for improving the worker's flow and emotional experience which are related with intrinsic motivation in the workplace. An empirical study was carried out by five participants. They were instructed to tighten bolts in three different interface conditions (e.g. default condition; reactive condition; and gamification condition) During the task, their flow level and emotional state were assessed by experience sampling method (ESM) The benefits of the manufacturing gamification in the worker's flow experience and positive emotion are also discussed.
ABSTRACT GESTURES AND ELEMENTAL PRESSURES

earth, and fire. Other counterpointing energies are in evidence: sound and silence, the abrasive verbal gesturing against the void of madness or death, and the literally ineffable 'heap of broken images' to borrow Eliot's words from The Waste Land, that this novel finally is. The symmetries of Pedro Paramo ensure its poeticity, and this article will attempt to limn the powerful vaguenesses of what must be one of the most evocative fictional works of the twentieth century. The initial dialogue betweenJuan Preciado, son of Pedro Paramo, and his mother Dolores hypostatizes four abstractions that have some claim to be the presiding fateful presences, or, better, absences of the novel. For these abstractions can only reap their full significance in terms of their poignant 'elsewhereness' El olvido en que nos tuvo, mi hijo, c6braselo caro. Asi lo hare madre. Pero no pense cumplir mi promesa. Hasta ahora pronto que comence a llenarme de suenos, a darle vuelo a las ilusiones. Y de este modo se me fue formando un mundo alrededor de la esperanza que era aquel sefior llamado Pedro Paramo, el marido de mi madre. (my italics)1 The association of'wingedness' in the phrase 'darle vuelo a' closely connects with the novel's elemental undertow that will be examined later. But even at this most early stage of the novel we witness the cancellation of the present and the hegemonic control of future 'suefios' 'ilusiones' 'esperanza' and past 'olvido' as presiding instances of deferral. Pedro Paramo is a novel that is immediately centrifugal, unma'king itself at every turn by its flight from the concrete and its gesturing towards absence and abstraction. Juan Preciado's reflection on his mother's instruction is nothing if not ethereal. Pedro Paramo is coincident with the abstract quality 'esperanza' invested in him. In like manner, when the muleteer Abundio, who is taking Juan Preciado to Comala, is asked who Paramo is, he responds, 'Un rencor vivo' (p. io) Pedro Paramo is not a spiteful man but the living instance of spite itself. There is a denudation of circumstantial description. It is as though particularized detail would interfere with the unmitigated fullness of the abstract quality. Even though the metaphor of hell is summoned up to evoke for us the ardent depths of Comala: 'Aquello esta sobre las brasas de la tierra, en la mera boca del infierno' (p. 9) it is nowhere as engulfing or complete as in the earlier more abstract description of horrific descent: 'Habiamos dejado el aire caliente alla arriba y nos ibamos hundiendo en el puro calor sin aire' (p. 9) The inverted symmetry of progression from 'aire caliente' to 'calor sin aire' is already alerting us to the dialectical operation of colliding elemental imagery in the text. Similarly, negative identification will 1Juan Rulfo, Pedro Paramo, twelfth edition (Mexico, D.F. 1973) p. 7. All further textual references to Pedro Pdramo are to this edition.
Inferring Intra Community Microbial Interaction Patterns from Metagenomic Datasets Using Associative Rule Mining Techniques
Venue: PloS one

The nature of inter microbial metabolic interactions defines the stability of microbial communities residing in any ecological niche. Deciphering these interaction patterns is crucial for understanding the mode/mechanism(s) through which an individual microbial community transitions from one state to another (e.g. from a healthy to a diseased state) Statistical correlation techniques have been traditionally employed for mining microbial interaction patterns from taxonomic abundance data corresponding to a given microbial community. In spite of their efficiency, these correlation techniques can capture only 'pair wise interactions' Moreover, their emphasis on statistical significance can potentially result in missing out on several interactions that are relevant from a biological standpoint. This study explores the applicability of one of the earliest association rule mining algorithm i.e. the 'Apriori algorithm' for deriving 'microbial association rules' from the taxonomic profile of given microbial community. The classical Apriori approach derives association rules by analysing patterns of co occurrence/co exclusion between various (subsets of) features/items' across various samples. Using real world microbiome data, the efficiency/utility of this rule mining approach in deciphering multiple (biologically meaningful) association patterns between 'subsets/subgroups' of microbes (constituting microbiome samples) is demonstrated. As an example, association rules derived from publicly available gut microbiome datasets indicate an association between a group of microbes (Faecalibacterium, Dorea, and Blautia) that are known to have mutualistic metabolic associations among themselves. Application of the rule mining approach on gut microbiomes (sourced from the Human Microbiome Project) further indicated similar microbial association patterns in gut microbiomes irrespective of the gender of the subjects. A Linux implementation of the Association Rule Mining (ARM) software (customised for deriving 'microbial association rules' from microbiome data) is freely available for download from the following link: http:/metagenomics.atc.tcs.com/arm.
Application of Graph Theory in Electrical Network

Graph theory is helpful in various practical problems solving in circuit or network analysis and data structure. It leads to graph practically not possible to analyze without the aid of computer. In electrical engineering the word is used for edge, node for vertex and loop for circuit. An electrical network is the set of electronic components i.e. resistors, inductors and capacitors etc. Electric network analysis and synthesis are the study of network topology. Electric network problem can be represented by drawing graphs. In this paper, we present a circuit network in the concept of graph theory application and how to apply graph theory to model the circuit network.
Did TARP Distort Competition Among Sound Unsupported Banks?

This study investigates if the Troubled Asset Relief Program (TARP) distorted price competition in U.S. banking. Political indicators reveal bailout expectations after 2009, manifested as beliefs about the predicted probability of receiving equity support relative to failing during the TARP disbursement period. In addition, the TARP affected the competitive conduct of unsupported banks after the program stopped in the fourth quarter of 2009. Loan rates were higher, and the risk premium required by depositors was lower for banks with higher bailout expectations. The interest margins of unsupported banks increased in the immediate aftermath of the TARP disbursement but not after 2010. No effects emerged for loan or deposit growth, which suggests that protected banks did not increase their market shares at the expense of less protected banks.
The Role of Customer Relationships Management in Achieving Competitive Advantage (A prospective study on a sample of employees at banks in Irbid city)

The aim of this study is to explains the role of customer relationship management (CRM) and how it affects the in the competition advantage at numbers of financial banks in the city of Irbid. The importance of this study comes in its theoretical and practical framework that present the role of (CRM) in the competition advantage. Also, point to some of the 21 century challenges. We may face inaccurate, complex, and unstable challenges; these will present dangerous affects that can be handled by depending on role of customer relationship management (CRM) to achieve high competitive advantages. A few numbers of studies has been done in banking services, especially in Arabic. Therefore, the role of (CRM) in getting high competitive advantages in banking services need more attention and work This study has been conducted using a questioner, which has been distributed on the study sample that contains (34) mangers and Head of department in different banks in Irbid, The questionnaire was distributed randomly, where (50) questionnaire were distributed, (34) of them found valid for statistical analysis. The study shows that qualified employees has appositive impact on getting competitive advantage. They improve relationships with current customers and attract new customers. Also, it shows strong relationships between CRM and competitive advantage. The researchers also recommended with the necessity of the researched banks adoption of the virtual model of the study as a work mechanism to develop the relation with the customers in order to achieve the competitive advantage, the concern of the current customers through delivering the service according to their needs and wants, as cost of acquiring new customer represents five folds of the cost of maintaining the current customers.
A Framework for Resolving Open World Referential Expressions in Distributed Heterogeneous Knowledge Bases
Venue: AAAI

We present a domain independent approach to reference resolution that allows a robotic or virtual agent to resolve references to entities (e.g. objects and locations) found in open worlds when the information needed to resolve such references is distributed among multiple heterogeneous knowledge bases in its architecture. An agent using this approach can combine information from multiple sources without the computational bottleneck associated with centralized knowledge bases. The proposed approach also facilitates "lazy constraint evaluation" i.e. verifying properties of the referent through different modalities only when the information is needed. After specifying the interfaces by which a reference resolution algorithm can request information from distributed knowledge bases, we present an algorithm for performing open world reference resolution within that framework, analyze the algorithm's performance, and demonstrate its behavior on a simulated robot.
Margin Squeeze: An Above Cost Predatory Pricing Approach

We provide a new legal perspective for the antitrust analysis of margin squeeze conducts. Building on recent economic analysis, we explain why margin squeeze conducts should solely be evaluated under adjusted predatory pricing standards. The adjustment corresponds to an increase in the cost benchmark used in the predatory pricing test by including opportunity costs due to missed upstream sales. This can reduce both the risks of false positives and false negatives in margin squeeze cases. We justify this approach by explaining why classic arguments against above cost predatory pricing typically do not hold in vertical structures where margin squeezes take place and by presenting case law evidence supporting this adjustment. Our approach can help to reconcile the divergent US and EU antitrust stances on margin squeeze.
Factores que Influyen en el Aprendizaje del Idioma Ingles de Nivel Inicial en una Universidad Chilena

espanolEl objetivo de este estudio es conocer el efecto que tienen el profesor, las herramientas de apoyo y la dependencia educacional de procedencia en el aprendizaje del ingles. El impacto se midio a traves de un estudio descriptivo correlacional, utilizando el Oxford Placement Online Test como pre y post a una muestra de 132 estudiantes de nivel inicial del idioma ingles de diversas carreras de la Universidad de Talca en Chile. Los estudiantes fueron divididos en cursos con tres herramientas de apoyo diferentes entre medicion. Los resultados indican que no hay diferencias significativas entre las herramientas de apoyo utilizadas en el rendimiento de los estudiantes. Tampoco se observa influencia al analizar la dependencia educacional de procedencia, siendo el profesor el unico factor que resulta relevante en este proceso. De esta forma se puede concluir que a pesar del desarrollo de sistemas computacionales para el aprendizaje, el profesor sigue siendo un factor determinante dentro de este ambito. EnglishThe aim of this study was to know the effects of the teacher, support tools and educational dependency on the process of teaching and learning of English. The impact was measured through a correlational descriptive study using the Oxford Placement Test as pre and post testing tool administered to a sample of 132 beginner level of English students, all belonging to different careers at the University of Talca in Chile. The results show no significant difference in the use of support tools or educational dependency in students' performance. It is the teacher who emerges as the only relevant factor in this process. Thus, it can be concluded that despite the development of computer systems for learning, the teacher continues to remain a determining factor in this area.
Florid Squamous Metaplasia and Keratin Cyst Formation in Palatal Minor Salivary Gland Tumor: A Diagnostic Challenge.

Pleomorphic adenoma (PA) is a benign epithelial neoplasm of salivary glands. It is the most common salivary gland tumor which accounts for 54 65% of all salivary gland neoplasias and 80% of the benign salivary gland tumors. It mostly affects the parotid gland, followed by the submandibular gland and the minor salivary glands. Myoepithelial cell, being capable of dedifferentiation, metaplasia and transdifferentiation has a key role in the genesis of these tumors. The histopathologic picture may show squamous, mucous, and sebaceous and oncocytic metaplasia, sometimes with the formation of extensive keratin filled cysts lined by squamous epithelium. Metaplastic process is mainly triggered by trauma and probable etiology is ischemia. Extensive metaplasia can be mistaken for malignancy either mucoepidermoid carcinoma or squamous cell carcinoma. An unusual case of pleomorphic adenoma presented as a solitary intraoral palatine mass in a 62 year old male is reported here in which extensive squamous metaplasia and keratin cyst formations was evident microscopically.
Commercial astaxanthin production derived by green alga Haematococcus pluvialis: A microalgae process model and a techno economic assessment all through production line

The freshwater green microalgal strain Haematococcus pluvialis is the richest source for the production of astaxanthin. Astaxanthin is member of the xanthophyll family of carotenoids and constitutes the highest value product derived by microalgae. So far, algal astaxanthin amounts to 3 /year and 23,793 m 3 /year are needed for the production of 426 kg/year and 143 kg/year astaxanthin in Livadeia and Amsterdam respectively. Regarding total energy needs, they were calculated at 751.2 MWh/year and 396.5 MWh/year for the Greek and the Dutch city respectively. With respect to the economic performance, a Profit and Loss (P&L) analysis was conducted applying three scenarios (worst base and best case) Determining CAPEX and annual OPEX, the return of investment (ROI) for different market prices of astaxanthin was calculated. It was found that only in Livadeia high economic viability can be achieved for all market prices. The costs per kilogram of natural astaxanthin for Livadeia and Amsterdam were calculated at EUR1536/kg ASTAX and EUR6403/kg ASTAX respectively (best case scenario) rendering natural astaxanthin unable to compete with the synthetic alternative (EUR880/kg ASTAX yet, at least for feeding purposes.
An Overview of the Gas Diffusion Layer in Proton Exchange Membrane Fuel Cells: How Its Nano structural Characteristics Affect Performance

Gas diffusion layer (GDL) is one of the critical components performing both as the operational as well as the support structure to membrane electrode assembly (MEA) in the proton exchange membrane (PEM) fuel cell. The role of the GDL is very important in the PEM fuel cell to render it commercially applicable. Structural variations in the GDL can effect physico chemical and mechanical properties and eventually power performance of the fuel cell. The optimization of the functional features of the GDL is possible just with comprehension the role of its key parameters such as structure, hydrophobicity/hydrophilicity, porosity, gas permeability, electrical conductivity. This paper presents an overview of effects of using nanosize materials to modify GDL structure. In addition, future prospects for new GDL developments are discussed.
A review of models for introducing computational thinking, computer science and computing in K 12 education
Venue: 2016 IEEE Frontiers in Education Conference (FIE)

Computer science is becoming ever increasingly important to our society. Computer science content has, however, not traditionally been considered a natural part of curricula for primary and secondary education. Computer science has traditionally been primarily a university level discipline and there are no widely accepted general standards for what computer science at K 12 level entails. Also, as the interest in this area is rather new, the amount of research conducted in the field is still limited. In this paper we review how 10 different countries have approached introducing computer science into their K 12 education. The countries are Australia, England, Estonia, Finland, New Zealand, Norway, Sweden, South Korea, Poland and USA. The studied countries either emphasize digital competencies together with programming or the broader subject of computer science or computing. Computational thinking is rarely mentioned explicitly, but the ideas are often included in some form. The most common model is to make computer science content compulsory in primary school and elective in secondary school. A few countries have made it compulsory in both, while some countries have only introduced it in secondary school.
Computer science in K 12 school curricula of the 2lst century: Why, what and when?
Venue: Education and Information Technologies

In this paper we have examined the position and roles of Computer Science in curricula in the light of recent calls for curriculum change and we have proposed principles and issues to consider in curriculum design as well as identifying priority areas for further research. The paper is based on discussions within and beyond the International Federation of Information Processing (IFIP) Education Community since 2012 as well as an analysis of curriculum developments in five different countries. Emerging themes have been discussed with reference to important perspectives from curriculum theory including "powerful knowledge" as a key element of entitlement and management of the growth of expertise. Based on this analysis we have identified areas of consensus as well as constraints, risks and issues that are still subject to controversy. There is an emerging consensus of the importance of Computer Science and the nature of its "powerful knowledge" Furthermore current understanding of the opportunities and benefits for starting to learn Computer Science early in primary schools has identified this early start as an entitlement and equity issue. There is a strong consensus that teacher professional development in Computer Science Education is critical for supporting curriculum change and is currently a major challenge in many countries. Other key issues include understanding how the growth of expertise affects potential structure and sequencing in the curriculum and the balance of content. Further considerations include how new technological opportunities interact with pedagogical approaches and can provide new potential for the growth of expertise.
Characterizing API Elements in Software Documentation with Vector Representation
Venue: 2016 IEEE/ACM 38th International Conference on Software Engineering Companion (ICSE C)

Software documentation is a very crucial resource for developers in understanding various aspects of software development process. A unique nature of such documentation is the presence of code elements embedded in natural language texts that explain their purposes, usages and mutual relations with others. Some recent work has explored that nature for different purposes such as discovering code elements in documents and generating summaries for classes and methods with context. However, none of the existing approaches is capable of further capturing semantic relations of code elements with related words and with other relevant APIs at the same time. In this paper, by considering an embedded API element as a word, we characterize this API via a low dimensional continuous vector that encodes information on many contexts in which that API appears as possible. Our empirical study shows that the vector representation learned from a large corpus of documentation is capable of capturing semantic relations between API elements and words. That is, APIs with similar functionalities have similar embeddings; and APIs and related words are close to each other in the vector space without explicit textual matching. Our experiment also suggests that the proposed representation for embedded API elements has a promising application in API code search.
Impact of service quality on customer satisfaction in private and public sector banks

In today's world, with increased competition, service quality has become one of the most popular areas of academic investigation. The purpose of this paper is to examine the impact of various service quality variables on the overall satisfaction of customers and compare the private and public sector banks using a sample from India.  With the help of forward stepwise regression, the authors explain how a variety of variables are both negatively and positively influencing customer satisfaction. The authors collected data from 500 respondents in India; 250 of which were customers of private sector banks, and 250 of which were customers of public sector banks. The authors had a response rate of 65 percent.  In the case of private sector banks, knowledge of products, response to need, solving questions, fast service, quick connection to the right person, and efforts to reduce queuing time were found to be the factors that are positively associated with overall s.
Impact of Service Quality on Customer Satisfaction in Public Sector and Private Sector Banks

Service Quality in banking sector is the most important criteria and asset for evaluating and satisfying customers and thereby increases the customer loyalty and average retention rate of customers. Among the service quality determinants, reliability, assurance and empathy have always played a pivotal role. Prior research suggests that customer perceptions and expectations are more likely to be different across service sectors. Hence, this paper examines the effect of service quality determinants on the degree of customer satisfaction in public and private banks in India. By realizing the gap between the perceived and actual service quality, customer satisfaction can be extremely improved