nils-herrmann/clean_scirepeval huggingface dataset:
Disentangling country of origin effects: the interplay of product ethnicity, national identity, and consumer ethnocentrism

The country of origin (COO) of products has been shown to affect consumer choice, especially in situations where the origin has a stereotypical association with particular products and depending on certain consumer traits (e.g. national identity, consumer ethnocentrism) However, little is known about how these phenomena are related. Two controlled experiments conducted in two different countries and product categories reveal that product ethnicity moderates the impact of national identity but not of consumer ethnocentrism. National identity is found to influence consumer preference only if the foreign product ethnicity is higher but not lower than that of comparable domestic products. Furthermore, while consumers with a low national identity are positively affected by a high product ethnicity of foreign products, this effect vanishes with increasing levels of national identity. This research has implications for academics and practitioners alike, as it examines important boundary conditions of country of origin effects that have been undiscovered so far.
A QoC Aware Discovery Service for the Internet of Things
Venue: UCAmI

The Internet of Things (IoT) is an emergent paradigm characterized by a plethora of smart objects connected to the Internet. An inherent characteristic of IoT is the high heterogeneity and the wide distribution of objects, thereby calling for ways to describe in an unambiguous and machine interpretable way the resources provided by objects, their properties, and the services they offer. In this context, discovery services play a significant role as they allow clients (middleware platforms, end users, applications) to retrieve available resources based on appropriate search criteria, such as resource type, capabilities, location, and Quality of Context (QoC) parameters. To cope with these concerns, we introduce QoDisco, a QoC aware discovery service relying on multiple attribute searches, range queries, and synchronous/asynchronous operations. QoDisco also comprises an ontology based information model for semantically describing resources, services, and QoC related information. In this paper, we describe the QoDisco architecture and information model as well as an evaluation of the search procedure in an urban air pollution monitoring scenario.
Coarse grained Argumentation Features for Scoring Persuasive Essays
Venue: ACL

Scoring the quality of persuasive essays is an important goal of discourse analysis, addressed most recently with highlevel persuasion related features such as thesis clarity, or opinions and their targets. We investigate whether argumentation features derived from a coarse grained argumentative structure of essays can help predict essays scores. We introduce a set of argumentation features related to argument components (e.g. the number of claims and premises) argument relations (e.g. the number of supported claims) and typology of argumentative structure (chains, trees) We show that these features are good predictors of human scores for TOEFL essays, both when the coarsegrained argumentative structure is manually annotated and automatically predicted.
Understanding the effect of laser scan strategy on residual stress in selective laser melting through thermo mechanical simulation

Selective laser melting (SLM) is an attractive technology, enabling the manufacture of customised, complex metallic designs, with minimal wastage. However, uptake by industry is currently impeded by several technical barriers, such as the control of residual stress, which have a detrimental effect on the manufacturability and integrity of a component. Indirectly, these impose severe design restrictions and reduce the reliability of components, driving up costs. This paper uses a thermo mechanical model to better understand the effect of laser scan strategy on the generation of residual stress in SLM. A complex interaction between transient thermal history and the build up of residual stress has been observed in the two laser scan strategies investigated. The temperature gradient mechanism was discovered for the creation of residual stress. The greatest stress component was found to develop parallel to the scan vectors, creating an anisotropic stress distribution in the part. The stress distribution varied between laser scan strategies and the cause has been determined by observing the thermal history during scanning. Using this, proposals are suggested for designing laser scan strategies used in SLM.
Effects of thermo diffusion and thermal radiation on Williamson nanofluid over a porous shrinking/stretching sheet

This present study describes the combine effects of thermo diffusion and thermal radiation on Williamson nanofluid over a porous stretching sheet. Similarity transformation variables have been used to model the governing equations of momentum, energy, solute, and nanoparticle concentration. Successive linearization method (SLM) and Chebyshev spectral collocation method (CSC) are applied to solve the resulting coupled ordinary nonlinear differential equations. The numerical comparison has also presented for skin friction coefficient and local Nusselt number as a special case for our study. Physical features for all the pertinent parameters such as porosity parameter, Prandtl number, radiation parameter, Lewis number, modified Dufour parameter, Brownian motion parameter, thermophoresis parameter, Dufour solute Lewis number, nano Lewis number and Williamson fluid parameter are discussed with the help of graphs. Numerical results of local Nusselt number, Sherwood number are also presented with the help of tables.
Characterization of Encrypted and VPN Traffic using Time related Features
Venue: ICISSP

Traffic characterization is one of the major challenges in today's security industry. The continuous evolution and generation of new applications and services, together with the expansion of encrypted communications makes it a difficult task. Virtual Private Networks (VPNs) are an example of encrypted communication service that is becoming popular, as method for bypassing censorship as well as accessing services that are geographically locked. In this paper, we study the effectiveness of flow based time related features to detect VPN traffic and to characterize encrypted traffic into different categories, according to the type of traffic e.g. browsing, streaming, etc. We use two different well known machine learning techniques (C4.5 and KNN) to test the accuracy of our features. Our results show high accuracy and performance, confirming that time related features are good classifiers for encrypted traffic characterization.
A Survey of Mobile VPN Technologies
Venue: IEEE Communications Surveys Tutorials

Virtual private network (VPN) is the traditional approach for an end to end secure connection between two endpoints. Most existing VPN solutions are intended for wired networks with high speed, highly reliable connections. In a mobile environment, these network connections are less reliable. This affects traditional VPN performance resulting in frequent application failure, data loss, and reduced productivity. Mobile VPN bridges the gap between what users and applications expect from a wired network and the realities of mobile computing. In this survey, we provide a taxonomy of VPN designs, present a study of existing mobile VPN solutions, and highlight the advantages and disadvantages and applications of these methods.
The romance of work: Gender and aspirational labour in the digital culture industries

Despite widespread interest in the changing technologies, economies and politics of creative labour, much of the recent cultural production scholarship overlooks the social positioning of gender. This article draws upon in depth interviews with 18 participants in highly feminized sites of digital cultural production (e.g. fashion, beauty and retail) to examine how they articulate and derive value from their passionate activities. I argue that the discourses of authenticity, community building and brand devotion that they draw on are symptomatic of a highly gendered, forward looking and entrepreneurial enactment of creativity that I term 'aspirational labour' Aspirational labourers pursue productive activities that hold the promise of social and economic capital; yet the reward system for these aspirants is highly uneven. Indeed, while a select few may realize their professional goals namely to get paid doing what they love this worker ideology obscures problematic constructions of gender and class subjectivities.
Perils of being close to a bad leader in a bad environment: Exploring the combined effects of despotic leadership, leader member exchange, and perceived organizational politics on behaviors

Using social exchange theory, we propose a three way interaction of despotic leadership, leader member exchange (LMX) and perceived organizational politics (POP) to predict employee job performance, organizational citizenship behaviors (OCBs) and creativity. Using two source field data (N 480) with independent measures for predictors (self reports) and outcomes (peer reports) we tested our hypotheses using moderated regression analyses. The results indicate that despotic leadership is negatively related to the three employee outcomes, and that the effects are stronger under conditions of high LMX or high POP. A three way interaction suggests that the negative relationship between despotic leadership and the three dependent variables is strongest when both LMX and POP are high. Our study addresses an important and unexplored area of the dark side of leadership and its interplay with perceived politics and LMX to better predict important outcomes in a new cultural setting.
Testing the potential of a ribosomal 16S marker for DNA metabarcoding of insects
Venue: PeerJ

Cytochrome c oxidase I (COI) is a powerful marker for DNA barcoding of animals, with good taxonomic resolution and a large reference database. However, when used for DNA metabarcoding, estimation of taxa abundances and species detection are limited due to primer bias caused by highly variable primer binding sites across the COI gene. Therefore, we explored the ability of the 16S ribosomal DNA gene as an alternative metabarcoding marker for species level assessments. Ten bulk samples, each containing equal amounts of tissue from 52 freshwater invertebrate taxa, were sequenced with the Illumina NextSeq 500 system. The 16S primers amplified three more insect species than the Folmer COI primers and amplified more equally, probably due to decreased primer bias. Estimation of biomass might be less biased with 16S than with COI, although variation in read abundances of two orders of magnitudes is still observed. According to these results, the marker choice depends on the scientific question. If the goal is to obtain a taxonomic identification at the species level, then COI is more appropriate due to established reference databases and known taxonomic resolution of this marker, knowing that a greater proportion of insects will be missed using COI Folmer primers. If the goal is to obtain a more comprehensive survey the 16S marker, which requires building a local reference database, or optimised degenerated COI primers could be more appropriate.
Total HIV 1 DNA, a Marker of Viral Reservoir Dynamics with Clinical Implications
Venue: Clinical Microbiology Reviews

HIV 1 DNA persists in infected cells despite combined antiretroviral therapy (cART) forming viral reservoirs. Recent trials of strategies targeting latent HIV reservoirs have rekindled hopes of curing HIV infection, and reliable markers are thus needed to evaluate viral reservoirs. Total HIV DNA quantification is simple, standardized, sensitive, and reproducible. Total HIV DNA load influences the course of the infection and is therefore clinically relevant. In particular, it is predictive of progression to AIDS and death, independently of HIV RNA load and the CD4 cell count. Baseline total HIV DNA load is predictive of the response to cART. It declines during cART but remains quantifiable, at a level that reflects both the history of infection (HIV RNA zenith, CD4 cell count nadir) and treatment efficacy (residual viremia, cumulative viremia, immune restoration, immune cell activation) Total HIV DNA load in blood is also predictive of the presence and severity of some HIV 1 associated end organ disorders. It can be useful to guide individual treatment, notably, therapeutic de escalation. Although it does not distinguish between replication competent and defective latent viruses, the total HIV DNA load in blood, tissues, and cells provides insights into HIV pathogenesis, probably because all viral forms participate in host cell activation and HIV pathogenesis. Total HIV DNA is thus a biomarker of HIV reservoirs, which can be defined as all infected cells and tissues containing all forms of HIV persistence that participate in pathogenesis. This participation may occur through the production of new virions, creating new cycles of infection and disseminating infected cells; maintenance or amplification of reservoirs by homeostatic cell proliferation; and viral transcription and synthesis of viral proteins without new virion production. These proteins can induce immune activation, thus participating in the vicious circle of HIV pathogenesis.
Flexible pseudorandom number generator for tinnitus treatment implemented on a dsPIC
Venue: IEEE Latin America Transactions

Treatment of tinnitus with masking sounds has reach a significant developed in recent years. It is mainly because it has been possible to implement noise sinthesizers based on random number generators in digital signal processors (DSP) which form a part of almost any digital hearing aid device. One limitation of these methods is that limitations of the DSP architecture prevent pseudo white noise of being generated conform to a real white noise statistics. In this paper, a technique to generate adittive white gaussian noise (AWGN) or noise with uniform distribution using coefficients stored in memory of the DSP program is proposed. An implementation of the technique is carried out on a dsPIC from Microchip and subjective experiments and experimental measurements are performed to validate the performance of the developed technique.
Pseudorandom number generation using chaotic true orbits of the Bernoulli map.
Venue: Chaos

We devise a pseudorandom number generator that exactly computes chaotic true orbits of the Bernoulli map on quadratic algebraic integers. Moreover, we describe a way to select the initial points (seeds) for generating multiple pseudorandom binary sequences. This selection method distributes the initial points almost uniformly (equidistantly) in the unit interval, and latter parts of the generated sequences are guaranteed not to coincide. We also demonstrate through statistical testing that the generated sequences possess good randomness properties.
Can We Have Our Cake and Eat it Too? Liberalization, Economic Growth, and Income Inequality in Advanced Industrial Societies

Conventional economic wisdom maintains that liberalization is partially responsible for the recent expansion of income inequality in advanced industrial societies. Yet the empirical evidence is far from conclusive, as some scholars find a robust positive association between liberalization and inequality, while others uncover a significant negative association between these variables. This study attempts to engage with this burgeoning field of research in order to clarify the empirical link between liberalization, economic growth, and income inequality. To achieve this objective, the current study compiles a panel data set of twenty one developed economies during the years 1970 to 2009. According to the findings, liberalization returns a consistent positive connection with the pretransfer Gini coefficient using a range of regression parameters and robustness checks. Furthermore, although there is some support for the contention that liberalization indirectly decreases inequality by expanding economic growth, these results are far from conclusive as the findings are inconsistent across different equations. In conclusion, the results largely support conventional wisdom as economic liberalization is found to be a positive predictor of income inequality in advanced industrial societies.
Economic Growth and Income Inequality: Evidence from Dynamic Panel Investigation

This paper empirically investigates the effect of income inequality on economic growth using extended panel data covering a broad range of developing and developed countries. We use system generalized method of moments (GMM) techniques in a dynamic panel analysis, which alleviates the possible positive bias in difference GMM due to the persistence of lagged dependent variables as instruments. We find strong evidence of a negative effect on growth from income inequality, which contradicts the findings of Forbes [2000, September. A reassessment of the relationship between inequality and growth, American Economic Review, 90(4) pp. 869 887] and Li and Zou [1998, October. Income inequality is not harmful for growth: Theory and evidence, Review of Development Economics, 2(3) pp. 318 34] Further analyses using combined Gini coefficients show that the difference can be overall attributed to the problem of omitted control variables and the differences in how the variations in inequality across countries are reflected. We also find that the negative effects of inequality on economic growth can be of great significance when using a sample of less developed countries or more recent inequality data set.
Economic Growth and Income Inequality: Evidence from Thailand
Venue: IUKM

Evidence from this study shows a significant relationship between growth and income inequality in which inequality creates a negative impact on the growth, but the impact of economic growth on income inequality is nonlinear. This result captures the Kuznets Hypothesis, finding the level of growth that can reduce unequal distribution of income in Thailand. Finally, this study also discovers a certain level of inflation that can help reduce income inequality effectively.
Toward a scalable quantum computing architecture with mixed species ion chains
Venue: Quantum Inf. Process.

We report on progress toward implementing mixed ion species quantum information processing for a scalable ion trap architecture. Mixed species chains may help solve several problems with scaling ion trap quantum computation to large numbers of qubits. Initial temperature measurements of linear Coulomb crystals containing barium and ytterbium ions indicate that the mass difference does not significantly impede cooling at low ion numbers. Average motional occupation numbers are estimated to be \bar{n} \approx 130$$n 130 quanta per mode for chains with small numbers of ions, which is within a factor of three of the Doppler limit for barium ions in our trap. We also discuss generation of ion photon entanglement with barium ions with a fidelity of $F \ge 0.84$$F>=0.84, which is an initial step towards remote ion ion coupling in a more scalable quantum information architecture. Further, we are working to implement these techniques in surface traps in order to exercise greater control over ion chain ordering and positioning.
A Closed Form Solution for Reissner's Planar Finite Strain Beam Using Jacobi Elliptical Functions

In the paper, we introduce an analytical solution for a large deflection, finite strain, and planar Reissner beam that is subject to an end force and a bending moment. The solution is provided in terms of Jacobi elliptic functions. The obtained analytical solution is enhanced with numerical examples. The buckling and post buckling behavior of a beam under an axial compressive load applied at its end and subject to various boundary conditions is also discussed in detail. In particular, the buckling factor is derived for all boundary conditions.
Impact of Tele nursing on adherence to treatment plan in discharged patients after coronary artery bypass graft surgery: A quasi experimental study in Iran
Venue: Int. J. Medical Informatics

Coronary artery bypass graft is a major surgery and has complications that require professional and long term follow up and nursing care that if do not properly handled, could reduce the quality of life and increase post operative complications. On the other hand Tele nursing is a cost effective way to educate and follow up of patients. This study aimed to assess the impact of Tele nursing on adherence to treatment plan in discharged patients after coronary artery bypass graft.  A quasi experimental study was carried out at Ekbatan Therapeutic and Educational Center of Hamadan University of Medical Sciences at Hamadan, Iran, in 2013. In this study, 71 patients who had undergone coronary artery bypass graft surgery and had inclusion criteria were randomly divided into two experimental group (n=36) and control group (n=35) They completed questionnaire before discharging from Therapeutic and Educational Center. In the experimental group on days 2, 4, 7, second week (day 11) third week (day 18) and fourth week (day 25) after discharge, follow up interventions and nursing education with Tele nursing was done, but in the in the control groups, patients received only routine interventions. After completion of the intervention period, both groups completed the questionnaire and the results were compared.  Adherence of treatment plan in both groups did not have significant difference before intervention (P=0.696) but had a significant difference with regard to baseline after intervention in aromatherapy group (P< 0.01) and with control group after intervention (P<0.01) Adherence to treatment plan in the aromatherapy group was better in compared to control group (P<0.01) CONCLUSION Tele nursing is a convenient way, cost effective training and follow up care for patients after coronary artery bypass surgery, which can improve patients' adherence to treatment plan in developing countries such as Iran.