Miracle-dz/UniFAR-FTUs huggingface dataset:
Reference-dependent preferences and stock market participation

ABSTRACT Prospect theory was proposed mainly to explain irrational investment behaviour. However, empirical evidence has come mostly from controlled experiments, and evidence from real data is rare. This paper uses panel data from a nationally representative survey in China to test whether prospect theory can explain stock market participation. The empirical results show that individuals take expected income as a reference point when investing in stocks. After real income and other factors are controlled for, the relative loss between expected and real income increases by 10,000 RMB, the probability of holding stocks increases by 0.77% and stock investment increases by 11.78%. The mechanism behind this is that relative losses motivate individuals to take excessive risks to hedge losses, while relative gains increase risk aversion and the holding of safe assets. These results can explain the puzzle of limited stock market participation. Participation costs are the main factor that restricts the low-income group from participating in the stock market, while the high-income group often faces relative gains, which leads to increased risk aversion and unwillingness to hold stocks.
Applications of technologies in T&I courses in Australia: Perceptions of T&I academics

The pervasive role of technology in T&I has seen unpreceded changes in teaching and learning, professional practice, and community engagement. As Neural Machine Translation and Artificial Intelligence continues to improve, so will these new technological methods and the way academics teach T&I programs. However, little is known about how and where these tools are taught in Australia. This research sets out to fill this gap. It does so by using publicly available data on university websites, as well as the perspectives of a broad range of academics obtained through an online survey, to answer these questions. While each technological approach has its limitations, there is a pressing need to understand the extent of teaching using technological tools in the Australian context, so that future translators and interpreters are better-informed in their educational choices, better equipped with the appropriate tools, and better prepared for their future as translators and interpreters in an increasingly digital age.
Analysis of a multi-axial quantum informed ferroelectric continuum model: Part 1—uncertainty quantification

The uncertainty of phenomenological parameters governing fourth- and sixth-order Landau energy functions and electrostrictive coupling of ferroelectric single crystals is analyzed for lead titanate. Bayesian statistics are used to quantify model parameter uncertainty associated with approximating lattice strain and full-field electron density from density functional theory calculations as a homogenized, electromechanical continuum. The continuum model parameter uncertainty is propagated through the model to obtain prediction and credible intervals when estimating the non-convex energy surface and electrostrictive stresses for lead titanate. The results illustrate the important differences in fourth- and sixth-order Landau energy functions that influence estimations of the crystal phase. In addition, Bayesian statistics provides important insights into varying degrees of uncertainty along different thermodynamic paths associated with polarization rotation versus polarization changes along its spontaneous direction. Methods to reduce this uncertainty via decoupling electromechanical relations are demonstrated. The results provide critical insight into the development of self-consistent models that utilize density functional theory for large-scale continuum model simulations. Furthermore, the results are complementary to Part 2, in which we develop and apply new concepts in model parameter global sensitivity to accelerate uncertainty quantification of correlated parameters using higher order energy functions for a broad range of ferroic materials.
The Effect Of Price, Service Quality, Customer Value, And Brand Image On Customers Satisfaction Of Telkomsel Cellular Operators In East Java Indonesia

The purpose of this study is to determine the effect of price, service quality, customer value, and brand image on customer satisfaction. The sampling method uses purposive sampling. The sample of this study amounted to 200 respondents. The analysis method used multiple linear regression with SPSS (Statistical Product and Service Solution). The results of this study price have a significant positive effect on customer satisfaction. By with the benefits obtained by customers. Service quality has a positive effect on customer satisfaction. Quality of service provided can to meet the needs and desires of consumers as well as customer complaints, criticism, suggestions, or just asking for help responded quickly with a solution by the customer care. Customer value has a positive effect on customer satisfaction. Benefits received can increase consumer trust. Consumers will be satisfied with the services provided. Brand image has a positive effect on customer satisfaction. The image of the Telkomsel cellular operator brand can be said to be good, well-known, easy to remember, and able to create consumer interest in the products offered.
An Implication of Impulse Response Function in the Perspective of Green Revolution, Credit Disbursement, and Fossil Fuel Utilization in Pakistan

Recently, credit disbursement and fossil fuel utilization increased to enhance wheat production so peasants could benefit from the green revolution. To look at the impact of credit disbursement, fossil fuel utilization, and the determinants of the green revolution were arranged to investigate the association among them. For this purpose, the study employed the time series in the perspective of Pakistan, spanning 1971 to 2019. Modern econometrics techniques like Johansen cointegration, vector autoregressive and impulse response function were employed along with a number of diagnostics tests. Evidence of the Johansen model shows significant long-run cointegration among the green revolution, credit disbursement, fossil fuel, and total wheat production. The Johansen test elaborates that 1% increase in credit disbursement and fossil fuel increases the total wheat production by 0.57% and 0.04 % respectively. Moreover, the determinants of the green revolution also positively affect wheat production. While the coefficient, residual and stability diagnostic tests are in favor of the study. The findings of the impulse response function state that all the concerned variables positively affect the total wheat production in the coming years. The study suggested that the government and private sector should invest in research and development to introduce the organic chemical and forming to avoid soil fertility and environmental degradation.
Ectoparasites Associated with Migratory Birds, Eastern Desert, Red Sea, Egypt

Chewing lice, ticks, mites, and other ectoparasites can infect migratory birds and transmit to resident birds. Ectoparasites cause allergic reactions, irritation, anorexia, decrease in economic income, and may transmit some pathogens between birds. Our current study examined and detected ectoparasites on migratory birds in the Eastern Desert and Gabel El Zeit area, Red Sea, Egypt. During this study, we examined eighty-two migratory birds to detect ectoparasites between March 2019 and May 2022. In this period, we collect 82 newly dead migratory birds belonging to 7 orders; 36 birds of Ciconiiformes, 35 birds of Accipitriformes, four birds of Coraciiformes, two birds of Falconiformes, two birds of Pterocliformes, two birds of Suliformes, and one bird of Columbiformes were examined for ectoparasites. The collected ectoparasites from the migratory birds were preserved freezing or in 70% ethanol until identified as species in the laboratory examination. A total of twenty-six ectoparasite species were collected, belonging to 16 lice, four ticks, four flies, and two mites on migratory birds. Concluded that more studies should be conducted aimed at studying ectoparasites on all species of soaring birds migrating through Egypt.
Service Innovation and Performance in Micro, Small, and Medium-Sized Organizations

While service innovations, new or significantly improved services, are essential to the continued prosperity of micro, small, and medium-sized enterprises (MSMEs), the magnitude of the relationship between service innovation performance (SIP) and organizational performance (OP) for these distinct groups is unknown. This is because they are commonly assumed to be homogeneous and studied together as a single group, obscuring any meaningful or significant differences between them. In addition to providing clarity regarding the SIP-OP relationship for MSMEs, this study also examines how firm size, firm age, and customer profile impact its strength for these organizations. Hypotheses are tested with data collected from 802 Irish service MSMEs using Partial Least Squares Structural Equation Modelling (PLS-SEM) and multigroup analysis.
Enabled but not transformed – narratives on parental involvement among first-time mothers and fathers in Germany in the context of parental leave policy design

ABSTRACT Assuming that policy design can impact gender equity in caretaking, this paper examines how expectant mothers and fathers understand and respond to specific parental leave policy elements when shaping their parenting practices. Taking Germany as a case study, this research draws on semi-structured interviews conducted between October 2019 and March 2020 with 18 couples, who were expecting their first child at the time of the interview. Germany’s parental leave policy has shifted substantially since 2007, most notably with the establishment of non-transferable parental leave months for fathers. Exploring the link between policy design at the macro-level and parental involvement at the micro-level, this paper focuses on how mothers and fathers make sense of their leave entitlements when dividing leave, which (policy) aspects they consider as helping or hindering an equal leave division and how mothers and fathers anticipate using parental leave benefits. Results indicate that the current parental leave policy design enables greater equity in caretaking by normalizing some leave-taking by fathers. However, by providing an option for fathers’ leaves to be split and to be taken concurrently with mothers the policy limits fathers’ solo parenting responsibility and consequently prevents a transformation of gendered parenting practices.
Charge Prediction by Constitutive Elements Matching of Crimes

Charge prediction is to automatically predict the judgemental charges for legal cases. To convict a person/unit of a charge, the case description must contain matching instances of the constitutive elements (CEs) of that charge. This knowledge of CEs is a valuable guide for the judge in making final decisions. However, it is far from fully exploited for charge prediction in the literature. In this paper we propose a novel method named Constitutive Elements-guided Charge Prediction (CECP). CECP mimics human's charge identification process to extract potential instances of CEs and generate predictions accordingly. It avoids laborious labeling of matching instances of CEs by a novel reinforcement learning module which progressively selects potentially matching sentences for CEs and evaluates their relevance. The final prediction is generated based on the selected sentences and their relevant CEs. Experiments on two real-world datasets show the superiority of CECP over competitive baselines.
Fission of pre-actinide nuclei. The (p,f) reaction in the proton energy region 24--30 MeV

We have used the Alma Ata isochronous cyclotron to measure the integrated and differential cross sections for fission by protons of energy 24--30 MeV for 15 target nuclei in the region W--Bi. The experimental results, analyzed together with similar data for (.cap alpha.,f) reactions, are used to determine the fission barriers and to study the dependence of the fission probability on the introduced angular momentum. An anomalous effect of angular momentum on the fissility of a nucleus, observed in energy regions near threshold, is observed and interpreted.
Transportation Mobile Applications Adoption Behavior Does Affect Overseas Residents' Life Satisfaction: Involvement as A Moderator

Abstract Mobile application acceptance is an emerging research area that gained wide-spread popularity. Managerially important but the overlooked aspect is mobile applications adoption effect on overseas resident’s life satisfaction. Travel applications make users’ life easier with a smooth travel satisfaction that contributes to life satisfaction. The users who perceive applications useful and easy to use are satisfied with life in South Korea. Moderating effects of travelers’ involvement between three types of transportation applications and perceived usefulness and ease of use, where people use mobile applications before and during traveling, to fulfill travel needs, location detail, and to make the right arrangements were identified as moderator of technology adoption model (TAM). Data collected from 400 users conclude that relation of usefulness with travel satisfaction is not significant while residents perceive ease of use were significant determinants of travel satisfaction. TAM acceptance influences travel satisfaction which provides more feeling too satisfied from life.
Adoption of Dexmedetomidine in Different Doses at Different Timing in Perioperative Patients

Dexmedetomidine (Dex) is an alpha-2 agonist used for sedation during various procedures. Dex activates 2-adrenoceptors, and causes the decrease of sympathetic tone, with attenuation of the neuroendocrine and hemodynamic responses to anesthesia and surgery; it reduces anesthetic and opioid requirements; and causes sedation and analgesia. Objective: it was to compare the perioperative effects of different doses of Dex at different timing in patients using Dex during the perioperative period adopting a medical data classification algorithm based on optimized semi-supervised collaborative training (Tri-training). Methods: 495 patients requiring surgical treatment in Xingtai People's Hospital were randomly selected as the study subjects. The patients were divided into group A (used before induction), group B (used during induction), and group C (used after induction) according to different induction timing, with 165 cases in each group. Then, groups A, B, and C were divided into groups A1, B1, and C1 (0.4 μg/(kg·h) rate), groups A2, B2, and C2 (0.6 μg/(kg·h) rate), and groups A3, B3, and C3 (0.8 μg/(kg·h) rate) according to the dose used, with 55 cases in each group. Intraoperative anesthesia and postoperative adverse reactions were compared among the 9 groups. Results: the similarity between the Tri-training algorithm optimized by Naive Bayes (NB) classification algorithm and the actual classification (93.49%) was clearly higher than that by decision tree (DT) and K-nearest neighbor (kNN) classification algorithm (76.21%, 74.31%); heart rate (HR), systolic blood pressure (SBP), and diastolic blood pressure (DBP) values decreased obviously after Dex used in groups B1, C1, B2, C2, B3, and C3 (P <0.05), but did not change significantly in groups A1, A2, and A3 (P >0.05); the proportion of patients with satisfactory Ramsay score in group A3 was distinctly superior than that in groups A1, A2, B1, B2, B3, C1, C2, and C3 (P <0.05); the incidence of adverse reactions in group A3 was significantly inferior than that in groups A1, A2, B1, B2, B3, C1, C2, and C3 (P <0.05). Conclusion: the optimization effect of NB classification algorithm was the best, and the injection of Dex at the injection rate of 0.8 μg/(kg·h) before induction of anesthesia could apparently improve the fluctuation of HR, SBP, and DBP during perioperative period, and effectively reduce the occurrence of adverse reactions in patients, with better sedative effect on patients.
Gender positivity in sicilian preadolescents: gender differences in life skills, well-being, and coping strategies

The aim of this study is focused on the analysis of gender differences in psychological well-being, self-efficacy in life skills, and coping strategies in a sample of 550 Sicilian preadolescents between 11 and 14 years old (264 boys and 286 girls). Measures: 1) Comprehensive Inventory of Thriving (Andolfi et al., 2017) to examine the dimensions of psychological well-being; 2) Self-Efficacy in Life Skills Scales (Sagone & Indiana, 2017) to analyze problem solving ability, interpersonal and social communication ability, and managing of positive and negative emotions; 3) Children’s Coping Strategies Checklist (Camisasca et al., 2012) to study the coping. Results indicated significant differences for gender in the following dimensions: boys show higher levels of psychological well-being than girls, reporting high sense of belonging (t=2.620, p=.009) and optimism (t=2.761, p=.006) and being more satisfied with their life (t=2.340, p=.020); further, boys express negative emotions more than girls (t=4.081, p<.001) while girls report higher loneliness than boys (t=-3.108, p=.002). In relation to self-efficacy in life skills, boys perceive themselves highly efficient in managing of negative emotions (t=3.766, p<.001), while girls consider themselves highly efficient in interpersonal and social communication (t=-3.208, p=.001). Lastly, with reference to coping strategies, boys avoid critical situations trying to suppress them (t=3.716, p<.001), while girls think that things will improve in the end (t=-2.369, p=.018). Future research will deep the relationships among the analyzed topics in groups of adolescents of high schools and young adults.
Decentralized Kernel-Based Localization in Wireless Sensor Networks Using Belief Functions

Localization of sensors has become an essential issue in wireless networks. This paper presents a decentralized approach to localize sensors in indoor environments. The targeted area is partitioned into several sectors, each of which having a local calculator capable of emitting, receiving, and processing data. Each calculator runs a local localization algorithm, developed in a belief functions framework, using RSS fingerprinting database, to estimate the sensors zones. The fusion of all calculators estimates yields a final zone estimate. Various decentralized architectures are described, then compared with each other, and against the state-of-the-art. The experimental results using WiFi real measurements show the effectiveness of the proposed approach in terms of localization accuracy, processing time, and complexity.
The Effect of Operating Cash Flows, Sales Growth, and Operating Capacity in Predicting Financial Distress

:-Purpose: This study was conducted to obtain empirical evidence and to discuss the effect of operating cash flow, sales growth, and operating capacity in predicting financial distress in all manufacturing companies listed on the Indonesia Stock Exchange in 2017-2019. Method: This study is based on an associative quantitative approach and is assisted by the Statistical Package for the Social Sciences (SPSS) program. Findings: The results shows that operating cash flow had a negative effect on financial distress, and sales growth also had a negative effect on financial distress, while operating capacity had a positive effect on financial distress. Practical Implication: This article can be used as a consideration for companies in terms of prevention so that companies avoid financial distress. In addition, users of financial statements can be used as a consideration before making an investment decision so that they can find out indications of financial distress in a company. Significance of the study: The results of this study can provide useful contributions and information for company management to determine the effect of operating cash flow, sales growth, and operating capacity in predicting financial distress so that companies can take policies to take corrective or preventive action.
Knowledge, attitudes, and perceptions of dental students towards artificial intelligence in Riyadh, Saudi Arabia

Introduction : The pace of advancement of artificial intelligence (AI) in dentistry is accelerating rapidly. Thus, it’s very difficult for individuals to conclude that they can fully understand it. The aim of this study was to assess the knowledge, attitudes, and perceptions of dental students in Riyadh, Saudi Arabia towards (AI). Materials and Methods : A cross-sectional study was conducted using an online-based questionnaire sent to dental students in Riyadh, Saudi Arabia. The questionnaire used in this study was Google Forms. Furthermore, it was developed after referring a pre-validated questionnaire and distributed to students through social media platforms. The data collection was after 3 weeks. Results : Out of 423 participants, 50.1% had no basic knowledge about the working principle of AI. Also, the majority was not aware of the usage of AI in dentistry (55.8% No). The students get their knowledge about AI from social media and it was the most chosen answer by 40.9% (n=324). When questioned about whether AI applications should be part of undergraduate or postgraduate dental training, the agreement response was higher in postgraduate training (48.9%; n=207) compared to the undergraduate training (40.4%; n=171). Conclusion : Despite the fact that the knowledge of AI among dental students was considered to be low, dental students were enthusiastic to learn more about new technologies related to dentistry. Also, participants believed that AI will play a vast role in dentistry. In order to improve the dental students’ knowledge about AI, lectures, curricular courses, and scientific meetings should be highly considered.
Exploring the Causes of Power-Converter Failure in Wind Turbines based on Comprehensive Field-Data and Damage Analysis

Power converters are among the most frequently failing components of wind turbines. Despite their massive economic impact, the actual causes and mechanisms underlying these failures have remained in the dark for many years. In view of this situation, a large consortium of three research institutes and 16 companies, including wind-turbine and component manufacturers, operators and maintenance-service providers has joined forces to identify the main causes and driving factors of the power-converter failures in wind turbines to create a basis for effective remedial measures. The present paper summarizes and discusses the results of this research initiative, which have been achieved through the evaluation of converter-specific failure and operating data of a large and diverse worldwide wind-turbine fleet, field measurements as well as post-mortem investigation of returned converter components. A key conclusion of the work is that the thermal-cycling induced fatigue of bond-chip contacts and die-attach solder, which is a known issue in other fields of power-electronics applications and which has been widely assumed to be the principle damage mechanisms also in wind turbines, is no relevant contributor to the observed converter failures in this application. Instead, the results indicate that environmental factors such as humidity and contamination but also design and quality issues as well as human errors play an important part in the incidence of these failures.