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Accurate and automatic clothing pattern making is very important in personalized clothing customization and virtual fitting room applications. Clothing pattern generating as well as virtual clothing simulation is an attractive research issue both in clothing industry and computer graphics.

Physics-based method is an effective way to model dynamic process and generate realistic clothing animation. Due to conceptual simplicity and computational speed, mass-spring model is frequently used to simulate deformable and soft objects follow the natural physical rules. We present a physics-based clothing pattern generating framework by using scanned human body model. After giving a scanned human body model, first, we extract feature points, planes and curves on the 3D model by geometric analysis, and then, we construct a remeshed surface which has been formatted to connected quad meshes. Second, for each clothing piece in 3D, we construct a mass-spring model with same topological structures, and conduct a typical time integration algorithm to the mass-spring model. Finally, we get the convergent clothing pieces in 2D of all clothing parts, and we reconnected parts which are adjacent on 3D model to generate the basic clothing pattern.

The results show that the presented method is a feasible way for clothing pattern generating by use of scanned human body model.

The main contribution of this work is twofold: one is the geometric algorithm to scanned human body model, which is specially conducted for clothing pattern design to extract feature points, planes and curves. This is the crucial base for suit clothing pattern generating. Another is the physics-based pattern generating algorithm which flattens the 3D shape to 2D shape of cloth pattern pieces.

Research on leaders’ knowledge management systems focuses exclusively on how leaders gather and disseminate knowledge in collaboration with external actors. Not much is known about how leaders address the psychological aspects of employees and strategize internal communication. In addition, while previous work has treated high uncertainty as a default feature of crisis, this study aims to propose that perceived uncertainty varies in experience/meaning and has a crucial bearing on the relative balance of cognitive/emotional load on the leader and behavioral/psychological responses.

The authors contribute by qualitatively examining the role of leader knowledge systems in designing communication strategies in the context of the COVID-19 crisis by investigating communication characteristics, style, modes and the relatively unaddressed role of compassion/persuasion. In this pursuit, the authors interviewed 21 C-suite leaders, including chief executive officers, chief marketing officers, chief financial officers, chief human resource officers and founders, and analyzed their data using open, axial and selective coding, which were later extracted for representative themes and overarching dimensions.

Drawing from grounded theory research, the authors present a framework of knowledge systems and their resultant communication with employees in high uncertain and low uncertain crises. The authors highlight interactions of a set of concepts – leaders’ preparedness, leaders’ support to employees tailored communication adapted to perceived uncertainty, leading to enhanced trust – in the achievement of outcomes related to balancing operational and relational systems with employees. The findings suggest that a structured process of communication helps employees mitigate any concern related to uncertainty and feel confident in their leadership.

The research has implications for leaders in managing their knowledge systems, for human esources practitioners in designing effective internal communication programs, as well as for scholars in knowledge management, communication and leadership.

Attracting resources (financial and non-financial), supporters and the community’s attention to sports and physical activity has become essential for local sports associations (LSAs). Corporate social responsibility (CSR) initiatives are innovative and less imitable tools for strengthening relationships with customers (Lim et al., 2018), and there needs to be relevant research on CSR and the variables discussed in this study at the level of small sports organizations. Moreover, past research has focused on professional sports organizations in developed and non-Islamic countries. So, the following research questions are: What is the influence of CSR initiatives on the organizational reputation, brand equity and customer satisfaction of LSAs operating in the context of recreational sports, particularly in Islamic developing countries, and how does this relationship evolve within the framework of small sports organizations?

Participants (n = 290) consisted of all customers who used the services of LSAs in the Islamic Republic of Iran). This research seeks to measure the relationship between variables within a causal model based on structural equation modeling.

This study critically examines the connection between CSR, customer satisfaction, organizational reputation and brand equity in LSAs. This study presents a model that explores how CSR influences customer satisfaction, reputation and brand equity in LSAs in developing countries.

Consequently, customers are likely to feel more satisfied with LSAs that demonstrate a commitment to CSR, and this leads to evaluations of the organization’s reputation and brand equity, ultimately resulting in outcomes for them.

This research presents a comprehensive theoretical model that examines the relationship between CSR, customer satisfaction, reputation and brand equity of LSAs in developing Islamic countries. LSAs must understand and recognize customer interests in social issues and their response to various CSR programs.

This paper aims to present a novel adaptive sliding mode control (ASMC) method based on the predefined performance barrier function for reusable launch vehicle under attitude constraints and mismatched disturbances.

A novel ASMC based on barrier function is adopted to deal with matched and mismatched disturbances. The upper bounds of the disturbances are not required to be known in advance. Meanwhile, a predefined performance function (PPF) with prescribed convergence time is used to adjust the boundary of the barrier function. The transient performance, including the overshoot, convergence rate and settling time, as well as the steady-state performance of the attitude tracking error are retained in the predetermined region under the barrier function and PPF. The stability of the proposed control method is analyzed via Lyapunov method.

In contrast to conventional adaptive back-stepping methods, the proposed method is comparatively simple and effective which does not need to disassemble the control system into multiple first-order systems. The proposed barrier function based on PPF can adjust not only the switching gain in an adaptive way but also the convergence time and steady-state error. And the efficiency of the proposed method is illustrated by conducting numerical simulations.

A novel barrier function based ASMC method is proposed to fit in the amplitude of the mismatched and matched disturbances. The transient and steady-state performance of attitude tracking error can be selected as prior control parameters.

This study aims to provide a systemic and integrated view of how Industry 4.0 and its enabling technologies affect companies' internal and external environments. It offers a comprehensive view of the contribution about ten years after the start of the Fourth Industrial Revolution.

The study performs a systematic literature review based on Industry 4.0 management literature. Analyzing the results of the 308 final papers in the sample made it possible to build a theoretical model to explain the contribution of Industry 4.0 to the internal and external environment of the company.

The results highlight the contribution of Industry 4.0 to the processes and environment of the company by providing a systemic and integrated view, highlighting the most applied enabling technologies and their internal, external, and combined usefulness in business processes.

Finally, the paper provides a broad view of the Industry 4.0 topic ten years after its origin through an extensive literature analysis that allows us to highlight the significant studies and the areas still under-researched by researchers and opens the debate on the Industry 5.0 scenario.

The model makes it possible to appreciate the role of Industry 4.0 and its enabling technologies in companies in a broad and systemic view and to understand, from a managerial point of view, the interactions, synergies, and possibilities within processes and the reflection on the external environment.

Work is central to human life. It requires high mental and emotional involvement from organizational leaders, whose decisions have far-reaching impacts. Currently, industrial and technological societies struggle with growing problems of trust in leadership, mental health, feelings of emptiness and the search for relevant meaning, which highlights the importance of attending to spirituality at work. This study aims to fill two main gaps: the need for empirical research on spirituality in organizational leaders, and access to the meanings and experiences of leaders themselves.

Qualitative data from 25 Portuguese organizational leaders were collected through in-depth interviews. We followed a phenomenological approach to reveal participants' own meanings and experiences of spirituality. Content analysis was performed to identify emergent categories and a framework of spirituality development.

The results suggest the participant’s plural views and spirituality practices, which generate common achievements – Ways to Inner. Relations of leaders’ spirituality with their development and integration at work are also evidenced – Ways to Wisdom. A spirituality development framework is presented with aspects revealed in leaders’ ways, from deepening individual issues to the orientation for existential impacts.

This study proposes a framework of spirituality development based on empirical data, with the potential for adaptation to various professional contexts. Spirituality is approached as a human dimension in leaders, as whole beings and a decisive dimension of present organizational change towards a holistic work paradigm.

In many parts of the world, labor shortages are likely to affect the activities of SMEs. Consequently, SMEs needs to adopt attractive HRM practices. This study analyzes the impact of one type of sustainable HRM (SD-HRM) on employees’ attraction and retention factors such as employees’ motivation, the quality of image and customer satisfaction in SMEs context. It also looks at the impact of SME managers’ value-intentions, calculative (egoist-strategic) and non-calculative (altruist-institutional) on this relationship.

Drawing on part of a survey of 409 Quebec SME managers’ commitment to sustainability, a mediation model is used to consider the impact of the manager’s values-intentions on potential workforce attraction and retention factors.

The results show that the implementation of SD-HRM practices has a positive impact on the outcomes considered, as it was expected, but show the counterintuitive results that it is altruistic values (non-calculative), rather than egoistic values, that helps to maximize the desired effects.

SME managers could adopt SRHRM practices to attract and retain employees. To maximize positive impacts, they might strategically integrate this approach while remaining authentic to their altruistic values. Purely institutional intentions are insufficient. By being both personally committed and strategic, managers can improve both employee well-being and organizational performance.

The original aspect of this research is the integration of expectations of spin-offs (positive or neutral) in relation to SD-HRM, based on the values and intentions of SME managers. This allows to recognize the multiple profiles, justifications and objectives of SMEs, which do not form a monolithic whole and need to be understood and supported by considering their differences.

This research aims to scrutinize the dwelling of digital nomads in postmodernism’s social, cultural and political context and to illuminate their post-tourist characteristics.

Using a conceptual approach and sociological considerations, the study closely investigates the characteristics of digital nomads and offers a postmodernist ontological, epistemological and methodological stance.

The study highlights the ambiguity of the concepts of digital nomadism and tourism. Furthermore, since every digital nomad is a potential tourist with a work-leisure balance, it points out the need to grasp tourism and work from a different perspective than the dichotomy of modernism.

The postmodernist perspective offers a fruitful approach to illuminate the social conditions in which digital nomads dwell and concomitantly encompasses the tourist and nomad by rejecting dichotomies. The study also points out the need to place the agency of digital nomads in a broader context and analyze these mobilities from local and global interactions in addition to the nomads' point of view.

This study provides a new perspective on the relationship between digital nomads, postmodern conditions and their role as post-tourists.

In response to the issue of traditional algorithms often falling into local minima or failing to find feasible solutions in manipulator path planning. The purpose of this paper is to propose a 3D artificial moment method (3D-AMM) for obstacle avoidance for the robotic arm's end-effector.

A new method for constructing temporary attractive points in 3D has been introduced using the vector triple product approach, which generates the attractive moments that attract the end-effector to move toward it. Second, distance weight factorization and spatial projection methods are introduced to improve the solution of repulsive moments in multiobstacle scenarios. Third, a novel motion vector-solving mechanism is proposed to provide nonzero velocity for the end-effector to solve the problem of limiting the solution of the motion vector to a fixed coordinate plane due to dimensionality constraints.

A comparative analysis was conducted between the proposed algorithm and the existing methods, the improved artificial potential field method and the rapidly-random tree method under identical simulation conditions. The results indicate that the 3D-AMM method successfully plans paths with smoother trajectories and reduces the path length by 20.03% to 36.9%. Additionally, the experimental comparison outcomes affirm the feasibility and effectiveness of this method for obstacle avoidance in industrial scenarios.

This paper proposes a 3D-AMM algorithm for manipulator path planning in Cartesian space with multiple obstacles. This method effectively solves the problem of the artificial potential field method easily falling into local minimum points and the low path planning success rate of the rapidly-exploring random tree method.

The present work aims to prepare biocomposites blend based on linear low density polyethylene/ starch without using harmful chemicals to improve the adhesion between two phases. Also, the efficiency of essential oils as green plasticizers and natural antimicrobial agents were evaluated.

Barrier properties and biodegradation behavior of linear low density polyethylene/starch (LLDPE/starch) blends plasticized with different essential oils including moringa oleifera and castor oils wereassessed as a comparison with traditional plasticizer such as glycerol. Biodegradation behavior forLLDPE/starch blends was monitored by soil burial test. The composted samples were recovered then washed followed by drying, and weighting samples after 30, 60, and 90 days to assess the change in weight loss. Also, mechanical properties including retention values of tensile strength and elongation at break were measured before and after composting. Furthermore, scanning electron microscope (SEM) was used to evaluate the change in the morphology of the polymeric blends. In addition to, the antimicrobial activity of plasticized LLDPE/starch blends films was evaluated using a standard plate counting technique.

The results illustrate that the water vapor transition rate increases from 2.5 g m⁻² 24 h⁻¹ for LLDPE/5starch to 4.21 g m⁻² 24 h⁻¹ and 4.43 g m⁻² 24 h⁻¹ for castor and moringa oleifera respectively. Also, the retained tensile strength values of all blends decrease gradually with increasing composting period. Unplasticized LLDPE/5starch showed highest tensile strength retention of 91.6% compared to the other blends that were 89.61, 88.49 and 86.91 for the plasticized LLDPE/5starch with glycerol, castor and M. oleifera oils respectively. As well as, the presence of essential oils in LLDPE/ starch blends increase the inhibition growth of escherichia coli, candida albicans and staphylococcus aureus.

The objective of this work is to develop cost-effective and environmentally-friendly methods for preparing biodegradable polymers suitable for packaging applications.