Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring the effects of service provider’s organizational support and empowerment on employee engagement and well-being

Abstract This paper aims to explore the effects of a service provider’s organizational support and organizational empowerment on employee well-being in the healthcare service context. It also investigates if employee engagement has an effect on employee well-being. An empirical study among the employees (n = 153) of a therapeutic and rehabilitation service provider in Dhaka, Bangladesh reveals that both organizational support and organizational empowerment have positive influences on employee well-being. Although organizational support has the largest effect on employee engagement, the influence of organizational empowerment on employee engagement is not a significant factor. However, employee engagement influences their well-being. The study findings provide insights by explaining the roles that a service provider can play to enhance employee well-being and the strategies that managers can take to realize the positive effects of organizational support and empowerment on well-being.
Universal model forms for predicting the dynamic properties of granular soils

Dynamic soil properties are important parameters for the design of structures subjected to various dynamic/cyclic loading such as earthquake which can be obtained by in situ and laboratory measurements. Numerous empirical and mathematical models have been proposed to predict the dynamic properties of soils, including maximum shear modulus (Gmax), normalized shear modulus (G/Gmax γ) curve, reference shear strain (γr), minimum damping ratio (Dmin) and damping ratio (D γ) curve. However, the majority of the existing models were proposed for specific soil types, loading characteristics, initial soil fabrics and strain ranges. This paper proposes five universal models to estimate the Gmax, γr and Dmin values, and also G/Gmax – γ and D – γ curves using a database that contains 117 tests on 5 different granular soils. The proposed models include the effect of grading characteristics, void ratio, mean effective confining pressure, consolidation stress ratio (KC) and specimen preparation method. The models are validated using experimental data from previous studies for granular soils. The results indicate that the proposed models are capable of evaluating the dynamic properties of granular soil. ARTICLE INFO
The Medical Tourism Index and Behavioral Responses of Medical Travelers: A Mixed-Method Study

This empirical study applies complexity theory to understand complex interactions of demographics and medical tourism index (MTI) dimensions in predicting causal models leading to high and low levels of satisfaction and behavioral intentions among medical travelers. A questionnaire-based survey is applied to investigate causal models (i.e., a combination of predictors) to predict satisfaction and the behavioral intentions of international patients who traveled to Cyprus. This study also conducted an in-depth interview to identify motives, complications, and conditions stimulating the behaviors of medical travelers. According to the necessary condition analysis (NCA) results, three dimensions of MTI, excluding cost, are necessary to achieve satisfaction and desired behavioral intention. Findings from interviews reveal that medical complications and legal conditions in the origin country influence medical traveler’s behaviors. The model testing results support key tenets of complexity theory and extend our knowledge of how to regulate conditions to discharge a dis/satisfied and dis/loyal patient.
Women’s entrepreneurial intention: The role of sticky floor perception and social networking

This study examines the moderating role of social networking on the relationship between the sticky floor perception and the entrepreneurial intention of 294 women workers. Women experiencing the sticky floor feel trapped in low wage and bottom to middle-level positions for extended periods of time. This lack of advancement and frustration may lead women to seize the opportunity and establish their own businesses and become entrepreneurs. Social networking is considered one of the important factors affecting entrepreneurial intention. Nonetheless, women entrepreneurs may face greater difficulties in developing and managing networks. The results of this study indicated that social networking yields a stronger positive (negative) relationship with entrepreneurial intention among those women demonstrating a high (low) sticky floor perception. These results are crucial in understanding the encouraging role of sticky floor perception on entrepreneurial intention and raising awareness concerning the impact of social networking within the entrepreneurial context.
Do investors’ reactions to CSR-related news communication differ by shareholder? An empirical analysis from Japan

This paper aims to examine the differences in investors’ reactions toward firms’ corporate social responsibility (CSR)-related news announcements between individuals and institutions. ,Analyzed by the short-term event study and ordinary least squares (OLS) methods using a unique CSR data set collected from newspapers in Japan from 2001 to 2016. ,The study finds, first, the different reactions toward CSR-related news announcements among shareholders. Second, the findings indicate that individual investors are more sensitive to CSR-related positive news, whereas institutional investors are more concerned about the negative news, providing one of the reasons for mixed results in the studies on the CSR and financial performance linkage. Those findings indicate that CSR-related news affects investors’ behaviors differently based on their purpose, ability and accessible information. ,This study deepens the understanding of the different investing behaviors toward CSR-related announcements by shareholder type. Second, different attitudes among investors require different investor relations (IR) approaches depending on the type. It also provides valuable implications not only for Japanese business managers or policymakers but also for those from countries with a similar stage of market maturity in the CSR context. ,This paper is original in two ways. First, to the best of the author’s knowledge, this is the first paper to deepen the understanding of investors’ reactions toward CSR-related events through analysis by the main shareholder, which provides some insights into mixed results in the previous studies. Second, the original CSR data set collected from newspapers by the author allows the analysis to use a larger data set than other research, resulting in more robust conclusions.
Exploring How Influencer and Relationship Marketing Serve Corporate Sustainability

Influencer marketing furthers the goals of relationship marketing. Companies use influencers to advertise their products through social networks such as Instagram. This digital advertising is aimed at shifting the company’s goals from customer acquisition to retention and commitment. While several articles provide interesting advances analyzing social media and sustainability goals, research about influencer types and their impact on engagement preserving corporate sustainability is limited. Thus, the objectives of this study are: (1) Select general influencer traits as positive characteristics in promoting a product; (2) analyze them for micro and macro influencer scenarios; (3) explore potential differences in their adequacy determining customer engagement and preserving corporate sustainability. Credibility, pleasantness, and emotions are the criteria analyzed through multivariate analysis applied over two independent samples of followers. Pleasantness and appearance in the macro influencer scenario and perceived integrity in that of the micro influencer appear to conflict with the desired transparency of the message, while transmission of emotions plays an essential role in both scenarios. This is a very important finding. Companies should assess candidate influencers’ emotional projection skills, in addition to evaluating the brand sponsorship costs and defining the target audience for the advertisement, always under the premise of preserving corporate sustainability.
Buyer Financing in Pull Supply Chains: Zero-Interest Early Payment or In-House Factoring?

This paper investigates the efficacy of zero-interest early payment financing (alternatively referred to as early payment) and positive-interest in-house factoring financing in a pull supply chain with a capital-constrained manufacturer selling a product through a capital-abundant retailer. Early payment is the prepayment of a wholesale cost to the manufacturer, whereas in-house factoring is a loan service provided to the manufacturer by a branch financing firm of the same retailer. We find that the retailer prefers early payment financing to bank financing when the manufacturer’s production cost is low. If the retailer instead offers positive-interest inhouse factoring financing to the manufacturer, then the financing equilibrium domain enlarges as compared to bank financing. Interestingly, early payment financing can outplay positive-interest in-house factoring financing if the production cost is considerably low; otherwise, vice versa. When the production cost is big enough, the retailer will not provide either early payment or in-house factoring. Furthermore, our main qualitative result sustains with an identical wholesale price across all three financing schemes and the financing equilibrium domain of early payment shrinks as demand variability grows.
Computer Science Meets Education: Natural Language Processing for Automatic Grading of Open-Ended Questions in eBooks

We investigated how Natural Language Processing (NLP) algorithms could automatically grade answers to open-ended inference questions in web-based eBooks. This is a component of research on making reading more motivating to children and to increasing their comprehension. We obtained and graded a set of answers to open-ended questions embedded in a fiction novel written in English. Computer science students used a subset of the graded answers to develop algorithms designed to grade new answers to the questions. The algorithms utilized the story text, existing graded answers for a given question and publicly accessible databases in grading new responses. A computer science professor used another subset of the graded answers to evaluate the students’ NLP algorithms and to select the best algorithm. The results showed that the best algorithm correctly graded approximately 85% of the real-world answers as correct, partly correct, or wrong. The best NLP algorithm was trained with questions and graded answers from a series of new text narratives in another language, Slovenian. The resulting NLP algorithm model was successfully used in fourth-grade language arts classes for providing feedback to student answers on open-ended questions in eBooks.
Emotional Biases and Recurrence in Major Depressive Disorder. Results of 2.5 Years Follow-Up of Drug-Free Cohort Vulnerable for Recurrence

An interesting factor explaining recurrence risk in Major Depressive Disorder (MDD) may be neuropsychological functioning, i.e., processing of emotional stimuli/information. Negatively biased processing of emotional stimuli/information has been found in both acute and (inconclusively) remitted states of MDD, and may be causally related to recurrence of depression. We aimed to investigate self-referent, memory and interpretation biases in recurrently depressed patients in remission and relate these biases to recurrence. We included 69 remitted recurrent MDD-patients (rrMDD-patients), 35–65 years, with ≥2 episodes, voluntarily free of antidepressant maintenance therapy for at least 4 weeks. We tested self-referent biases with an emotional categorization task, bias in emotional memory by free recall of the emotion categorization task 15 min after completing it, and interpretation bias with a facial expression recognition task. We compared these participants with 43 never-depressed controls matched for age, sex and intelligence. We followed the rrMDD-patients for 2.5 years and assessed recurrent depressive episodes by structured interview. The rrMDD-patients showed biases toward emotionally negative stimuli, faster responses to negative self-relevant characteristics in the emotional categorization, better recognition of sad faces, worse recognition of neutral faces with more misclassifications as angry or disgusting faces and less misclassifications as neutral faces (0.001 < p < 0.05). Of these, the number of misclassifications as angry and the overall performance in the emotional memory task were significantly associated with the time to recurrence (p ≤ 0.04), independent of residual symptoms and number of previous episodes. In a support vector machine data-driven model, prediction of recurrence-status could best be achieved (relative to observed recurrence-rate) with demographic and childhood adversity parameters (accuracy 78.1%; 1-sided p = 0.002); neuropsychological tests could not improve this prediction. Our data suggests a persisting (mood-incongruent) emotional bias when patients with recurrent depression are in remission. Moreover, these persisting biases might be mechanistically important for recurrence and prevention thereof.
The Role of Magnetic Field in Molecular Cloud Formation and Evolution

We review the role that magnetic field may have on the formation and evolution of molecular clouds. After a brief presentation and main assumptions leading to ideal MHD equations, their most important correction, namely the ion-neutral drift is described. The nature of the multi-phase interstellar medium (ISM) and the thermal processes that allows this gas to become denser are presented. Then we discuss our current knowledge of compressible magnetized turbulence, thought to play a fundamental role in the ISM. We also describe what is known regarding the correlation between the magnetic and the density fields. Then the influence that magnetic field may have on the interstellar filaments and the molecular clouds is discussed, notably the role it may have on the prestellar dense cores as well as regarding the formation of stellar clusters. Finally we briefly review its possible effects on the formation of molecular clouds themselves. We argue that given the magnetic intensities that have been measured, it is likely that magnetic field is i) responsible of reducing the star formation rate in dense molecular cloud gas by a factor of a few, ii) strongly shaping the interstellar gas by generating a lot of filaments and reducing the numbers of clumps, cores and stars, although its exact influence remains to be better understood. % by a factor on the order of at least 2. Moreover at small scales, magnetic braking is likely a dominant process that strongly modifies the outcome of the star formation process. Finally, we stress that by inducing the formation of more massive stars, magnetic field could possibly enhance the impact of stellar feedback.
Effective Augmentation of Creativity-Involving Productivity Consequent to Spontaneous Selectivity in Knowledge Acquisition

The results of many studies have suggested that we actively select information from the environment. However, the functional consequences of such selectivity in knowledge acquisition remain unclear, even though it is a vital factor in determining the characteristics of our future knowledge and cognition. We hypothesized that spontaneous selectivity in knowledge acquisition results in effective augmentation of productivity, especially in creativity-demanding task. To test this, we conducted experiments in which subjects acquired novel compositional words during their rapid presentation, evaluated memory confidence rates for the acquired words, and then produced essays based on these words. First, in experiment 1, we showed that the level of confidence in the recognition memory for the words positively related with the length of the essays (a measure of creativity-involving productivity in quantity). Additionally, we found that the semantic distance from the essay to the components of the compositional word (a measure of creative-productivity in quality) was farther for the word with higher memory confidence than for the word with lower memory confidence, suggesting creative leaps when writing the former. While this result supported our hypothesis, it might also reflect better memory that was independent of spontaneous selection. Thus, in a different subject group, we conducted a similar experiment (experiment 2) in which two of the 20 compositional words were presented more often (five times per block) to force memorization. Again, consistent with our hypothesis, essays based on spontaneously memorized words (presented once per block) were significantly longer than those produced using the forcedly memorized words. Therefore, better memory per se did not explain the higher productivity. Instead, these results suggested that the higher creativity-involving productivity was consequent to spontaneous selectivity in the knowledge acquisition. Additionally, we propose a possible mechanism for the observed results based on the results of a neural network simulation. In this simulation, we found that novel information that was assigned to locations more easily accessible to the entire network was better assimilated and therefore selectively acquired. Based on this simulation, we moderately suggest that spontaneously acquired knowledge effectively confers productivity because it effectively activates large parts of the neural networks.
The relationship between glycated haemoglobin levels and the risk of giant cell arteritis – a case–control study

Abstract Objectives The EULAR core dataset for observational studies in GCA does not include glycated haemoglobin (HbA1c). A multivariable score to stratify the pre-test probability of GCA also does not include HbA1c. There have been contradictory reports about diabetes mellitus being a risk factor for GCA. We report the first study analysing the relationship of pre-diagnosis HbA1c with the risk of GCA. Methods This was a single-centre retrospective case–control study conducted in Norfolk, UK. All GCA cases were diagnosed with imaging or biopsy. Each case was assigned two age- and sex-matched controls. The primary outcome measure was the glycaemic status (HbA1c categorized into euglycaemia, pre-diabetes or diabetes mellitus) at diagnosis between cases and controls. The HbA1c was compared between two groups using the Mann–Whitney U test. The glycaemic categorization was compared using the χ2 test. Results One hundred and twelve cases and 224 controls were included. The median (interquartile range) of HbA1c of cases and controls was 40 (37, 43) and 41 (39, 47) mmol/mol (P < 0.001), respectively. Ten of 112 cases and 52 of 224 controls had diabetes mellitus. The χ2 test demonstrated a significant interaction between glycaemic state and GCA (P = 0.006). Individuals with diabetes mellitus had an odds ratio (95% CI) of 0.32 (0.13, 0.74) (P = 0.008) of having GCA compared with euglycaemic individuals. Conclusion HbA1c in the diabetic range reduces the probability of GCA. HbA1c should be considered in any multivariable score to calculate the risk of GCA, and in future development of diagnostic and classification criteria. There is a need for an epidemiological study looking at the possibility of a protective nature of diabetes mellitus against GCA or whether it is only a mimic.
The Development of Learning Module of Educational Administration and Educational Institute for Students in Master of Education Degree in Thailand

The knowledge creation for the efficiency, quality, and the effectiveness, learning achievement and through learning module the developed learning of Educational Administration and Educational Institute for students. However, knowledge creation also be used to learning module of school-based supervision for students? This paper describes the application of basic knowledge creation on module of “Educational Administration and Educational Institute for students,” in master of Education degree in Thailand. Changing demographics are the threatening the ability of degree students studying master degree program in educational administration, Northeastern University, to sustain their viability as traditional methods of passing knowledge creation from generation to next are circumvented by the movement of young. Knowledge creation as a way developed learning module of school-based supervision for students were: 1) the efficiency of action process in developing Learning Module was 84.61, the efficiency of knowledge was 83.00 which was higher than the specified criterion 80/80, 2) the quality of the developed Learning Module evaluated by the experts, in overall, was at “The Highest” level. Considering each aspect, the level of propriety, congruency, feasibility, and utility aspects, was also at “The Highest” level, 3) the effectiveness index in learning management of students learning through Learning Module was 0.6569 out of full score of 1.00 or the students had an increased knowledge of 65.69%, 4) as for learning achievement of students learning through Learning Module at the post-test scores were significantly higher than the pretest at . 05, 5) regarding students learning through Learning Module there were no significant differences between post-test learning achievement and the 2 weeks post-test learning achievement scores. It was indicated that the students learning through Learning Module of “Educational Administration and Educational Institute for students”, attained learning retention, and 6) the students had their satisfaction on learning through Learning Module in overall, at “The Highest” level.