nils-herrmann/clean_scirepeval huggingface dataset:
An assessment of service quality and customer satisfaction in the hotel sector

The purpose of this paper is to offer an empirical examination of the service quality in the hotel sector. While service quality is considered as an important factor on generating customer satisfaction and repurchase intention, little is done on assessing and exploring it in the Albanian context. So, this paper aims to offer an assessment of the quality of the service offered by the hotels in the Albanian coast and also an assessment of the effect of service quality on the satisfaction of hotel customers.  An instrument was built in order to gather important data and to assess the variables of the study. It consists of a structured questionnaire used as a self administered one. A revised SERVPERF with 5 Likert scale is used to collect the tourists' perceptions on service quality and customer satisfaction while, factorial analyses are used to assess service quality and the impact of quality on customer satisfaction.The sample is composed of tourists who were staying at the hotels of the sun and sand sector in the Albania coast line.  The results of the statistical analyses of the collected data show the significant importance of the perceptions of the tourists about the service quality and the significant impact of the perceived service quality on customer satisfaction for hotel guests.  This paper contributes to the existing empirical literature exploring service quality and its impact on customer satisfaction. It presents a methodology for developing the service quality and customer satisfaction. So, businesses and institutions in the hotel sector have a better understanding of the factors that are considered important from the customer point of view to create and maintain high service quality and customer satisfaction.
An empirical assessment of the SERVQUAL scale

Article history: Received June 5, 2015 Received in revised format August 16 2015 Accepted  During the past few years, many people have used point of sales for purchasing goods and services. Point of sales tends to provide a reliable method for making purchases in stores. Implementation of point of sales may reduce depreciation cost of automated telling machines and helps banks increase their productivities. Therefore, for bank managers, it is important to provide high quality services. This paper presents an empirical investigation to measure quality service using SERVQUAL scale. The study first extracts six factors including Trust, Responsiveness, Reliability, Empathy, Tangibles and getting insight for future development through the implementation of structural equation modeling. Next, it has implemented structural equation modeling and realizes that all components had positive impacts on customer satisfaction. Growing  (c) 201
Fourier Series In Control Theory

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New Fourier series based analytical solution to the conduction convection equation to calculate soil temperature, determine soil thermal properties, or estimate water flux

Temperature is an important physical variable of soil. Heat transfer in soils predominantly occurs due to conduction and convection. In this paper, we present a new analytical solution, based upon the Fourier series boundary conditions for soil surface temperature, in which the separation of variables for the heat conduction convection equation was established. Data that had been collected from the Qinghai Xizang (Tibet) Plateau (QXP) were used to calculate the thermal diffusivity and the liquid water flux density using different methods. The results of the soil thermal diffusivity using 5 cm as the upper boundary for the soil depth were used to calculate the soil temperature using both the single sine wave conduction and conduction convection model and the Fourier series conduction convection model. These results were then compared with the values for the temperature of the field soil measured at a depth of 10 cm. The average standard error of the estimate (SEE) the normalized standard error (NSEE) and Bias were 0.16 degC, 2.70% and 0.11 degC for the Fourier series conduction convection method. The results indicate that the Fourier series model provides a better estimate of observed field temperatures than the sine wave model. This method provides a useful tool for determining soil thermal parameters, simulating soil temperature and the parameterization of land surface processes for modeling permafrost changes under global warming conditions.
Structural and Electrical Characterizations of CuNi Thin Film Resistors

This work studied the development of Cu Ni for thin film resistor; specifically reported in this paper is the surface morphology and resistance. Films were deposited on the substrate of commercialized flame retardant (generally known as FR4) printed circuit board by using thermal evaporator. The thickness of the film was set to 100 nm and the dc current was maintained at 26 A. The sheet resistance and bulk resistivity of the thin films were measured via four point probe test. The stability of thin film resistor was measured through temperature coefficient of resistance (TCR) According to the experimental results, it can be seen that the sheet resistance of the thin film resistor decreased with increasing copper composition.
RSVP on the go: implicit reading support on smart watches through eye tracking
Venue: SEMWEB

While smartwatches have become common for mobile interaction, one of their main limitation is the limited screen size. To facilitate reading activities despite these limitations, reading with Rapid Serial Visual Presentation (RSVP) has been shown to be feasible. However, when text is presented in rapid sequence, single words are easily missed due to blinking or briefly glancing up from the screen. This gets worse the more the reader is engaged in a secondary task, such as walking. To give implicit control over the reading flow we combined an RSVP reading application on a smartwatch with a head worn eye tracker. When the reading flow is briefly interrupted, the text presentation automatically pauses or backtracks. In a user study with 15 participants we show that using eye tracking in combination with RSVP increases users' comprehension compared to a touch based UI to control the text presentation. We argue that eye tracking will be a valuable extension for future smartwatch interaction.
Eigenvalue Crossing Avoidance in Characteristic Modes
Venue: IEEE Transactions on Antennas and Propagation

The theory of characteristic modes (TCM) provides a set of eigenvalues and eigenvectors that are determined entirely by a structure's geometry at a particular frequency. When examining a design over a range of frequencies, consistent interpretation of the modal data is crucial. Here, we present a way of interpreting crossing avoidances observed when tracking characteristic mode eigenvalue traces over frequency. Using the framework of coupled mode theory, a method for decomposing a pair of characteristic modes into auxiliary modes is developed. The auxiliary modes have a degeneracy (eigenvalue crossing) and maintain continuity of modal current distributions through the coupling region of the original characteristic modes. We demonstrate several examples using our method on simple objects. Furthermore, we explore the effect of multiplicative noise and lumped reactive loading on induced crossing avoidance.
Control of the heat stress induced alternative splicing of a subset of genes by hnRNP K
Venue: Genes to cells devoted to molecular cellular mechanisms

Pre mRNA splicing is widely repressed upon heat shock in eukaryotic cells. However, it has been shown that HSP105 pre mRNA is alternatively spliced in response to heat stress. Using RNAi screening in HeLa cells, we found that RNA binding proteins hnRNP K and PSF/SFPQ are necessary for the exon 12 exclusion of HSP105 during heat stress. Moreover, exon array analyses showed that a group of genes is alternatively spliced during heat stress in an hnRNP K dependent manner, whereas hnRNP K is not necessary for the stress induced alternative splicing of the remaining genes. Among the latter group, we found that SRp38/SRSF10 and SC35/SRSF2 are necessary for the inclusion of exon 13 of TNRC6A during heat stress. Thus, our study clearly showed that several RNA binding proteins are involved in the splicing regulation in response to heat stress in mammalian cells.
Dynamic Multi Objective Optimization with jMetal and Spark: A Case Study
Venue: MOD

Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the prototyping architecture of a tool aimed to solve Big Data Optimization problems. Our tool combines the jMetal framework for multi objective optimization with Apache Spark, a technology that is gaining momentum. In particular, we make use of the streaming facilities of Spark to feed an optimization problem with data from different sources. We demonstrate the use of our tool by solving a dynamic bi objective instance of the Traveling Salesman Problem (TSP) based on near real time traffic data from New York City, which is updated several times per minute. Our experiment shows that both jMetal and Spark can be integrated providing a software platform to deal with dynamic multi optimization problems.
Re examining students' perception of e learning: an Australian perspective

Australian tertiary institutions are increasingly incorporating technologies, such as social media and Web 2.0 tools into teaching in response to changing student needs. The purpose of this paper is to revisit a fundamental question, frequently asked in marketing, "what do our 'customers' [students] think now?" This will help determine the effectiveness of application of these technologies in courses and teaching programs in a changing competitive educational environment.  Using a mixed method approach, data were collected through 31 qualitative interviews and a survey of 231 university marketing students. Quantitative techniques included summary statistics, factor analysis and t test.  Results indicate while students' perceived flexibility and better learning outcomes as positive aspects of e learning, they have concerns about flexibility for self paced learning, self motivational issues, lack of human interaction and fostering teamwork.
What Can Student Perception Surveys Tell Us About Teaching? Empirically Testing the Underlying Structure of the Tripod Student Perception Survey

We conducted a theory based analysis of the underlying structure of the Tripod student perception survey instrument using the Measures of Effective Teaching (MET) database (N 1,049 middle school math class sections; N 25,423 students) Multilevel item factor analyses suggested that an alternative bifactor structure best fit the Tripod items, and preliminary evidence suggests that both the general responsivity and the classroom management specific dimensions are positively associated with teacher value added scores. In our discussion, we consider the distinct characterizing features of adolescents as raters of teaching, the implications for teacher professional learning opportunities, and key areas for future research.
Plasmonic nanofocused four wave mixing for femtosecond near field imaging.
Venue: Nature nanotechnology

Femtosecond nonlinear optical imaging with nanoscale spatial resolution would provide access to coupled degrees of freedom and ultrafast response functions on the characteristic length scales of electronic and vibrational excitations. Although near field microscopy provides the desired spatial resolution, the design of a broadband high contrast nanoprobe for ultrafast temporal resolution is challenging due to the inherently weak nonlinear optical signals generated in subwavelength volumes. Here, we demonstrate broadband four wave mixing with enhanced nonlinear frequency conversion efficiency at the apex of a nanometre conical tip. Far field light is coupled through a grating at the shaft of the tip, generating plasmons that propagate to the apex while undergoing asymptotic compression and amplification, resulting in a nonlinear conversion efficiency of up to 1 x 10( 5) We apply this nonlinear nanoprobe to image the few femtosecond coherent dynamics of plasmonic hotspots on a nanostructured gold surface with spatial resolution of a few tens of nanometres. The approach can be generalized towards spatiotemporal imaging and control of coherent dynamics on the nanoscale, including the extension to multidimensional spectroscopy and imaging.
Radiatively Limited Dephasing and Exciton Dynamics in MoSe2 Monolayers Revealed with Four Wave Mixing Microscopy
Venue: Nano letters

By implementing four wave mixing (FWM) microspectroscopy, we measure coherence and population dynamics of the exciton transitions in monolayers of MoSe2. We reveal their dephasing times T2 and radiative lifetime T1 in a subpicosecond (ps) range, approaching T2 2T1 and thus indicating radiatively limited dephasing at a temperature of 6 K. We elucidate the dephasing mechanisms by varying the temperature and by probing various locations on the flake exhibiting a different local disorder. At the nanosecond range, we observe the residual FWM produced by the incoherent excitons, which initially disperse toward the dark states but then relax back to the optically active states within the light cone. By introducing polarization resolved excitation, we infer intervalley exciton dynamics, revealing an initial polarization degree of around 30% constant during the initial subpicosecond decay, followed by the depolarization on a picosecond time scale. The FWM hyperspectral imaging reveals the doped and undoped areas of the sample, allowing us to investigate the neutral exciton, the charged one, or both transitions at the same time. In the latter, we observe the exciton trion beating in the coherence evolution indicating their coherent coupling.
Consensus and complementarity based maximum entropy discrimination for multi view classification
Venue: Inf. Sci.

Maximum entropy discrimination (MED) is a general framework for discriminative estimation based on the maximum entropy and large margin principles, but it just uses only one view of the data not all the views of the data. Although Multi view maximum entropy discrimination considered the multi view information of the data, it just respects the consensus principle. There are two common principles named consensus and complementarity in multi view learning. We aim to take the full advantage of the multi view information of the data for classification, and respect the two common principles consensus and complementarity simultaneously. In this paper, we propose a new method called consensus and complementarity based MED (MED 2C) for multi view classification, which well utilizes the two principles consensus and complementarity for multi view learning (MVL) We first transform data from two views into a common subspace and make the transformed data in the new subspace identical to respect the consensus principle. Then we augment the transformed data with their original features to take into account the complementarity principle. Built on the augmented features and meanwhile by relaxing the consensus principle, the objective function of MED 2C is naturally formed whose inner optimization recovers the traditional MED framework. We provide an instantiation of the MED 2C method and derive the corresponding solution. Experimental results on synthetic data and real world data show the effectiveness of the proposed MED 2C. It not only performs better than three single view classification methods but also generally outperforms three multi view classification methods canonical correlation analysis (CCA) ensemble MED (EMED) and the multi view variant SVM 2K of the classical support vector machine (SVM) algorithm. In addition, MED 2C performs better than or as well as state of the art MVMED on all the data sets.
Intermediate Filaments: Structure and Assembly.
Venue: Cold Spring Harbor perspectives in biology

Proteins of the intermediate filament (IF) supergene family are ubiquitous structural components that comprise, in a cell type specific manner, the cytoskeleton proper in animal tissues. All IF proteins show a distinctly organized, extended a helical conformation prone to form two stranded coiled coils, which are the basic building blocks of these highly flexible, stress resistant cytoskeletal filaments. IF proteins are highly charged, thus representing versatile polyampholytes with multiple functions. Taking vimentin, keratins, and the nuclear lamins as our prime examples, we present an overview of their molecular and structural parameters. These, in turn, document the ability of IF proteins to form distinct, highly diverse supramolecular assemblies and biomaterials found, for example, at the inner nuclear membrane, throughout the cytoplasm, and in highly complex extracellular appendages, such as hair and nails, of vertebrate organisms. Ultimately, our aim is to set the stage for a more rational understanding of the immediate effects that missense mutations in IF genes have on cellular functions and for their far reaching impact on the development of the numerous IF diseases caused by them.
Intermediate Filaments as Organizers of Cellular Space: How They Affect Mitochondrial Structure and Function
Venue: Cells

Intermediate filaments together with actin filaments and microtubules form the cytoskeleton, which is a complex and highly dynamic 3D network. Intermediate filaments are the major mechanical stress protectors but also affect cell growth, differentiation, signal transduction, and migration. Using intermediate filament mitochondrial crosstalk as a prominent example, this review emphasizes the importance of intermediate filaments as crucial organizers of cytoplasmic space to support these functions. We summarize observations in different mammalian cell types which demonstrate how intermediate filaments influence mitochondrial morphology, subcellular localization, and function through direct and indirect interactions and how perturbations of these interactions may lead to human diseases.
Reduced engagement with social stimuli in 6 month old infants with later autism spectrum disorder: a longitudinal prospective study of infants at high familial risk
Venue: Journal of Neurodevelopmental Disorders

BackgroundAutism spectrum disorder (ASD) is a neurodevelopmental disorder that affects more than 1 of the population and close to 20 of prospectively studied infants with an older sibling with ASD. Although significant progress has been made in characterizing the emergence of behavioral symptoms of ASD, far less is known about the underlying disruptions to early learning. Recent models suggest that core aspects of the causal path to ASD may only be apparent in early infancy. Here, we investigated social attention in 6 and 12 month old infants who did and did not meet criteria for ASD at 24 months using both cognitive and electrophysiological methods. We hypothesized that a reduction in attention engagement to faces would be associated with later ASD.MethodsIn a prospective longitudinal design, we used measures of both visual attention (habituation) and brain function (event related potentials to faces and objects) at 6 and 12 months and investigated the relationship to ASD outcome at 24 months.ResultsHigh risk infants who met criteria for ASD at 24 months showed shorter epochs of visual attention, faster but less prolonged neural activation to faces, and delayed sensitization responses (increases in looking) to faces at 6 months; these differences were less apparent at 12 months. These findings are consistent with disrupted engagement of sustained attention to social stimuli.ConclusionsThese findings suggest that there may be fundamental early disruptions to attention engagement that may have cascading consequences for later social functioning.
Corrosion assessment of infrastructure assets in coastal seas

The seas play an essential role for the peoples living on their coastal regions, since the marine infrastructure is located in the coasts. Seawater is a corrosive environment that affects infrastructure particularly in polluted seawater. Corrosion and pollution are pernicious chemical, physical processes that impair the quality of the environment and the durability of the marine structures and materials. They are aggravated by the discharge into the sea coast of municipal, industrial and agricultural effluents, which contain and produce toxic and highly corrosive components by biological and chemical degradation. Reinforced concrete and carbon steel are the main engineering materials used for the construction of marine installations and equipment but other metals and alloys: aluminium; copper, stainless steels are applied, too. Laboratory and field corrosion tests in seawater were carried out applying gravimetric, electrochemical and surface examination methods, based on American Society of Testing and Materials (ASTM) and National Association of Corrosion Engineers (NACE) standards. This work is the result of a cooperation between academic institutions in Mexico and Israel. The data generated advance the management of sea corrosion prevention and mitigation, and provide a guide for marine infrastructure maintenance and corrosion control. Several cases of corrosion in the sea coasts based on the authors experience and knowledge are presented.
Using PLS path modeling in new technology research: updated guidelines
Venue: Ind. Manag. Data Syst.

Partial least squares (PLS) path modeling is a variance based structural equation modeling (SEM) technique that is widely applied in business and social sciences. Its ability to model composites and factors makes it a formidable statistical tool for new technology research. Recent reviews, discussions, and developments have led to substantial changes in the understanding and use of PLS. The paper aims to discuss these issues.  This paper aggregates new insights and offers a fresh look at PLS path modeling. It presents new developments, such as consistent PLS, confirmatory composite analysis, and the heterotrait monotrait ratio of correlations.  PLS path modeling is the method of choice if a SEM contains both factors and composites. Novel tests of exact fit make a confirmatory use of PLS path modeling possible.  This paper provides updated guidelines of how to use PLS and how to report and interpret its results.