Miracle-dz/UniFAR-FTUs huggingface dataset:
The role of radio frequency scattering in high-energy electron losses from minimum-B ECR ion source

The measurement of the axially lost electron energy distribution escaping from a minimum-B electron cyclotron resonance ion source in the range of 4–800 keV is reported. The experiments have revealed the existence of a hump at 150–300 keV energy, containing up to 15% of the lost electrons and carrying up to 30% of the measured energy losses. The mean energy of the hump is independent of the microwave power, frequency and neutral gas pressure but increases with the magnetic field strength, most importantly with the value of the minimum-B field. Experiments in pulsed operation mode have indicated the presence of the hump only when microwave power is applied, confirming that the origin of the hump is radio-frequency-induced momentum space diffusion. A possible mechanism of the hump formation is considered based on the quasi-linear model of plasma–wave interaction.
The Influence of Female Directors and Institutional Pressures on Corporate Social Responsibility in Family Firms in Latin America

This paper has two main aims. Firstly, we examine whether, given a critical mass of female board members, their presence has a different effect on the firm’s CSR practices according to its family or non-family nature. We then consider whether the moderating role of the institutional environment in Latin America enhances the role of female directors in influencing the board’s attitude towards CSR strategies. The results obtained—from a sample of 22,958 observations, corresponding to an unbalanced data panel of 5124 companies for the period 2010–2016—confirm our hypothesis and also highlight the existence of type I (organisational) and type II (institutional) compensation effects, which reduce or eliminate differences between family and non-family firms, whether or not they are located in Latin American countries.
Numerical modelling of forming load on pre-stressed dies

The article presents a method of numerical modelling of the load on pre-stressed dies. Numerical modelling was performed in two stages. In the first stage, a simulation of the process of extruding with stiff tools was performed. In the second stage, load on the tools obtained in the first stage was implemented and strength tests of the dies were performed. Four construction variants of the tools made of steel and sintered carbide were analysed. In the first set of tools, a monolithic die with a container was used. In the second set, a die and a divided container were applied. In the third set, a die and a container stressed with a singular ring were used. In the last set, a die with a container stressed with two rings was analysed. As a result, distributions of reduced, radial, tangential, and axial stresses were presented for various construction variants. Die and container made of sintered carbide stressed with two rings ensure the necessary strength of tools and correct progression of the process.
Role of Silicon in the Microstructural Development and Properties of Ti-15Nb-xSi Alloys for Biomedical Applications

16, 2021 Ti-Nb alloys are attractive for biomedical implants and the addition of Si can lead to an improved set of properties. This study investigates the effect on the microstructures and properties of solution-treated Ti-15Nb-xSi alloys followed by furnace cooling (FC), and water quenching (WQ). Based on the results, Si acts as a β-stabilizing element by increasing the β volume fraction from 13%–36% in FC samples to a range from 0%–0.55% Si. The elastic modulus decreased under both conditions and reached approximately 63 GPa in WQ samples with 0.35% Si due to an increased α” unit cell volume. On the other hand, hardness increased with increased Si content under FC and WQ conditions to a maximum of 313 HV in the WQ sample containing
Social Entrepreneurship in Professional Sports: Antecedents and Outcomes from the Consumer Perspective

This study empirically explored antecedents and outcomes related to social entrepreneurship in the context of professional sports from the customer’s perspective. Two parent companies—FuBon and ChinaTrust, both financial holding firms—and two franchises—FuBon Guardians and ChinaTrust Elephants—in the Chinese Professional Baseball League were the research elements in this study to ensure generalizability of the findings of this study. The participants of this study were 268 spectators of a FuBon Guardians game and 201 spectators of a ChinaTrust Elephants game. Structural equation modeling was used for data analysis. Results indicated that innovation and corporate social responsibility positively correlated with social entrepreneurship. Moreover, social entrepreneurship was positively associated with affective commitment to the parent company and sports franchise. Finally, affective commitment to the parent company not only exerted a positive effect on the intention to purchase the products of the parent company but also promoted the intention to purchase licensed merchandise and attend games. Similarly, affective commitment to the sports franchise not only exerted a positive effect on the intention to purchase licensed merchandise and attend games but also promoted the intention to purchase the products of the parent company. Theoretical and managerial implications are discussed in this study.
Rewards and faculty turnover: An individual differences approach

Abstract The perception of dissatisfaction with rewards is associated with the growing number of faculty members who express their intention to leave the university (TI). Our study has two aims. First, to analyze the phenomenon of TI based on faculty members’ perception of both extrinsic as intrinsic rewards (EIR), considering the moderating effect of age, seniority, and education level. Secondly, to analyze whether the relationships among the EIR are stronger or weaker for specific faculty members, considering their individual differences. We developed and tested a hypothetical model using binary logistic regression with full-time faculty members working in business schools in Colombia. As for age, seniority and education level, no moderator effect was found between EIR and TI. However, we found support for the idea that some specific extrinsic and intrinsic variables impact TI and reveal individual perceptions of faculty members’ satisfaction increasing the probability of staying or withdrawing from university. We also used multiple correspondence analyses and found support for the idea that there are different levels of association between extrinsic and intrinsic rewards for certain groups of faculty members in relation to TI. The propensity of TI was characterized in three scenarios made of different groups of faculty members. Our findings illustrate that, to fully understand the EIR and TI relationship, scholars must adopt a perspective and methodology that distinguishes the forces of association between EIR from the perspective of individual difference. Practical implications, limitations and future studies are discussed.
A Comparative Study on Psychosocial Factors between Mothers of Infants with and without Physical Abnormalities

Introduction: Congenital anomalies are one of the most important causes of disability and mortality in childhood seen in developing and developed countries. Mothers with physically-abnormal newborns have unfavorable lifestyle compared to mothers with healthy infants. Objective: The aim of this study was to determine the difference between mothers of infants with and without physical abnormalities in terms of psychosocial factors. Materials and Methods: This is a case-control study with two study groups; the case group (n=133) consists of mothers who had babies with birth defects referred to health centers in Amol city, Iran for postnatal care in 2018. The control group (n=133) included mothers with healthy infants in this city. They were selected using a convenience sampling method. Measurement tools included a Socio-demographic form, Health-Promoting Lifestyle Profile (HPLP), Multidimensional Perceived Social Support Scale (MPSSS), Coping Strategies Scale - Short Form (CSS-SF), Prenatal Distress Questionnaire (PDQ), and General Health Questionnaire - Short Form (GHQ-SF). Data were analyzed using descriptive statistics, chi-square test, and t-test. Results: A total of 266 mothers with a mean age of 31.9±5.6 years were examined. There was a significant difference between the two groups of mothers in terms of overall HPLP score (P=0.01), and its dimensions of spiritual growth (P<0.05), physical activity, nutrition (P=0.01), and stress management (P<0.05). Moreover, a significant difference was reported between them in terms of MPSSS and its dimensions of social support from friends, family, and significant others (P=0.01). Furthermore, There was a significant difference between them with respect to GHQ dimensions of anxiety/insomnia, and depression (P<0.01); CSS dimensions of escape avoidance and emotion-focused coping strategies (P=0.01); and PDQ and its dimensions of concerns about the delivery and the health of the baby, and about the body weight/image (P=0.01). Conclusion: Mothers of infants with and without birth defects are significantly different from each other in terms of psychosocial factors. It seems that poor psychosocial variables in mothers during pregnancy can act as a risk factor for congenital anomalies.
Carbon nanostructures for directional light dark matter detection

Carbon nanostructures oﬀer exciting new possibilities in the detection of light dark matter. A dark matter particle with mass between 1 MeV and 1 GeV scattering oﬀ an electron in the carbon would transfer suﬃcient energy to extract the electron from the lattice. In 2D materials, such as graphene or carbon nanotubes, these electrons would be released directly into the vacuum, avoiding their re-absorption in the medium. We present two novel detector concepts: a ’Graphene-FET’ design, based on graphene sheets, developed at Princeton University; and a ’Dark-PMT’ based on aligned carbon nanotubes, developed in University of Rome Sapienza. We discuss their light dark matter discovery potential, the status of the RD
Small Waterbody Extraction With Improved U-Net Using Zhuhai-1 Hyperspectral Remote Sensing Images

Water extraction is an important prerequisite for the protection and rational use of water resources. The existing waterbody extraction methods are mostly used for the extraction of large- and medium-sized waterbodies, whereas less attention has been paid to small waterbodies. In this letter, we adapt the U-Net convolutional neural network to extract small waterbodies from Zhuhai-1 satellite hyperspectral remote sensing image. To the best of our knowledge, this is the first time that U-Net framework has been used for small waterbody extraction from satellite hyperspectral image. Specifically, we increase the depth of the network, and because there are far more negative samples (non-waterbodies) in remote sensing data than positive samples (waterbodies), Intersection over Union (IoU) is used as an evaluation indicator during model training. The results show that this method can accurately extract small waterbodies in the complex scenes. Compared with the traditional methods of support vector machine and the normalized waterbody index, the accuracy of this method is significantly higher, and both the Recall and the Precision are close to 90%.
THE IMPACT OF BRAND VALUE ON MARKET PERFORMANCE INDICATORS OF HIGH-TECHNOLOGY ENTERPRISES

Brand valuation gained in importance in the 1980s, when a difference between the price at which some enterprises are bought and their value, according to the balance sheet, was noticed. Brand value can be considered an intangible asset of an enterprise, whose impact on the market performance indicators must be taken into account. This paper examines the relationship between brand value and selected market performance indicators using correlation and regression analysis. The analysis is based on Interbrand data on brand value and annual reports of selected enterprises from high-technology sector. The sample included top 5 enterprises from high - technology sector, whose corporate brands are on the list of the 100 most valuable brands, in all years of the analysed eight-year period (from 2012 to 2019). This paper discovered a statistically significant positive relationship between brand value and market performance indicators and that brand value positively influences those performances of high - technology enterprises. The focus of this study is on the following market performance indicators: market capitalization, Tobin's Q, market to book ratio and earnings per share. The research contributes to the field of brand value management and emphasizes the importance of investments in corporate branding process.
Why Does the IAT Reveal a Preference for Stimuli Said to Be Paired With an Unpleasant Sound? Stalking the Unexpected

The Implicit Association Test (IAT) is the most widely used measure to assess automatic evaluations. One classic phenomenon that has been well established both using the IAT and self-report measures of liking is evaluative conditioning (EC), which refers to a change in the evaluation of a stimulus due to its pairing with another stimulus. Research has documented that EC can also occur when participants are merely informed about upcoming stimulus pairings. In a recent study, participants reported a more negative evaluation of non-words that were instructed to be followed by an unpleasant sound compared to non-words that would not to be followed by this sound (De Houwer, Mattavelli, & Van Dessel, 2019). Interestingly, however, an unexpected pattern was observed on an IAT, that is, a preference for the stimulus said to be followed by the sound. We report three pre-registered experiments (N = 650) in which we manipulated different aspects of the procedure such as the stimuli, instructions, and the measure, but that still revealed the same dissociation. Based on three pilot experiments (N = 92), we then conducted a registered report study (Experiment 4) testing whether the unexpected effect depends on how the USs are labelled in the instructions. Although describing the aversive sound as negative eliminated the unexpected IAT effect, the type of instruction only had a weak impact on IAT effects. These results are in line with prior evidence showing that IAT scores are malleable.
An urbanization monitoring dataset for world cultural heritage in the Belt and Road region

ABSTRACT World cultural heritage refers to properties recognized as having historical, social, and anthropological value. Global urbanization has changed the land cover, land use, transportation, landscape, and local environment in cities, and thus exposed World Heritage sites to risks induced by direct or indirect damaging factors. In this paper, an urbanization intensity index (UII) was developed to quantitatively measure urban dynamics in the vicinity of World Heritage sites. This index is based on three global Earth observation datasets, including a global human settlement layer, a global population grid product, and a global nighttime light imagery. Large UII values represent high urbanization levels and intensive human activities in the study area and vice versa. The assessment results show that the mean UII value at 79 world cultural heritage sites in the Belt and Road region increased from 0.26 in 2000 to 0.29 in 2015. The heritage sites were then classified into four types based on the change rates of UIIs. A total of seven heritage sites were identified as exposed to risks due to urban sprawl and infrastructure expansion. The UII dataset can be combined with UNESCO’s periodic reports and site-specific data to provide valuable information for international communities to develop heritage preservation policies. The dataset is available at http://www.dx. doi.org/10.11922/sciencedb.980.
Developing blog for English essay writing class

Learning needs a medium to help learners learning. The medium can provide the learners sources of knowledge and practice. Learning English essay writing subject required its learners to understand and to have essay writing skills of English as a foreign language. The essay writing is a subject conducted by English Education Department, Faculty of teacher training and education, Universitas Muhammadiyah Purwokerto, in Central Java province in Indonesia for preparing its learners to academic writing in the next semester. Blog which can be a learning medium for learning English Essay writing was necessary to be developed for fulfilling the learners’ need. Conducting a research and development was chosen to develop the blog. This study involved 21 students in the fourth semester who took the English essay writing subject. This study took eight months from March to October 2016 in two academic years 2015/2016 and 2016/2017. Questionnaire was used to investigate students’ need on learning media; to know feedback on blog’s content, structure and navigation, and visual design from experts and students; and to find out students’ perception toward the blog developed. Documentation was also used to describe the processes of developing the blog in this research. The results showed that the blog was successfully developed regarding to the learners’ necessity for learning the subject and to the procedure passed in this research. Moreover, the blog was perceived positively (100%) to help the learners to learn the subject of English essay writing.
Effect of pretreatments on the quality of sweet turnip pickle

An investigation undertaken to study the effect of various pretreatments of ingredients on the quality of the sweet turnip pickle revealed that, steam blanching is better than water blanching and dry roasting of slices of turnips, sugar is superior to refined jaggery (shakkar) and jaggery, (iii) gingelly oil is as good as mustard oil for preparation of pickle and (iv) roasting of spice imparted better quality to the pickle as compared to frying and steam sterilisation
Teardrop and sourcil line (TSL): a novel radiographic sign that predicts residual acetabular dysplasia (RAD) in DDH after closed reduction.

Background Residual acetabular dysplasia (RAD) is a major problem of developmental dysplasia of the hip (DDH) after closed reduction (CR). Several parameters have been investigated as ways of predicting RAD; however, prediction of RAD remains controversial. The purpose of this study was to evaluate the radiographic sign of teardrop and sourcil line (TSL) in pediatric patients with DDH to enable prediction of RAD after CR. Methods One hundred and twenty-five hips with DDH treated with CR and followed up for at least 2 years were included in this study. The mean age at CR was 18.3 months (range, 9 to 32 months) and the average follow-up time was 50.2 months (range, 24 to 89 months). The acetabular index (AI) was measured at different time points. The cases were divided into two groups according to whether TSL became continuous or not. The relationships among TSL, AI and RAD were analyzed. Results The RAD incidence was 73.6% (92/125) at the last follow-up. AI at CR and TSL were the prognostic factors for RAD (P=0.017 and 0.001, respectively). Thirty-four hips showed a continuous TSL. There was a lower RAD rate in the TSL continuous group (P<0.001). There was no statistical difference in the AI at CR between the TSL continuous and discontinuous groups; however, the level of AI after CR was lower in the TSL continuous group. The TSL of 74% (20/27) hips became continuous after acetabular osteotomy surgery. Conclusions The TSL continuous group had a lower AI and incidence of RAD than the discontinuous group. The TSL can be a predictive factor of RAD in DDH after CR and restore the continuous of TSL maybe a potential parameter that can help surgeons to make a judgment intra-operation.
The structural changes of a local tourism network: comparison of before and after COVID-19

ABSTRACT The COVID-19 pandemic has caused dramatic changes on a global scale. According to the United Nations World Tourism Organization (2020), the restricted movement that has arisen from the pandemic is expected to reduce the national tourist market to 180 million visitors, a 44% decrease from 2019. Subsequently, alternative tourist activities have been promoted to satisfy the suppressed demand. This study examined the structural changes of a local tourism network focusing on Gangwon Province, in the Republic of Korea, which has experienced a rise in tourist demand following the COVID-19 outbreak. This study composed a matrix using the movement patterns of tourists who visited Gangwon Province during corresponding periods before and after the outbreak and then conducted a network analysis. The results demonstrated that as tourists travelled, they focused their movements on local areas and simplified travel routes. Moreover, our findings revealed that the demand for tourism was concentrated on beaches, which previously tended towards a low tourism density. As COVID-19 is expected to become a pervasive reality for the foreseeable future, this empirical study on the corresponding changes in tourist behaviour has implications regarding the tourism industry’s direction.
Diachronic corpus analysis of stance markers in research articles: The field of applied linguistics

Abstract Despite the continuously growing body of research on metadiscourse markers in different genres and through various perspectives for over 20 years, very little is known of how these features have evolved over time in response to the historically developing practices of academic communities. Motivated by such an ambition, the current research drew on a corpus of 4.3 million words taken from three leading journals of applied linguistics in order to trace the diachronic evolution of stance markers of research articles from 1996 to 2016. Hyland’s model of metadiscourse was adopted for the analysis of the selected corpus. The data were explored using concordance software AntConc. Moreover, a Chi-Square statistical measure was run to determine statistical significances. The analysis revealed a significant decline in the overall frequency of stance markers, with devices in all categories, except self-mention which increased dramatically over the past 20 years. The paper has been concluded by offering some suggestions for teaching academic writing.
Machine Learning in liver disease diagnosis: Current progress and future opportunities

There has been a rapid growth in the use of automatic decision-making systems and tools in the medical domain. By using the concepts of big data, deep learning, and machine learning, these systems extract useful information from large medical datasets and help physicians in making accurate and timely decisions regarding predictions and diagnosis of diseases. In this regard, this study provides an extensive review of the progress of applying Artificial Intelligence in forecasting and detecting liver diseases and then summarizes related limitations of the studies followed by future research.