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Purpose: In this study, monolith analysis methods, microservice identification, and decomposition methods proposed for the transition to microservice architectures that enable the development of appropriate solutions by adapting to the complex demands that will shape the technological infrastructure of the future are evaluated.

Need for the study: Decomposition from monolithic architectures to microservices has become a popular approach in organizations and companies with Industry 5.0. This transformation of Industry 5.0 enables businesses to gain a competitive advantage and can provide a quick solution to personalized problems such as personal service systems.

Methodology: The study, decomposition from monolith to microservice, initially includes monolith analysis, followed by microservice decomposition review. Various classification methods have been proposed for microservice identification and decomposition and are aligned with Industry 5.0 principles, focusing on artificial intelligence (AI)-based approaches, especially human-centered AI.

Findings: Four analysis methods (domain, static, dynamic, and version) are identified for monolith analysis, with static and dynamic being the most common. Version analysis is not typically used alone. In the decomposition phase, clustering-based methods are prevalent due to the uncertain dimensions of microservices. Rule-based and unsupervised methods are identified for decomposition, with AI algorithms like affinity propagation, Kmeans clustering, hierarchical clustering, Hungarian algorithm, genetic algorithm, latent Dirichlet allocation (LDA), and minimum spanning tree (MST) being employed.

Practical implications: Microservice architecture enables flexibility, scalability, and resilience compared to monolithic structures. Decomposing large-scale monolith projects into microservices is challenging, requiring selection of appropriate monolith analysis methods based on project details (e.g., domain analysis for detailed Unified Modelling Language (UML) diagrams) before proceeding with decomposition. This transformation improves deployment, maintenance, fault isolation, and scalability, while allowing for diverse service-specific databases and programming languages.

This paper aims to provide a full introduction, new classification, comparison and investigation of the challenges as well as applications of layerless 3D printing, which is one of the industry 4.0 pioneers.

Given the significance and novelty of uniform 3D printing, more than 250 publications were collected and reviewed in an unbiased and clear manner.

As a result, the majority of uniform parts printed in polymer form are known up to this point. In a novel division for better researchers’ comprehension, uniform printing systems were classified into three categories: oxygen inhibition (OI), liquid lubrication (LL) and photon penetration (PP), and each was thoroughly investigated. Furthermore, these three approaches were evaluated in terms of printing speed, precision and accuracy, manufacturing scale and cost.

The parameters of each approach were compared independently, and then a practical comparison was conducted among these three approaches. Finally, a variety of technologies, opportunities, challenges and advantages of each significant method, as well as a future outlook for layerless rapid prototyping, are presented.

This study aims to propose a comprehensive optimization and scheduling method for the combined heat and power (CHP) systems that takes into account the uncertainties of wind power and demand response.

The uncertainty of wind power and the “thermal-electric coupling” characteristics of CHP units have led to an increasing issue of wind power curtailment in CHP systems. With the objective of minimizing the overall scheduling cost of the CHP system, this paper considers the characteristics of interactive loads and wind power uncertainty, and establishes a coordinated optimization scheduling model for the generation-load-storage of the system, based on the inclusion of thermal energy storage devices.

During the optimization scheduling process, the proposed method in this paper reduces the scheduling cost by ¥99,900 (approximately 36.3%) compared to traditional methods, and significantly decreases the wind power curtailment rate by 53.7%. These results clearly demonstrate the significant advantages of the proposed method in enhancing the economic efficiency of the system and improving wind power integration.

However, the planning process did not take into account the impact of unit combinations and grid structures.

This study proposes a comprehensive optimization and scheduling method for the CHP systems that takes into account the uncertainties of wind power and demand response. The objective function is to minimize the wind curtailment rate’s total scheduling cost, considering the impact of wind power uncertainties and demand response. A coordinated optimization and scheduling model for the generation-load-storage of CHP system is established.

CHP units achieve the coupling of electric and thermal energy, significantly improving energy efficiency. In this study, the planning of the CHP system considers the coupling relationships among multiple energy sources, various devices and the pricing optimization spaces of electric and thermal forms of generation, storage and load-side. This approach has achieved favorable results in terms of economic operation scheduling and wind power accommodation improvement.

The case method is used to handle the uncertainty of wind power output on the generation side. Demand response is integrated on the load side to adjust user load curves. On the storage side, the thermal-electric coupling constraints of the CHP units are decoupled using thermal energy storage devices, while considering the economic benefits of all three parties involved: the power source, the load and the energy storage.

This study aims to improve the positioning accuracy of a large-scale parallel pose alignment mechanism by calibration and error compensation.

The dynamic modelling of the parallel pose alignment mechanism is achieved using the Newton Euler method. Combined with a deformation compatibility analysis, the support force at the spherical hinge and the friction of the follow-up prismatic pair are calculated. The deformation of the moving platform in multi-pose space is analysed by the integral method, and a corresponding deformation model is established. Based on the calculated support force, friction and deformation, the deformation error is analysed. Combined with the calculated deformation error, kinematics calibration and positioning error compensation are carried out.

The simulation results show that the deviation of structural error identification is decreased from 3.03 × 10^–1 mm to 6.8 × 10^–2 mm. The experimental results show that the maximum pose errors after compensation are reduced from 2.77 mm to 6.5 × 10^–1° to 3.9 × 10^–1 mm and 3.7 × 10^–1°, which verifies the effectiveness of the proposed method.

This method can be used in the field of aircraft assembly for the calibration and error compensation of a large-scale parallel pose alignment mechanism based on positioners.

The purpose of this paper is to verify the performance and function of the scale-up prototypes by predicting the material and energy consumption on the basis of dimension-reduced prototypes. Additive manufacturing (AM) costs determine carbon emissions in total life cycle, among which material and energy consumption are major components. Predicting material and energy consumption is fundamental to reducing costs.

This paper presents a material and energy co-optimization method for AM via multiple layers prediction (MLP). Material and energy consumption are predicted to reduce the AM costs. In particular, scalable, complex curved surface component is used to improve forecasting efficiency. Subsequently, the back pressure distribution is obtained by scale-up specimens, which can lay the foundation for the ergonomic conceptual design.

Taking evolutionary ergonomic product as an example, the relative gravity direction of backrest is calculated. The material and energy consumption are predicted with low deviation. Physical experiments were carried out to validate information. Digital and physical tests have revealed that material and energy co-optimization improves manufacturing efficiency.

The innovatively proposed MLP method predicts material and energy consumption of scale-up prototypes to reduce the costs. It is propitious to improve the carbon emission efficiency in life cycle of AM. The originality may be widely adopted alongside increasing environmental awareness.

This study aims to comprehensively analyze the current developments and applications of paper-based electrochemical platforms for blood glucose detection, focusing on their potential to revolutionize point-of-care testing through cost-effective and accessible diagnostic solutions.

The review systematically examines fundamental principles of paper-based platforms, including substrate properties, fluid transport mechanisms and electrochemical detection methods. It critically evaluates recent technological advances in materials science, fabrication techniques and signal amplification strategies while analyzing various case studies demonstrating successful implementations.

Recent innovations in paper-based glucose sensors have achieved remarkable performance metrics, with detection limits reaching sub-millimolar ranges and response times within seconds. The integration of nanomaterials, particularly graphene-based composites and carbon nanotubes, has significantly enhanced sensor sensitivity and stability. Advanced enzyme immobilization techniques using layer-by-layer assembly have demonstrated sustained activity for up to 10 weeks, while novel signal amplification strategies incorporating bimetallic nanoparticles have pushed detection limits into the sub-picogram range.

This review uniquely synthesizes the latest developments in paper-based electrochemical glucose sensing, providing critical insights into the synergistic integration of advanced materials, fabrication methods and detection strategies. It offers valuable perspectives on overcoming current technical challenges and highlights emerging opportunities in smart device integration and artificial intelligence applications, serving as a comprehensive resource for researchers and practitioners in the field of point-of-care diagnostics.

This study aims to develop a large gap nanomagnetic liquid sealing technology to address the problems of significant deformation, vibration, and radial oscillation caused by harsh working conditions such as low assembly and processing accuracy, heavy load, and high speed in mechanical equipment.

Based on the principle of magnetic liquid sealing structure, a large gap magnetic fluid sealing scheme based on axial and radial distribution was proposed, equipped with self-made silicone oil–based magnetic fluid. Taking the common roller in mining equipment as an example, sealing performance tests were conducted using a mining roller running resistance test bench in the simulated underground environment.

In routine environmental tests, the running resistance of the new magnetic liquid sealing roller is reduced by an average of 7.6% and 34.3% compared to the labyrinth sealing roller, respectively; In long-term environmental tests, the running resistance of the new magnetic liquid sealing roller decreased by an average of 16.2% compared to the labyrinth sealing roller, it is recommended to equip it with self-made silicone oil–based magnetic fluid; In vibration environmental tests, the running resistance of the new magnetic liquid sealing roller is more stable compared to the magnetic liquid sealing roller with only axial distribution.

The research results have important theoretical and practical value in compensating for the shortcomings of magnetic fluid sealing structure and expanding the application fields of magnetic fluid.

This study aims to examine the effect of implementing and marketing Islamic bank corporate social responsibility (CSR) on the performance of Islamic banks moderated by the community’s religious commitment.

The research was conducted at branch offices of Islamic banks in Indonesia with a sample of 251 branches. The questionnaire was distributed for six months. All variables are measured using previous studies’ instruments and Smart PLS 3.0 to analyze the data.

This study found that CSR implementation had a direct effect, while CSR evaluation and CSR marketing had no significant effect on performance. The results also show that community religious commitment negatively moderates the effect of CSR evaluation on performance and positively moderates the effect of CSR marketing on performance.

This research contributes to the literature on Islamic marketing and financial services management by reporting that CSR marketing in the context of a religious society has a significant effect on improving branch bank performance. Hence, this study expands the understanding of stakeholder and environmental contingency theories by assessing society’s role and perceptions in determining Islamic banks’ performance.

Practically, this research helps bank managers to encourage people to become Islamic bank customers using CSR information.

This study reveals the role of community religious commitment as a moderator for the effectiveness of CSR marketing in improving performance. Previous research has never examined the role of this variable.

Based on the pursuit of improving the temperature endurance capabilities of conventional superalloys for hot-end components, this paper aims to investigate the failure mechanisms of yttria-stabilized zirconia (YSZ) coatings fabricated by the atmospheric plasma spraying method at 1220 °C and 1260 °C.

Thermal spraying techniques are applied to produce thermal barrier coatings (TBCs) that offer superior thermal insulation, thermal shock resistance and thermal stability. The oxidation kinetics, the propagation patterns of cracks and the phase stability prior to failure of the coating were analyzed in detail.

The failure of coatings during static isothermal oxidation process is caused by slow crack initiation and propagation in the densification stage. External stress induces rapid initiation and propagation of cracks, leading to coating phase transformation. Cracks create pathways for oxygen diffusion and accelerate the growth of oxide layers.

This work aims to provide reliability data on the failure of TBCs, elucidate the high-temperature service characteristics of TBCs and provide theoretical basis for its performance improvement under extreme conditions.

Compared to the occurrence of conflict in general teams in organizations, conflict occurrence in entrepreneurial teams is more prevalent and intense. However, previous studies have found inconsistent relationships between entrepreneurial team conflict and performance, and the mechanisms underlying this relationship remain in the “black box.” Drawing on the motivated information processing in groups theory, this study aims to investigate how and when entrepreneurial team conflict influences entrepreneurial performance.

The authors collected survey data from 190 entrepreneurs across 58 entrepreneurial teams in China. The hypothesized relationships were examined through path analysis using the Mplus7.0 program.

Entrepreneurial team relationship conflict is negatively related to entrepreneurial performance mediated through team behavioral integration. Conversely, there exists a curvilinear (U-shaped) relationship between entrepreneurial team task conflict and entrepreneurial performance, also mediated through team behavioral integration. Furthermore, the curvilinear relationship between entrepreneurial team task conflict and team behavioral integration is strengthened by team contractual governance, whereas the relationship between entrepreneurial team relationship conflict and team behavioral integration is not moderated by team contractual governance.

This study contributes to a deeper understanding of the relationship between entrepreneurial team conflict and performance by identifying the mediating mechanism and boundary condition. The finding of a U-shaped relationship between entrepreneurial team task conflict and entrepreneurial performance underscores the uniqueness of the entrepreneurial team context, offering new empirical insights for future conflict research.