Miracle-dz/UniFAR-FTUs huggingface dataset:
Can Book Reviews be Used to Evaluate Books' Influence?

Introduction Citation frequency has become a popular index for quality evaluation of academic publications, e.g. articles, journals or books. Traditional altmetrics researches pay less attention to book-level evaluation, and they do not make use of content information. In this paper, we present a novel method, reviewmetrics, namely altmetrics to evaluate academic books based on reviews. We combine star and reviews with the information of helpfulness which is given by readers reflecting the degree of how helpful this review is (Yin, Bond, & Zhang, 2014). Correlation analysis was also conducted with citation frequencies of academic books, so as to prove the validity of reviewmetrics.
Effect of age, sex, and type of feedback on motor performance and locus of control.

Abstract The purpose of this study was to determine the effects of consistent positive and negative feedback on motor performance and a shift in locus of control. Comparisons of the data were made on the basis of age, sex, type of feedback, and internal–external (I–E) disposition. Extreme internal and external participants were offered positive or negative feedback on a rotary pursuit motor task over 20 trials, twice per week, for 6 weeks (a total of 240 trials). The results were as follows: (a) all eighth-grade (13-year-old) subjects displayed superior motor skill performance as compared to fifth-grade (10-year-old) students; (b) subjects across age groups who received positive feedback performed better than subjects given negative feedback; (c) a significant locus of control by feedback interaction indicated that high internals were superior to high externals under positive feedback conditions but that negative feedback produced inferior performance by internals compared to heightened performance by ext.
Body Image, Self-Esteem and Depression in Female Adolescent College Students

Introduction: The purpose of this study was to examine whether Body Mass Index (BMI) and the subjective perception of body weight, and body shape satisfaction predict level of self-esteem and depression among female college students. Method: The sample comprised of 124 female college students ranging in age from 16-21 years. Self perception of having a weight problem was evaluated by open-ended questions and Body Shape Questionnaire. In addition, Rosenberg Self-Esteem Scale and General Health Questionnaire-28 was administered. Results: Based on BMI 29.0% were under weight, 67.8% normal and 3.2% over weight. Rating of self-perception of body shape showed that 38.7% felt that they were slim, 27.4% normal and 26.6% as thin. Eighty six percent of the subjects desired to be slim. The perception of weight problem but not BMI contributed significantly to higher scores on GHQ. There was a significant positive correlation between BSQ scores and BMI, age, and weight. Conclusions: Health care providers need to educate female adolescents about normal weight range, proper diet and exercise. In addition, health care providers need to help them attain a realistic, positive perception of their weight in order to prevent depression and lowered self-esteem.
Diagrammatization of codon usage in 339 human immunodeficiency virus proteins and its biological implication.

The occurrence frequencies of bases A (adenine), C (cytosine, G (guanine), and T (thymine) occurring in the 1st, 2nd, and 3rd codon positions in the codon usage table of viral genes for the 339 human immunodeficiency virus (HIV) proteins compiled recently have been calculated and diagrammatized. For comparison, the corresponding diagrammatic representations for the 2681 human proteins from the codon usage table for primate genes are also presented. The analyzed results based on these characteristic diagrams indicate that considerably similar features have been found between HIV and human proteins for the 1st and 2nd codon positions; i.e., they are all occupied predominantly by purine, especially base A. However, a significant difference in the 3rd codon position between HIV and human proteins has been observed; i.e., human proteins are of high C + G content and low A + G content in the 3rd codon position, whereas the case is just the opposite for HIV proteins. The biological implication of such a duality on the codon bias of HIV against human proteins is discussed. It is suggested that the 1st and 2nd codon positions can be termed as the structure-determining position, and the 3rd codon position termed as the species-determining position. The diagrammatic representation and analysis method described here possess a great potential for the study of molecular evolution from the viewpoint of the genetic code for which data have been accumulated rapidly and will continue to grow at a much faster pace.
Customer Engagement Behaviors in Hospitality: Customer-Based Antecedents

ABSTRACT Customer engagement behaviors have received little attention in hospitality research. Previous research about their antecedents studies these behaviors isolatedly, out of the lens of customer engagement. This limits our understanding of the phenomenon and the managerial insights required to manage several customer engagement behaviors simultaneously. In this research, we aim to partially fill this gap, by studying the influence of customer-based factors on two important customer engagement behaviors for the hospitality industry: word-of-mouth and co-creation. We estimate our model with consistent PLS. The results of this study indicate that two types of drivers motivate customer engagement behaviors: common vs. behavior-specific antecedents, thus setting a theoretical base for future research about the topic. Customer resources moderate their influence. For practitioners, this study facilitates the management of customer engagement behaviors by indicating which antecedents exert their influence on them and highlighting the importance of implementing segmentation programs when managing customer engagement behaviors.
Expression of Polycomb Targets Predicts Breast Cancer Prognosis

ABSTRACT Global changes in the epigenome are increasingly being appreciated as key events in cancer progression. The pathogenic role of enhancer of zeste homolog 2 (EZH2) has been connected to its histone 3 lysine 27 (H3K27) methyltransferase activity and gene repression; however, little is known about relationship of changes in expression of EZH2 target genes to cancer characteristics and patient prognosis. Here we show that through expression analysis of genomic regions with H3K27 trimethylation (H3K27me3) and EZH2 binding, breast cancer patients can be stratified into good and poor prognostic groups independent of known cancer gene signatures. The EZH2-bound regions were downregulated in tumors characterized by aggressive behavior, high expression of cell cycle genes, and low expression of developmental and cell adhesion genes. Depletion of EZH2 in breast cancer cells significantly increased expression of the top altered genes, decreased proliferation, and improved cell adhesion, indicating a critical role played by EZH2 in determining the cancer phenotype.
UnitFL: A fault localization tool integrated with unit test

Automatic fault localization techniques are developed to assist software developers in program debugging. However, it is difficult to apply such techniques in practical usage. To bridge the gap between theory and practice, this paper introduces our work UnitFL, which integrates dynamic fault localization approaches with unit tests. Moreover, program slicing and dynamic program instrumentation techniques are applied to cut down the overhead during fault localization process. The tool is useful for developers using Microsoft Visual Studio platform to debug and test large scale programs with complex bugs in different granularities. Besides, it also supports the evaluation of a target program performance to uncover underlying bugs. This tool can be downloaded from Visual Studio Gallery, and up to now, it has been downloaded more than 500 times.
Effects of changes in neighbourhood environment due to the CPTED project on residents’ social activities and sense of community: a case study on the Cheonan Safe Village Project in Korea

ABSTRACT The purpose of this study is to analyse the effects of changes in neighbourhood environment due to the Crime Prevention Through Environmental Design (CPTED) project on residents’ social activities and sense of community through a case study of Cheonan Safe Village Project. The study conducted an observing survey and questionnaire survey in order to collect data, and a total of 314 residents’ social activities and 502 surveys were used in analysis. The analysis results can be summarized as follows. First, after the CPTED project, residents’ social activities showed a sustained increase. Compared to before the project, social activities increased by 30.5% immediately after project completion, and by 90.4% at the 1 year after completing the project. Regarding different types of social activities, greetings and conversations between neighbours and children’s play activities showed a sustained increase around the areas where the physical environment changed due to the CPTED project. Second, compared to before the project, the changes perceived in characteristics of the neighbourhood environment showed a 13.7–18.5% increase in the quality of the pedestrian environment, 13.4–24.8% decrease in neighbourhood disorder and 12.7–21.9% decrease in fear of crime. Also, the sense of community increased by 5.4–7.9% after the CPTED project. Third, neighbourhood disorder, fear of crime and participation in neighbourhood activities were significantly correlated with a sense of community of residents. These results suggest the changes in the neighbourhood environment due to the CPTED project, combined with resident participation in neighbourhood activities, had positive effects on improving the sense of community and social ties among community members. The above results shows that changes in neighbourhood environment due to the CPTED project have a positive impact on residents’ social activities and sense of community as well as local crime safety.
Job Separations, Job Loss and Informality in the Russian Labor Market

Having unique data we investigate the link between job separations (displacement and quits) and informal employment, which we define in several ways posing the general question whether the burden of informality falls disproportionately on job separators in the Russian labor market. After we have established positive causal effects of displacement and quits on informal employment we analyze whether displaced workers experience more involuntary informal employment than their non-displaced counterparts. Our main results confirm our contention that displacement entraps some of the workers in involuntary informal employment. Those who quit, in turn, experience voluntary informality for the most part, but there seems a minority of quitting workers who end up in involuntary informal jobs. This scenario does not fall on all the workers who separate but predominantly on workers with low human capital. We also pursue the issue of informality persistence and find that informal employment is indeed persistent as some workers churn from one informal job to the next. Our study contributes to the debate in the informality literature regarding segmented versus integrated labor markets. It also contributes to the literature on displacement by establishing informal employment as an important cost of displacement. We also look at the share of undeclared wages in formal jobs and find that these shares are larger for separators than for incumbents, with displaced workers bearing the brunt of this manifestation of informality.
Design of PN sequence generator based on memristor oscillator

This paper proposes a very simple chaotic circuit which contains a charge-controlled memristor, a capacitor and an inductor, for generating pseudo random (PN) sequences. The circuit can exhibit chaos in appropriate parameters of capacitance and inductance. We analyze the dynamics of the circuit, including equilibrium points and its stability, bifurcation diagram, Lyapunov exponents and dynamic map. Then this chaotic system is used to design a PN generator as a random seed, and the generated sequences are tested using the NIST test suit. Besides, we do a comparative analysis with the disperse Logistic map. The tested results show that the chaotic sequences obtained from the generator fully satisfy the standard of NIST, implying that the PN generator possesses good random characteristics and can be applied to the chaotic secure communication and information encryption. Furthermore, the proposed PN sequence generator is digitally implemented by using DSP technology. Finally, as an example of application, the proposed PN sequences are employed to encrypt image.
Photocontrol of Alcohol, Aldehyde, and Anthocyanin Production in Apple Skin.

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Object shape processing in the visual system evaluated using functional MRI

We used functional MRI (fMRI) to determine the cortical regions activated during processing of visual object shape in humans in six men and three women, using a paradigm with a baseline condition of simple shape detection and an activated condition of object/nonobject shape discrimination. Eight of the nine subjects studied showed significant signal changes. Seven of eight showed changes in the occipital lobes (five bilateral, two right only, one left only). All eight subjects with signal changes exhibited changes in the parietal lobes bilaterally. In the occipitoternporal gyri, there were signal changes bilaterally in seven subjects and unilaterally, on the right, in one. Activation-related fMRI signal increases were also present in the posterior superior and middle temporal gyri in seven of the subjects, with four showing bilateral signal changes, two showing signal changes on the left only, and one only on the right. The data strongly suggest that processing of object shape information in humans activates both the ventral and dorsal visual processing pathways (“what” and “where” pathways), described previously both in humans and in nonhuman primates.
MSE-Based Precoder Designs for Transmitter-Preprocessing-Aided Spatial Modulation Under Per-Antenna Power Constraints

In this correspondence, we investigate mean-square-error-based precoder designs for transmitter-preprocessing-aided spatial modulation (PSM) multiple-input multiple-output (MIMO) systems. In contrast to the existing precoders that are designed almost exclusively under the average total power constraint (ATPC), we focus on design problems under more realistic per-antenna power constraints (PAPCs). We first identify two different types of PAPCs for PSM-MIMO systems, including the average PAPC and the strict PAPC (SPAPC). We then derive the associated optimal minimum mean square error (MMSE) and zero forcing (ZF) precoders under these two constraints. To achieve a more balanced performance–complexity tradeoff, suboptimal SPAPC precoder designs, including a linear-programming-assisted ZF/MMSE ATPC with a power backoff precoder, are proposed. Finally, the performance of the proposed precoders is demonstrated through numerical simulations.
3D Tracking and Positioning of Surgical Instruments in Virtual Surgery Simulation

3D tracking and positioning of surgical instruments is an indispensable part of virtual Surgery training system, because it is the unique interface for trainee to communicate with virtual environment. A suit of 3D tracking and positioning of surgical instruments based on stereoscopic vision is proposed. It can capture spatial movements of simulated surgical instrument in real time, and provide 6 degree of freedom information with the absolute error of less than 1 mm. The experimental results show that the 3D tracking and positioning of surgical instruments is highly accurate, easily operated, and inexpensive. Combining with force sensor and embedded acquisition device, this 3D tracking and positioning method can be used as a measurement platform of physical parameters to realize the measurement of soft tissue parameters.
REVISITING INTRINSIC CURVES FOR EFFICIENT DENSE STEREO MATCHING

Abstract. Dense stereo matching is one of the fundamental and active areas of photogrammetry. The increasing image resolution of digital cameras as well as the growing interest in unconventional imaging, e.g. unmanned aerial imagery, has exposed stereo image pairs to serious occlusion, noise and matching ambiguity. This has also resulted in an increase in the range of disparity values that should be considered for matching. Therefore, conventional methods of dense matching need to be revised to achieve higher levels of efficiency and accuracy. In this paper, we present an algorithm that uses the concepts of intrinsic curves to propose sparse disparity hypotheses for each pixel. Then, the hypotheses are propagated to adjoining pixels by label-set enlargement based on the proximity in the space of intrinsic curves. The same concepts are applied to model occlusions explicitly via a regularization term in the energy function. Finally, a global optimization stage is performed using belief-propagation to assign one of the disparity hypotheses to each pixel. By searching only through a small fraction of the whole disparity search space and handling occlusions and ambiguities, the proposed framework could achieve high levels of accuracy and efficiency.
Iterative choice of the optimal regularization parameter in TV image deconvolution

We present an iterative method for choosing the optimal regularization parameter for the linear inverse problem of Total Variation image deconvolution. This approach is based on the Morozov discrepancy principle and on an exponential model function for the data term. The Total Variation image deconvolution is performed with the Alternating Direction Method of Multipliers (ADMM). With a smoothed l2 norm, the differentiability of the value of the Lagrangian at the saddle point can be shown and an approximate model function obtained. The choice of the optimal parameter can be refined with a Newton method. The efficiency of the method is demonstrated on a blurred and noisy bone CT cross section.
An analysis of outsourcing hotel services in Tanzania.

Outsourcing is the act of one company contracting with another company to provide services that might otherwise be performed by in-house employees. Often the tasks that are outsourced could be performed by the company itself, but in many cases there are financial advantages that come from outsourcing. Outsourcing is evident in the hospitality industry. Many hotels, catering outlets and restaurants outsource some of their services. Outsourcing in the hospitality industry is done in order to reduce costs; it also improves quality of service and increase revenue. Hence the aim of this study is to analyse the challenges in outsourcing hotel services in Tanzania. The study illustrates that the hotels tend to outsource non-core services such as laundry, security, purchasing, cleaning, catering, leisure and others. The hotels also indicated that the reasons for outsourcing is related to two main factors i.e. suppliers expertise and brand name as well as to increase internal efficiency. The results of the study illustrated that outsourcing hotel services is little known and inactive in Tanzania even though it has been practiced by some hotels for quite some time now unknowingly. This could be the main reason for the hotels carrying out many services in-house uneconomically and inconveniently. The results may be useful to hotels’ management in helping them make outsourcing decisions in the future.
Travel time estimating algorithms based on Fuzzy Radial Basis Function Neural Networks

Travel time estimating is one of main content in Intelligent Transportation System(ITS), accurate travel time estimating is also crucial application in the route guidance and advanced traveler information systems. In this paper, travel tine estimating algorithm based on Fuzzy Radial Basis Function Neural networks (FRBFNN) is proposed, the neural networks input is currently traffic flow and occupancy ratio of the road segment. A gradient descend learning algorithm with a momentum factor in this network model is introduced to decide the parameters of RBF in the membership function layer, and the output layer weight. Real road experiment results have shown that the proposed travel time estimating algorithm is feasible. Comparing with traditional method, the estimating error, both relative mean errors and root-mean-squared errors of travel times, is reduced significantly.