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Is it true that if I-positions change, the motor behavior of the individual noticeably changes as well, as the dialogical self theory predicts? Two experimental studies have been conducted to evaluate the effects of shifting from one I-position to another on motor behavior. The first experiment showed that people with different I-positions activated (I-as-a-child, I-as-an-elderly-person and I-as-an-adult) present different levels of motor activity while sitting on a swivel chair and having their bodies' motor activity recorded. In the second experiment, participants were consecutively primed with two different or two same I-positions. Results showed that the activation of two different I-positions caused motor activity to change to a higher extent in comparison to a control condition where two same I-positions were activated one after another. In both experiments the differences were observed for both accelerometry measures and video recording measures. The findings are congruent with the dialogical self theory: people's motor activity is dependent on the currently active I-position. [ABSTRACT FROM AUTHOR]

The issue of how relational identity about leader-subordinate affects each other’s behavior is getting attention. This study took the perspective of social cognitive schema to clarify the dimensions and contents of leader-subordinate relational identity if we can understand how leader’s identity the relationship between leaders and subordinates, it will guide leaders to show different leadership behaviors, which will become an essential factor affecting subordinate attitudes, behaviors, and the quality of subordinate relationships. How subordinate identity the relationship between leaders and subordinates will also affect how subordinates respond to leaders and show different work attitudes and behaviors. Therefore, exploring leader-subordinate relational identity as having crucial theoretical value and practical application contributions. Based on this, the researcher systematically collected and analyzed the relevant research, aiming to explain the concept of leader-subordinate relational identity, clarify its theory and content, and understand the current study, measurement, and the extension of the relationship network of this concept, etc. Finally, the implications of theory, practice, and, limitations, future directions were also discussed. In the hope that more scholars will invest in the research field of leader-subordinate relational identity. [ABSTRACT FROM AUTHOR]

Objective: Children of parents with a mental illness are at heightened risk to develop a mental illness themselves due to genetics and environmental factors. Although parenting stress (PS) is known to be associated with increased psychopathology in parents and children, there is no study investigating PS multimodally in a sample of parents with a mental illness. This study aims to compare PS of parents with and without a mental illness and further to examine the relationship between PS and psychopathology of children. Methods: Participants were parents with a mental illness and parents without a mental illness and their children aged four to sixteen years. We assessed PS multimodally using a questionnaire, parents' evaluation of children's behavior (relational schemas) and psychophysiological arousal of parents during free speech task. Results: Self-reported PS was increased, and evaluation of children's behavior was more negative and less positive in parents with a mental illness compared to parents without a mental illness. Children's psychopathology was associated with self-reported PS and relational schemas of parents. Regarding psychophysiological arousal, parents with a mental illness showed reduced reactivity in heart rate from baseline to free speech task in comparison to parents without a mental illness. Conclusions: Our findings highlight the importance of implementing intervention programs to reduce PS for parents and children. In particular, parents with a mental illness might benefit from specific intervention programs in order to interrupt the transgenerational transmission of mental disorders. [ABSTRACT FROM AUTHOR]

ObjectiveChildren of parents with a mental illness are at heightened risk to develop a mental illness themselves due to genetics and environmental factors. Although parenting stress (PS) is known to be associated with increased psychopathology in parents and children, there is no study investigating PS multimodally in a sample of parents with a mental illness. This study aims to compare PS of parents with and without a mental illness and further to examine the relationship between PS and psychopathology of children.MethodsParticipants were parents with a mental illness and parents without a mental illness and their children aged four to sixteen years. We assessed PS multimodally using a questionnaire, parents’ evaluation of children’s behavior (relational schemas) and psychophysiological arousal of parents during free speech task.ResultsSelf-reported PS was increased, and evaluation of children’s behavior was more negative and less positive in parents with a mental illness compared to parents without a mental illness. Children’s psychopathology was associated with self-reported PS and relational schemas of parents. Regarding psychophysiological arousal, parents with a mental illness showed reduced reactivity in heart rate from baseline to free speech task in comparison to parents without a mental illness.ConclusionsOur findings highlight the importance of implementing intervention programs to reduce PS for parents and children. In particular, parents with a mental illness might benefit from specific intervention programs in order to interrupt the transgenerational transmission of mental disorders.

The data produced by various services should be stored and managed in an appropriate format for gaining valuable knowledge conveniently. This leads to the emergence of various data models, including relational, semi-structured, and graph models, and so on. Considering the fact that the mature relational databases established on relational data models are still predominant in today’s market, it has fueled interest in storing and processing semi-structured data and graph data in relational databases so that mature and powerful relational databases’ capabilities can all be applied to these various data. In this survey, we review existing methods on mapping semi-structured data and graph data into relational tables, analyze their major features, and give a detailed classification of those methods. We also summarize the merits and demerits of each method, introduce open research challenges, and present future research directions. With this comprehensive investigation of existing methods and open problems, we hope this survey can motivate new mapping approaches through drawing lessons from each model’s mapping strategies, as well as a new research topic - mapping multi-model data into relational tables. [ABSTRACT FROM AUTHOR]

Counterpublic research highlights the significance of counter-discourse in challenging dominant public spheres. Yet, less focus has been given to how counterpublic actors could destabilize the relationships within a dominant public to foster counter-discourse. I examine the creation of a feminist counterpublic within Twitter K-pop fandom to understand how oppositional actors can transform the toxic technocultures of the dominant public to create a counterpublic. Formed by feminist K-pop fans, this counterpublic defied toxic relational norms of the mainstream K-pop fandom, cultivating a culture where fans could critique problematic K-pop star text without renouncing their fan identity. I bring the concepts of relational schemas and scripts to the study of counterpublics to demonstrate how creating an alternative schema can be a tool of resistance. To do so, I highlight how feminist fans reappropriated existing relationship scripts and formulated new ones to modify the relational schema of the mainstream Kpop fandom. I argue that these relational strategies helped feminist fans regroup by creating opportunities for productive coexistence, facilitating an alternative relational schema around a critical fan identity. [ABSTRACT FROM AUTHOR]

In today's highly competitive world, the pursuit of accurate, on-time, up-todate, and complete information has become a cornerstone of the business's success. By gathering and organizing structured and relevant data, different by their nature, origin, volume, and scope, databases remain to be a valuable and trustworthy source of information in many areas. In the sphere of financial management, financial databases play a key role not only in evaluating the financial health of a business and in analyzing a business's performance but also in research and financial modeling. The paper aims to propose a generic relational database design suitable for the acquisition of relevant data about financial statements of business subjects based on therelational data model and using the methodology of designing relational databases, including the first two phases: the conceptual and the logical design. The resulting relational database schema can be easily implemented in any relational database management system, whilst the physically implemented database can provide a solid platform for organizing, storing, processing, and retrieving valuable financial information using SQL scripts. [ABSTRACT FROM AUTHOR]

The relationship marketing literature largely overlooks the most common type of loyal consumer, one who feels no personal attachment to a firm (Guo et al., Journal of the Academy of Marketing Science,45(3), 357–376, 2017). To explain why so many consumers engage in this pragmatic form of loyalty, we bridge the loyalty and relationship marketing literature to reconsider the conceptualization and measurement of loyalty propensity. In particular, the present research provides evidence of loyalty propensity as a multi-dimensional relational schema that draws from consumers' self-identity as a moral actor and less altruistic traits (e.g., deal proneness). As per these theoretical foundations, we develop a two-dimensional scale for loyalty propensity and assess it across four studies. The results indicate that loyalty propensity predicts loyalty outcomes (e.g., loyalty and economic exchange), whereas relational constructs (i.e., preference for closeness) predict relational outcomes (e.g., attachment and social exchange). A field study shows that loyalty propensity strongly predicts consumer responsiveness to a firm's loyalty investments (e.g., sales agents' customer orientation). Overall, the present research provides a way to expand the view of consumers as either relational or transactional. [ABSTRACT FROM AUTHOR]

Universities and accompanying faculties, competing to ensure the highest possible quality and status, face the challenge of being continuously evaluated and ranked, both internally and externally. One of the many criteria in such evaluation is the assessment of key performance indicators (KPIs) vis-à-vis published research papers. The general aim of this paper is the definition of a formal KPI evaluation framework for assessing the research publications (published papers and books), written by researchers in universities, faculties, and other research-oriented institutions. It is accomplished in two steps: (1) by proposing a conceptual and logical design of a generic relational database that can provide a solid foundation for acquisition and management of all relevant data related to research publications, based on the projected corresponding Enhanced EntityRelationship (EE-R) diagram (a conceptual design) and the resulting relational database schema (a logical design); and (2) by addressing relevant KPIs via Structured Query Language (SQL) scripts/queries using the standard SQL notation against the resultant relational design. Since the proposed framework is both generic and platform-independent, it can be easily implemented in various relational database management systems (DBMSs) to provide significant insights into the research performances of the academic staff vis-à-vis their published research publications [ABSTRACT FROM AUTHOR]

Model transformation (MT) contributes a major role in the model-driven engineering (MDE), which are used to transfer the models among various languages to refactor and simulate the models or to obtain the useful codes from the models. Thus, the need for MT in MDE is very important, but the practical methods are not suitable for the detection of errors in transformations. This paper proposes an advanced algorithm, called fractional whale optimization integrated adaptive dragonfly (F-WOADF) algorithm to perform the MT from the class diagram (CLD) to relational schema (RS) model. The proposed algorithm modifies the adaptive dragonfly (ADF) algorithm with the concept of whale optimization algorithm (WOA) using the fractional theory. The UML CLD is transformed into the RS model using the optimal blocks that are selected with the use of the proposed algorithm. The performance of the F-WOADF method is evaluated using automatic correctness (AC), and fitness measure. The proposed method produces the maximum AC of 0.8583 and the maximum fitness measure of 0.8984 that indicates the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

Based on the theoretical model regarding Leader-Subordinate Relational Identity (LSRI) from the work of Tsai, Cheng, and Chou (2015), we developed the construction and measurement of LSRI scale. We also explore the relationships between leader’s LSRI and leadership behavior, subordinate’s LSRI and subordinate effectiveness to further verify the validity of the scale. There were four studies conducted in this research: Study 1, we used Critical Incident method to collect the contents of LSRI and creat the items of LSRI based on inductive approach. Study 2, employed the Proportion of Substantive Agreement method to verify the content validity of the scale. Study 3, based on the scale from Study 1 and Study 2, the Exploratory Factor Analysis (EFA) was conducted for leader sample to filter items and to test its internal consistency and reliability. Besides, Confirmatory Factor Analysis (CFA) was used with subordinate sample to verify the fitness index to ensure the discrimination among four constructs. Study 4, with the sample of 350 subordinates and 58 leaders, the effects of subordinate’s LSRI on subordinate’s effectiveness and leader’s LSRI on leader’s leadership behavior were examined to verify the relational validity of the scale. Lastly, the major findings, contributions, limits, and future directions of this research were also discussed. [ABSTRACT FROM AUTHOR]

Model Transformation (MT) has led the researchers to concentrate more in the field of software engineering. MT focuses mainly on transforming the input model to the target model to make it easily understandable. For the transformation, using optimal rules among a set of rules makes the design simpler. This paper proposes an algorithm, namely Whale Optimization integrated Adaptive Dragonfly (WOADF) algorithm, which integrates Adaptive Dragonfly (ADF) algorithm and Whale Optimization Algorithm (WOA), for transforming class diagrams (CLDs) to Relational Schema (RS). Further, the UML CLD is transformed into the RS model based on specific rules incorporated by the proposed WOADF algorithm. The fitness function of the proposed model is evaluated to select the optimal rule, by including the test cases to evaluate the optimal blocks. Then, the optimal blocks obtained from the proposed WOADF algorithm are used for achieving the transformation from CLD to the RS model. The effectiveness of the proposed WOADF algorithm is checked with Automatic Correctness (AC) and fitness values and is evaluated to be the best when compared to other existing techniques with maximum AC value measured to be 0.812 and fitness value to be 0.897, respectively. [ABSTRACT FROM AUTHOR]