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This paper presents the particle swarm optimization (PSO) algorithm in conjuction with the fuzzy logic method in order to achieve an optimized tuning of a proportional integral derivative controller (PID) in the DTC control loops of dual star induction motor (DSIM). The fuzzy controller is insensitive to parametric variations, however, with the PSO-based optimization approach we obtain a judicious choice of the gains to make the system more robust. According to Matlab simulation, the results demonstrate that the hybrid DTC of DSIM improves the speed loop response, ensures the system stability, reduces the steady state error and enhances the rising time. Moreover, with this controller, the disturbances do not affect the motor performances.

Marine transportation has been faced with an increasing demand for containerized cargo during the past decade. Marine container terminals (MCTs), as the facilities for connecting seaborne and inland transportation, are expected to handle the increasing amount of containers, delivered by vessels. Berth scheduling plays an important role for the total throughput of MCTs as well as the overall effectiveness of the MCT operations. This study aims to propose a novel island-based metaheuristic algorithm to solve the berth scheduling problem and minimize the total cost of serving the arriving vessels at the MCT.

A universal island-based metaheuristic algorithm (UIMA) was proposed in this study, aiming to solve the spatially constrained berth scheduling problem. The UIMA population was divided into four sub-populations (i.e. islands). Unlike the canonical island-based algorithms that execute the same metaheuristic on each island, four different population-based metaheuristics are adopted within the developed algorithm to search the islands, including the following: evolutionary algorithm (EA), particle swarm optimization (PSO), estimation of distribution algorithm (EDA) and differential evolution (DE). The adopted population-based metaheuristic algorithms rely on different operators, which facilitate the search process for superior solutions on the UIMA islands.

The conducted numerical experiments demonstrated that the developed UIMA algorithm returned near-optimal solutions for the small-size problem instances. As for the large-size problem instances, UIMA was found to be superior to the EA, PSO, EDA and DE algorithms, which were executed in isolation, in terms of the obtained objective function values at termination. Furthermore, the developed UIMA algorithm outperformed various single-solution-based metaheuristic algorithms (including variable neighborhood search, tabu search and simulated annealing) in terms of the solution quality. The maximum UIMA computational time did not exceed 306 s.

Some of the previous berth scheduling studies modeled uncertain vessel arrival times and/or handling times, while this study assumed the vessel arrival and handling times to be deterministic.

The developed UIMA algorithm can be used by the MCT operators as an efficient decision support tool and assist with a cost-effective design of berth schedules within an acceptable computational time.

A novel island-based metaheuristic algorithm is designed to solve the spatially constrained berth scheduling problem. The proposed island-based algorithm adopts several types of metaheuristic algorithms to cover different areas of the search space. The considered metaheuristic algorithms rely on different operators. Such feature is expected to facilitate the search process for superior solutions.

The purpose of this paper is to examine how participants in diverse schools newly implement the Sanford Harmony social and emotional learning (SEL) program and perceive its benefits for students and overall school climate.

The current study employed a convergent parallel mixed-methods design with a sample of five elementary schools in the western USA. Measures included classroom observations, administrator interviews, teacher interviews and focus groups, student focus groups, and a teacher questionnaire.

Findings indicated expected variation in implementation across schools, although all participants reacted favorably to the program and, importantly, would recommend the program to others. Administrators, teachers and students all saw the value of the program, particularly in terms of student relationship building and improved school climate. Implementation challenges experienced by schools were consistent with research on diffusion of innovations.

The present study demonstrates the importance of effective professional development, continued support, collective decision making and intentional integration of the SEL program throughout a school to support robust implementation and ultimately achieve intended outcomes.

Researchers have yet to examine in-depth implementation of the Sanford Harmony program and how best to support scale-up and more intentional implementation in schools. As implementation fidelity is a key component of a program achieving intended outcomes, the findings from the present study contribute to the knowledge base of supporting SEL program implementation.

The key concern nowadays is smartphone addiction and user profiles. Following the risk and protective factors framework, the authors aim to characterize smartphone users according to two levels: (1) individual: referred to the use (i.e. boredom proneness, compulsive app downloading smartphone addiction) and (2) microsystem: referred to family and peers (i.e. family harmony and phubbing). Besides, the authors will derive useful managerial implications and strategies.

First, an extensive literature revision and in-depth interviews with experts were employed to identify the addiction-related variables at the individual and microsystem level. Second, information was collected from a sample of 275 Spanish smartphone users, and a K-means clustering algorithm was employed to classify smartphone users.

The proposed traffic lights schema identifies three users’ profiles (red, yellow and green) regarding their smartphone addiction and considering individual and microsystem critical variables.

This study proposes a practical and pioneer traffic lights schema to classify smartphone users and facilitate each cluster's strategies development.

一個大家現時頗關注的事項就是智慧型手機癮和用戶檔案。遵循著風險和保護因子框架,我們擬根據兩個層面,去描述智慧型手機使用者的特性:(一) 個人層面: 這是指手機的使用方面 (即是:無聊傾向、強制性應用程式的下載、智慧型手機癮), 以及(二)微系統層面:這是指家庭和同儕 (即是:家庭和諧和低頭族)。此外,我們也會探討從中得到管理方面的啟示和一些有用的策略。

我們首先進行廣泛的文獻回顧和深入訪問有關的專家,以確定在個人和微系統層面上與入迷成癮有關的變數。繼而從275名西班牙智慧型手機使用者中收集資料,然後以K均值聚類算法把智慧型手機使用者分類。

我們提出的紅綠燈圖表,就用戶的智慧型手機癮,並考慮了個人和微系統的關鍵變數,識別了三個用戶檔案(紅、黃、綠)。

本研究提出一個實用及有倡導性的紅綠燈圖表,把智慧型手機使用者分類,並促進每個群集戰略的制定。

This study aims to understand, from the analysis of the work of a Brazilian network of non-governmental organizations (NGOs), how advocacy on human rights issues is developed to defend causes before the legislative branch, identifying its contributions and effectiveness. For this, were observed, the strategies and tactics employed in the implementation of two advocacy campaigns promoted by a Brazilian NGOs network.

The research adopts the method of inductive investigation with a qualitative approach and uses the techniques of semi-structured in-depth interviews and documentary research. The paper is developed within the scientific field of public relations (PR), uses as reference the critical theory and the rhetorical theory of PR, and is based on the concept of advocacy.

Some results of the advocacy are observed, such as the greater awareness of political decision-makers, in addition to the influence on the definition of the political agenda and on the action of the political decision-makers.

Among the limitations of this study are the time span for analyzing the campaigns' actions, which could be extended to observe long-term results, as well as the dedication of the study exclusively to the legislative branch since the campaigns also sought to influence decision-making in the executive branch.

The results found encourage the strengthening of the democratic environment since it increases the power and influence of civil society in the political decision-making of the legislative branch.

The study showed that advocacy, as a PR activity, increases civil society participation in political decisions.

Entrepreneurship and the development of new business continue to be the forefront of socioeconomic development in virtually all economies today. Despite evidence of increasing research into entrepreneurial growth, the existing research is limited by the fact that most studies define entrepreneurial growth as a unidimensional construct and operationalize it as “realized” growth relying on financially based measures. Consequently, this article has two objectives: (1) to develop a set of accurate and comprehensive entrepreneurial growth measures; and (2) to test a series of hypotheses regarding precursors of growth intentions‐more specifically, to what extent, infrastructure factors affect entrepreneurial growth intentions. These two questions were examined using Entrepreneurial Profile Questionnaire (EPQ) in the context of Romania.

Results from factor analysis revealed refined patterns of entrepreneurial growth, including resource aggregation, market expansion, and technological improvement. The relationships between infrastructure and entrepreneurial growth were tested using a multiple regression model. Overall, it was posited that infrastructure is positively related to entrepreneurial growth. However, in most of the cases, the opposite proved to be true. These findings suggest that the Romanian entrepreneurs would pursue expansion plans in spite of the obstacles thrown into their path. Perhaps they have already developed strategies about overcoming those obstacles and in that process have developed the strength, ingenuity, and confidence to grow their new business ventures. Perhaps the many years that Romanians were confronted with numerous political and economical obstacles have prepared them to be much more flexible and adaptive.These counter-intuitive findings reflect on the hardiness and perseverance of the Romanian entrepreneurs.

This paper aims to develop a conceptual framework on how the representativeness heuristic operates in the decision-making process. Specifically, the authors unbundle representativeness into its building blocks: search rule, stopping rule and decision rule. Furthermore, the focus is placed on how individual-level cognitive and behavioral factors, namely experience, intuition and overconfidence, affect the functioning of this heuristic.

From a theoretical standpoint, the authors build on dual-process theories and on the adaptive toolbox view from the “fast and frugal heuristics” perspective to develop an integrative conceptual framework that uncovers the mechanisms underlying the representativeness heuristic.

The authors’ conceptualization suggests that the search rule used in representativeness is based on analogical mapping from previous experience, the stopping rule is the representational stability of the analogs and the decision rule is the choice of the alternative upon which there is a convergence of representations and that exceeds the decision maker's aspiration level. In this framework, intuition may help the decision maker to cross-map potentially competing analogies, while overconfidence affects the search time and costs and alters both the stopping and the decision rule.

The authors develop a conceptual framework on representativeness, as one of the most common, though still poorly investigated, heuristics. The model offers a nuanced perspective that explores the cognitive and behavioral mechanisms that shape the use of representativeness in decision-making. The authors also discuss the theoretical implications of their model and outline future research avenues that may further contribute to enriching their understanding of decision-making processes.

Tourism on wellness is a rapidly expanding segment of the travel industry; nevertheless, it is still in its infancy, and more study research is needed to develop a scientific foundation for health and wellness tourism. The study uses bibliometric indicators like as citations to determine the field structure on wellness tourism from 1998 to 2021, and the VOSviewer software to map the significant trends in wellness tourism (WT) area, to examine the present situation.

To reach this objective, the theme of “wellness tourism” was searched in the “Scopus” database, and bibliometrics data on the publications were obtained. In total, 414 papers were found during the initial search, which was then narrowed according to the criteria. Using this strategy, the author discovered 386 records, and after removing 4 duplicates and 1 irrelevant document, the refining produced 381 related documents. The most-cited papers, significant authors, co-citation of references, sources and authors were all investigated for the publications related to WT.

According to this report, research into wellness tourism has increased in recent years. The authors discovered two papers with over 238 “Scopus” citations and a total of 10 studies with 1414 citations. According to Scopus, the document Napier et al. receives 36.5% of citations each year. There were a total of 804 authors who published about WT between 1998 and 2021, with Smith, M, Voigt, c, and Puczkó, L being the most-cited reference authors in the subject. Han h. has the highest index of 56 of all the authors.

The “Scopus” database was used for bibliometric analysis, although the VOSviewer was used exclusively. This considered as a first study to utilize a bibliometric method to address this research gap, identifying the tools, journals, and, most crucially, conceptual subdomains like spa, yoga, therapy, spirituality and trekking that will be significant in future research.

Using a bibliometric analytic approach, this article looked at papers on wellness tourism published between 1998 and 2021. Thus, its goal is to learn more about wellness tourism and to enlighten wellness tourism scholars on the field's structure.