Miracle-dz/UniFAR-FTUs huggingface dataset:
The Dutch Future Self-Continuity scale and its relation to narrative psychology

The Future Self-Continuity (FSC) Scale was developed in 2009 by Ersner-Hershfield et al. for assessing perceived future self-continuity. The aim of this study was to construct a Dutch version and to research its potential relevance for narrative psychology. The FSC Scale was translated using the forward-backward method and subsequently pre-tested with a convenience sample comprised of seven respondents, using the Three-Step Test-Interview method. Feedback received during the pre-test was us used to improve the scale, resulting in an understandable and culturally and semantically equivalent Dutch version. After this the associations between future self-continuity and resilience, flourishing, mental health, temporal discounting and the Big Five personality traits were researched in an online survey study (N=83, convenience sample). No significant correlations between future self-continuity and these constructs were found. Based on this study it remains unclear what the importance of future self-continuity for narrative psychology is. Possible explanations for the lack of significant correlations and future directions for research are discussed.
InAs/GaSb Superlattice Photodiodes Operating in the Midwave Infrared Spectral Domain

InAs/GaSb superlattice (SL) is a promising material system for high performance infrared detector. The electrical and optical properties are directly governed by the composition and the periodicity of the InAs/GaSb cell. In particular, several structures with different InAs to GaSb thickness ratios in each SL period, can target the same cut-off wavelength and exhibit different type of conductivity, n-type or p-type. Consequently, by using specific SL periods, it is possible to design a midwave infrared pin photodiode without intentionally doped the structure. Electrical and electro-optical characterizations, of such device fabricated by molecular beam epitaxy, are reported.
Molecular identification of seven species of the genus Stigmaeopsis (Acari: Tetranychidae) and preliminary attempts to establish their phylogenetic relationship

Abstract The genus Stigmaeopsis (family Tetranychidae) has 11 species including the serious bamboo pest, S. nanjingensis. All Stigmaeopsis species are difficult to identify by their morphology, and the diagnostic character (the length of dorsal setae) can be used only to identify fresh specimens. To identify these species at the molecular level, we sequenced the cytochrome c oxidase subunit I (COI) gene of mitochondrial DNA and two nuclear ribosomal RNA genes (18S and 28S) of 20 strains of seven species of Stigmaeopsis [S. celarius, S. longus, S. miscanthi (both low- and high-aggression phenotypes), S. nanjingensis, S. tenuinidus, S. saharai and S. takahashii]. In maximum likelihood (ML) phylogenetic trees of both COI and combined 18S-28S genes, all but one Stigmaeopsis species could be identified as a monophyletic clade with high bootstrap values. The present results strongly suggested that the exceptional species, S. miscanthi, consists of three biologically different entities based on two phylogenetic trees. Though the phylogenetic trees did not comprehensively solve the phylogeny of Stigmaeopsis, a phylogenetic tree based on the combined nuclear genes showed a sibling relationship between two sub-social Stigmaeopsis species, S. miscanthi and S. longus. In addition, diagnostic PCR detected Wolbachia or Cardinium, which frequently affect mitochondrial haplotypes, in S. longus and S. nanjingensis. In the COI tree, S. longus was separated into two groups which were more consistent with their bacterial infection status than with their geographical distribution.
Effect of Traveler’s Nationality on Daily Travel Time Expenditure Using Zero-Inflated Negative Binomial Regression Models: Results from Belgian National Household Travel Survey

In this study, data stemming from the 2010 Belgian National Household Travel Survey were used to assess the effect of a traveler’s nationality on daily travel time expenditure. Negative binomial (zero-inflated) models were estimated to isolate the effect of nationality after other contributing factors such as sociodemographics, residential characteristics, transport options, and temporal characteristics were controlled for. The results indicate that even if one controls for a series of other influencing factors, nationality plays a significant role in differences in travel time expenditure. This finding is especially relevant in the development of policy packages that are targeted at social inequalities. From a methodological perspective, methodological options—two weighting schemes and two bootstrap solutions—were presented to provide sufficient support for the conclusions. To generalize the results in further studies, an oversampling of travelers of different nationalities is strongly recommended. Future research should focus more on the underlying psychological constructs of why ethnic and cultural differences persist even if one accounts for other determinants.
Estimating The Term Structure of Interest Rates: A Case of Turkey (1990 - 2001)

Bu calisada, hazine bonosu faiz oranlarii vade yapiihesaplanmaktadi. Bunun icin donusurulmusbir modelden faydalanimisi. Ampirik modelde; 12 ay vadeli hazine bonolarii volatilitesi bagilidegsen, 6, 3 ve 1 ay vadeli hazine bonolarii volatilitesi ise bagisi degsen olarak kullanimisi. Makroekonomik politikalar sonucu olarak hazine bonosu faiz oranlariyuksek volatiliteye sahip olmakla birlikte, bu calisani sonuclarifarklivadelerin esegr volatilitesi gibi bir vade yapiionerileri teorisini destekler niteliktedir.
Influences of internal and external frames of reference on the formation of math and English self-concepts.

In a large nationally representative sample (N=14,825 students, 1,015 high schools) math and English self-concepts were: a) uncorrelated despite a substantial correlation between math and English test scores; b) influenced by internal and external frames of reference; and c) negatively affected by school-average achievement
Conceptual analysis studies in Turkish tests and suggestions to solve the computer network terms lexicon

Conceptual inference on texts with natural language processing is one of the most important topics of artificial intelligence. The meaning extraction process with artificial intelligence algorithms is frequently done in foreign languages, and in recent years studies for Turkish have been increasing. In this study, concept-meaning extraction studies made for Turkish have been researched and extraction algorithms which can be done on the computer network concept dictionary have been investigated.
Development of control algorithms for a self-learning mobile robot

Autonomous learning robots have the advantage over manually programmed robots in that they are able to adapt to varying conditions, both internal to the robot (e.g., energy levels) as well as external environmental conditions (e.g. obstacles, light). In this project, there were analized the possibilities to implement a robot that learns how avoid obstacle using online self-adaptation. Initially it was sudied and implemented a robot that explores an unknown path, using touch sensors and an obstacol detector to find its way during the exploration. Finally it was implemented a genetic algorithm on the robot and experimented with using genetic algorithm as a form of robot learning. The robot was built using the Lego RCX.
Destabilization of barotropic flows small-scale topography

The stability of a barotropic zonal jet aligned with zonal topography on the beta-plane is investigated. The topography is assumed to be spatially periodic, with a period much smaller than the width of the jet. The problem is examined both by linear normal-mode analysis and by direct numerical simulations. The following results are obtained. If the topography is sufficiently weak, the growth-rate of the most unstable normal mode has two maxima. The long-wave maximum occurs at wavelengths comparable to the width of the jet, and is described by Benilov's (J. Phys. Oceanogr. vol. 30, 2000, p. 733) asymptotic theory. The short-wave maximum occurs at wavelengths comparable to the scale of the topography or at a shorter one. The nonlinear evolution of the flow is, in this case, similar to that in the case of a flat bottom, i.e. the jet begins to meander and breaks up into separate vortices. For a stronger topography, long-wave disturbances are stable, as predicted by Benilov's (2000) asymptotic theory, whereas short-wave instabilities are still present. The instabilities are strongest near the lines of maximum shear. In nonlinear simulations, the flow becomes turbulent within narrow strips along these lines, and potential vorticity there homogenizes. As the strips grow wider, they begin to interact, and the subsequent evolution is again similar to that of a jet over a flat bottom: large-scale meandering and break-up of the jet into vortices. In the presence of topography, however, the vortices are ‘filled’ with short-wave turbulence, and break-up occurs later.
First-principles mode-by-mode analysis for electron-phonon scattering channels and mean free path spectra in GaAs

We present a first-principles framework to investigate the electron scattering channels and transport properties for polar material by combining the exact solution of linearized electron-phonon (e-ph) Boltzmann transport equation in its integral-differential form associated with the e-ph coupling matrices obtained from polar Wannier interpolation scheme. No ad hoc parameter is required throughout this calculation, and GaAs, a well-studied polar material, is used as an example to demonstrate this method. In this work, the long-range and short-range contributions as well as the intravalley and intervalley transitions in the e-ph interactions (EPIs) have been quantitatively addressed. Promoted by such mode-by-mode analysis, we find that in GaAs, the piezoelectric scattering is comparable to deformation-potential scattering for electron scatterings by acoustic phonons in EPI even at room temperature and makes a significant contribution to mobility. Furthermore, we achieved good agreements with experimental data for the mobility, and identified that electrons with mean free paths between 130 and 210 nm contribute dominantly to the electron transport at 300 K. Such information provides deeper understandings on the electron transport in GaAs, and the presented framework can be readily applied to other polar materials.
The Marginal Propensity to Consume across Household Income Groups

Understanding heterogeneity in the way households respond to income changes is crucial for policymaking, as shocks in the economy often affect specific groups of households differently. Using data from the Household Expenditure Survey (HES), this paper estimates the marginal propensity to consume (MPC) out of disposable income for Malaysian households and examines how the propensities differ across income brackets. We find evidence that the MPC out of disposable income for lower income households is higher than that for higher income households. The MPCs vary from 0.81 for those earning below RM1,000 to 0.25 for those earning above RM10,000. These MPCs allow policymakers in Malaysia to estimate more precisely the aggregate consumption effects of income shocks that affect households of specific income groups. 1 The authors are grateful to Fraziali Ismail, Dr. Mohamad Hasni Sha'ari, Dr. Ahmad Razi, Dr. Sharmila Devadas, Dr. Loke Yiing Jia and Dr. Chuah Kue Peng for their useful comments. All views expressed and errors made are those of the authors and do not necessarily reflect that of the Department and the Bank. Correspondence: dhruva@bnm.gov. my, jianwei@bnm.gov. my, boonhwa@bnm.gov. my
The empowerment, ongoing limits and consequences in financial services

Empowerment may be one of the answers to the growing competition and increasingly demanding customers in the financial retail sector, but the relation between empowerment and profit-oriented behaviour at the service encounter has been only sparsely documented. This article offers a comparative empirical analysis of the conditions and impact of empowerment and related activities in Iranian financial institutions, with a focus on semi-standardised frontline jobs. The results indicate that granting decision-making authority and autonomy to the individual front-line employees has often been a powerful step in the efforts of the financial service companies to increase their competitiveness. In the change process, formal participation has only a moderate supportive impact on performance while changes initiated at the branch offices and the linking of rewards with performance, both have a notably positive impact on the competitiveness and profit-oriented behaviour of front-line employees. Key words: Empowerment; financial services, implementation, profit orientation, service quality.
Improving Efficiency on Progressive Duplicate Detection

Duplicate detection is the process of classifying numerous representations of same real world entities. Presently, these methods made essential to route ever higher datasets in constantly squatter period and sustaining the eminence of a dataset befits progressively problematic. Progressive duplicate detection algorithms significantly intensify the efficiency of discovering replicas if the execution time is inadequate. Exploiting the expansion of the overall process within the time available by reporting results in much prior than previous methodologies. Here, Widespread tests display that progressive algorithms can double the efficiency over time of traditional duplicate detection and ominously progress upon connected work.
Components of dental clinic patient loyalty as perceived by the dentist

The dental clinic market has been subject to different changes while have led to the development of a new business model for the sector. These changes have been the great increase in the number of dentists, new business models, the demand of new services, churn patients, among others. With the purpose of stopping patient churn, the main objective of this research is to investigate the perception that the dentist has of the behavior of Loyal Patient (LP) and Non-loyal Patient (NLP) in dental clinics. The study analyzes the data obtained from a survey collected among 220 Spanish dentists who were active during 2012. The main findings obtained from the Principal Components Analysis (PCA) are: (i) the dentist perceives that the behavior of the LP is driven by three components: "Same dental clinic and recommendation", "Patient willingness" and "Low sensitivity to prices"; (ii) the dentist perceives that the behavior of the NLP is driven by three components: "High sensitivity to prices", "High churn and few recommendation" and "Less visits". This study allow to understand patient loyalty in dental clinics by a holistic approach, evaluating the dentist's perception; at the same time, it helps in decreasing negative bias in the dentist in order not to condition their professional behavior when a new patient arrives at the clinic.
Prevalence and temporal distribution of Schistosoma haematobium infections in the Vhembe district, Limpopo Province, South Africa

The aim of the present study is to determine the trend, current prevalence and contributing risk factors of Schistosoma haematobium infections in the Vhembe district, South Africa. A retrospective analysis of previous S. heamatobium data at the hospitals was conducted. A survey was conducted with the use of questionnaires and urine samples collected from hospitals, university students as well as primary school children for microscopic analysis for the detection of S. heamatobium eggs. Data from previous hospital laboratory tests indicated that S. haematobium infections are endemic in the region with prevalence varying between 44 and 90% among patients presenting with urinary tract infections, from 1998 to 2004 with regular peaks in January-February and July-August with an increase in percentage of infected persons during the last two years of the study (2003, 2004). The analysis of samples collected from the hospitals indicated prevalence between 78% in hospital C and 86% at the hospital A with high prevalence of heavy infections. The prevalence among university students and primary school children were 36.2 and 42%, respectively. Although females were more infected than males, the difference was not significant (p > 0.05). The survey indicated lack of knowledge of schistosomiasis among university students, frequent exposure to river water, a percentage of geophagy of 38.4% and low level of personal hygiene. School children are at high risk of infection and control programmes must take them into consideration. Health education is a necessity in the region to sensitise the population about these infections. Further studies are needed to identify infection foci as well as the occurrence of the intermediate hosts in different water bodies in the region. Such information will be useful in the design of control methods which will also contribute to poverty alleviation in the region.
An Image Classification Algorithm Based on Multidomain Convolution Neural Network

Deep Convolutional Neural Networks (CNNs) have outperformed humans in many computer vision tasks, such as object recognition and image classification, but it is almost impossible to run a large-scale CNN network structure in the platform and application scenarios with limited calculate ability. For the limited computing platform and application scenarios, we propose a novel CNN architecture: Multi-Domain CNN (MD-CNN). Multi-domain images are obtained by different pre-processing of the images input to the multi-domain convolutional neural network, and each image domain independently obtains the output features through a feedforward network. Then, the output features of multiple parallel multi-domain images are spliced together as the output characteristic of MD-CNN. This structure can effectively convert the network of CNN from depth to width, extract more efficient features quickly, which improves the training speed of the network. In the test of MNIST and CIFAR-10 datasets, the accuracy of our method reached 96.3% and 91.4% respectively, moreover, compared with the traditional CNN training speed increased about 1.5 times.
Self-Optimization in Cloud Computing Considering Reliability and Energy

In the virtual data-center, how to map virtual machines (VMs) to physical machines (PMs) is becoming a hot issue. However, most of existing VM scheduling schemes have not fully considered the reliability and dynamical workloads of VMs. This paper presents a novel bionic autonomic nervous system (BANS) based approach for cloud resource management. This approach supports self-optimization that provides a dynamic and autonomic way to adapt to dynamical workloads and VM resource requirements. For the VM allocation in the self-optimization, this paper presents a reliability-performance-energy correlation model that can model, analyze and evaluate reliability, performance and power consumption simultaneously.
Monitoring of the Drought Tolerance of Various Cotton Genotypes Using Chlorophyll Fluorescence

In this chapter, chlorophyll fluorescence in plant leaves of three genotypes of cotton cultivated in Uzbekistan and characterized at different degrees of drought tolerance is studied. The light and CO2 responses of the chlorophyll fluorescence and the photosyn‐ thesis and possible mechanisms of adaptation of plants to moderate long-term drought are described. The chlorophyll fluorescence and various morpho-physiological indicators of well-watered and moderately drought-stressed cotton plants have been measured simultaneously over a long period of plant ontogenesis to establish direct correlations between them to estimate the magnitude of drought effect using fluores‐ cence parameters. It is shown that determination of such correlations and their calibration by photoacoustic signals generated in plant leaves at application of lowfrequency-modulated light may be used for monitoring of the drought tolerance of crops in the field.
Pricing Strategy versus Heterogeneous Shopping Behavior under Market Price Dispersion

We consider the ubiquitous problem of a seller competing in a market of a product with dispersed prices and having limited information about both his competitors’ prices and the shopping behavior of his potential customers. Given the distribution of market prices, the distribution of consumers’ shopping behavior, and the seller’s cost as inputs, we find the computational solution for the pricing strategy that maximizes his expected profits. We analyze the seller’s solution with respect to different exogenous perturbations of parametric and functional inputs. For that purpose, we produce synthetic price data using the family of Generalized Error Distributions that includes normal and quasiuniform distributions as particular cases, and we also generate consumers’ shopping data from different behavioral assumptions. Our analysis shows that, beyond price mean and dispersion, the shape of the price distribution plays a significant role in the seller’s pricing solution. We focus on the seller’s response to an increasing diversity in consumers’ shopping behavior. We show that increasing heterogeneity in the shopping distribution typically lowers seller’s prices and expected profits.
Customer journeys: a systematic literature review

Customer journeys have become an increasingly important topic in service management and design. The purpose of this paper is to review customer journey terminology and approaches within the research literature prior to 2013, mainly from the fields of design, management, and marketing. ,The study was conducted as a systematic literature review. Searches in Google Scholar, Scopus, Web of Knowledge, ACM Digital Library, and ScienceDirect identified 45 papers for the analysis. The papers were analyzed with respect to customer journey terminology and approaches, the relation to customer experience, the referenced background, and the use of visualizations. ,Across the reviewed literature, customer journeys are described not only as a means to take the viewpoint of the customer, but also to reach insight into their experiences. A rich and at times incoherent customer journey terminology is analyzed and discussed, as are two emerging customer journey approaches: customer journey mapping (analysis of a service process “as is”) and customer journey proposition (generative activities leading toward a possible service “to be”). ,The review is limited to analyzing and making claims on research papers that explicitly apply the term customer journey. In most of the reviewed papers, customer journeys are not the main object of interest but are discussed as one of several topics. ,A nuanced discussion of customer journey terminology and approaches is provided, supporting the practical application of a customer journey perspective. ,The review contributes a needed common basis for future customer journey research and practice.
Overview and Final Results of the MR Project

This paper describes the overview and final results of about four year project on mixed reality systems. This project is unique in that it includes the research themes on display hardware, such as head mounted displays and 3-D displays without eyeglasses, as well as the themes on algorithms, methodologies, and systems for mixed reality. During this project, related research activities have been stimulated by our achievements. In addition to these achievements, the technical demonstrations to be exhibited at this symposium are