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Much prior literature has discussed bioethics from a Confucian perspective in biomedical research, but little has applied Confucianism in examining ethics in social and behavioral research involving human subjects. This paper aims to reexamine the Belmont principles in social and behavioral research from a Confucian perspective to discuss their applicability and limitations and propose implications for revising or extending them potentially in the future.

A comparison is conducted on bioethics and social and behavioral research ethics. Afterward, a critical analysis is conducted on the Belmont principles of respect for persons, beneficence and justice from a Confucian perspective regarding their application in social and behavioral research.

From a Confucian perspective, the Belmont principles are necessary but may not be sufficient to cover the width and depth of ethical issues in social and behavioral research, such as those in crowd work-based research. This paper proposes that ethical guidelines for social and behavioral research may need to be updated from the Belmont principles adopting or incorporating certain Confucian ethics.

Social and behavioral research ethics have been relatively marginal compared to the bioethics deliberation in the existing literature. Unlike Beauchamp and Childress’s continued efforts in refining ethical guidelines for biomedical research specifically, little similar work has been done in this area since the Belmont report’s publication in 1979. This paper sheds light on building more refined and specific ethical guidelines to navigate the ever-growing numbers and diversities of nonmedical research topics, methodologies and contexts.

We evaluate the effect of political connections on the stock valuation of emerging market firms following the announcement of cross-border mergers and acquisitions (M&As). We further analyze the moderating roles of home and host market environments.

Our analysis of 361 Chinese cross-border M&A transactions during 2014–2018 employs an event-study methodology to assess the cumulative abnormal return (CAR) for acquirers. To test our hypotheses, we utilize a multiple regression model.

Politically connected firms experience a decrease in firm value following the announcement of cross-border M&As. However, this negative effect is weakened when the firm’s home region is more market-oriented, reflected by economic activity driven primarily by market mechanisms rather than government intervention. In contrast, the negative effect is strengthened when the host country exhibits higher governance quality, characterized by sound legal structures, labor regulations and developed capital markets.

Extending beyond previous studies on cross-border M&A performance, we analyze firm value based on signaling theory. Our findings reveal that market investors view cross-border M&As undertaken by politically connected firms from emerging economies with caution, resulting in a decline in acquirer value. Moreover, investors react more positively to cross-border M&As by politically connected acquirers in truly market-based regions. Conversely, investors expect that politically connected acquirers would encounter additional hurdles when executing cross-border M&As if the host country has high-quality governance.

Additive manufacturing became the most popular method as it enables the production of light-weight and high-density parts in effective way. Selective laser melting (SLM) is preferred by means of producing a component with good surface quality and near-net shape even if it has complex form. Titanium alloys have been extensively used in engineering covering a variety of sectors such as aeronautical, chemical, automotive and defense industry with its unique material properties. Therefore, the purpose of this review is to study the tribological behavior and surface integrity that reflects the thermal and mechanical performances of the fabricated parts.

This paper is focused on the tribological and surface integrity aspects of SLM-produced titanium alloy components. It is aimed to outline the effect of SLM process parameters on tribology and surface integrity first. Then, thermal, thermal heat, thermomechanical and postprocessing surface treatments such as peening, surface modification and coatings are highlighted in the light of literature review.

This work studied the effects of particle characteristics (e.g. size, shape, distributions, flowability and morphology) on tribological performance according to an extensive literature survey.

This study addresses this blind spot in existing industrial-academic knowledge and goals to determine the impact of SLM process parameters, posttreatments (especially peening operations) and particle characteristics on the SLMed Ti-based alloys, which are increasingly used in biomedical applications as well as other many applications ranging from automobile, aero, aviation, maritime, etc. This review paper is created with the intention of providing deep investigation on the important material characteristics of titanium alloy-based components, which can be useful for the several engineering sectors.

This study aims to examine publishing patterns regarding the incorporation of organizational learning in philanthropic organizations.

This study conducts a quantitative bibliometric analysis using Scopus database data from 1997 to 2024. The search terms “organizational learning” combined with “philanthropy,” “non-profit,” “nonprofit,” “charity,” “humanitarian” or “endowment” yielded 162 articles. The data were processed in RStudio using the Bibliometrix R package, specifically the Biblioshiny component.

The results of the bibliometric analysis indicate a significant increase in research interest in the theme of organizational learning within philanthropic organizations from 1997 to 2024. This analysis also elucidates the relationships among the most prolific authors based on the country of their affiliated universities, the collaborations that have taken place, the most cited documents, keywords and the scientific knowledge used.

A comprehensive literature review will be valuable for future researchers aiming to build a robust conceptual framework. This study’s science mapping is limited to the Scopus database and languages.

To the best of the authors’ knowledge, this study is the first to describe research patterns focusing on organizational learning in philanthropic organizations.

Electrical characteristics of transformer oil (TO) have been studied during normal and thermal aging conditions. In this paper, breakdown voltage (BDV), partial discharge (PD), heat transfer results and the physical mechanisms considering the impact of varying the diameter of Al₂O₃ nanoparticles (NPs) have been investigated. Different quantities of the two sizes of Al₂O₃ were added to the oil using a two-step method to determine the positive effect of NPs on the electrical and thermal properties of TO. Finally, the physical mechanisms related to the obtained experimental results have been performed.

The implementation of nanoparticles in this paper was provided by US Research Nanomaterials, Inc., USA. The provided Al₂O₃ NPs have an average particle size of 20–80 nm and a specific surface area of 138 and 58 m²/g, respectively, which have a purity of over 99%. Thermal aging has been done. The IEC 60156 standard has been implemented to calculate the BDV, and a 500-mL volume test cell (Apar TO 1020) has been used. PD test is performed according to Standard IEC 60343, and a JDEVS-PDMA 300 device was used for this test.

BDV tests indicate that 20 nm Al₂O₃ is more effective at improving BDV than 80 nm Al₂O₃, with an improvement of 113% compared to 99% for the latter. The analysis of Weibull probability at BDV indicates that 20 nm Al₂O₃ performs better, with improvements of 141%, 125% and 112% at probabilities of 1, 10 and 50%, respectively. The results of the PD tests using the PDPR pattern also show that 20 nm Al₂O₃ is superior. For the heat transfer test, 0.05 g/L of both diameters were used to ensure fair conditions, and again, the advantage was with 20 nm Al₂O₃ (23% vs 18%).

The effect of Al₂O₃ NP diameter (20 and 80 nm) on various properties of virgin and aged TO has been investigated experimentally in this paper to examine the effect of proposed NP on electrical improvement of TO.

Mental ill health is prevalent among construction workers due to high job demands and unsafe working conditions. Psychological safety climate (PSC) has emerged as a potential solution for improving workplace mental health. However, there is still limited understanding of how different dimensions of PSC influence mental ill health. Thus, this study aims to explore the impact of PSC on the mental ill health of construction employees in the Vietnamese context.

Data were collected from 238 construction professionals using a non-probability sampling method. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the relationships between various PSC dimensions and mental ill health.

The findings revealed that management commitment and management priority have the most significant influence on reducing mental ill health in the Vietnamese construction sector. While organizational communication and participation contribute, their impact is less pronounced but crucial in promoting employee well-being.

Firms should actively promote mental well-being by visibly prioritizing psychological health alongside productivity and providing resources for stress prevention. For policymakers, these findings suggest the need for regulations that encourage or mandate mental health programs. Additionally, the study highlights the need for employees to engage with mental health initiatives to reduce the stigma surrounding mental health discussions in the workplace.

The field of medical technology is constantly evolving, leading to improvements in implantation techniques that offer innovative solutions for treating bone tissue defects. The purpose of this study is to investigate the integration of nano-silica into ceramic scaffolds to enhance the mechanical strength of Hydroxyapatite structures.

Using the design of experiment methodology, 13 distinct ceramic pastes, each optimized for specific mechanical characteristics, are formulated. Rheological testing is performed to ensure suitability for 3D printing, and the pastes are evaluated using techniques such as scanning electron microscopy and energy dispersive X-ray spectroscopy. The definitive screening design optimizer is used to determine an ideal material combination based on factors like extrudability, printability, strength and biocompatibility.

Scaffolds with the optimized HA/SiO₂ composition are fabricated and tested for compression strength, achieving 7.8 MPa.

The research endeavors detailed within this study represent a notable advancement in the augmentation of ceramic scaffold properties tailored for bone tissue engineering applications, particularly focusing on their suitability for integration within load-bearing structures. A particular emphasis is placed on the enhancement of printability, thereby facilitating streamlined fabrication processes.

This study aims to offer a hybrid stand-alone system for electric vehicle (EV) charging stations (CS), an emerging power scheme due to the availability of renewable and environment-friendly energy sources. This paper presents the analysis of a photovoltaic (PV) with an adaptive neuro-fuzzy inference system (ANFIS) algorithm, solid oxide fuel cell (SOFC) and a battery storage scheme incorporated for EV CS in a stand-alone mode. In previous studies, either the hydrogen fuel of SOFC or the irradiance is controlled using artificial neural network. These parameters are not controlled simultaneously using an ANFIS-based approach. The ANFIS-based stand-alone hybrid system controlling both the fuel flow of SOFC and the irradiance of PV is discussed in this paper.

The ANFIS algorithm provides an efficient estimation of maximum power (MP) to the nonlinear voltage–current characteristics of a PV, integrated with a direct current–direct current (DC–DC) converter to boost output voltage up to 400 V. The issue of fuel starvation in SOFC due to load transients is also mitigated using an ANFIS-based fuel flow regulator, which robustly provides fuel, i.e. hydrogen per necessity. Furthermore, to ensure uninterrupted power to the CS, PV is integrated with a SOFC array, and a battery storage bank is used as a backup in the current scenario. A power management system efficiently shares power among the aforesaid sources.

A comprehensive simulation test bed for a stand-alone power system (PV cells and SOFC) is developed in MATLAB/Simulink. The adaptability and robustness of the proposed control paradigm are investigated through simulation results in a stand-alone hybrid power system test bed.

The simulation results confirm the effectiveness of the ANFIS algorithm in a stand-alone hybrid power system scheme.

Developing technological capabilities to enhance innovation performance is essential for firms to respond to external changes and competition. Based on the effect of organizational structure on organizational capability development, this study assesses whether a specific R&D organizational structure design can be used to develop different technological capabilities.

Combining organizational theory and the resource-based view as an integrated view, we propose several contrasting hypotheses to show the effects of three general R&D organizational structure designs (centralized, decentralized, and hybrid) on developing exploitative and explorative capabilities. We propose R&D slack as a moderator. 82 Taiwanese listed manufacturing firms were selected. Data on the firms' annual reports and their patent applications to the Taiwan Patent Office from 2005 to 2017 were collected.

Firms’ adoption of centralized and decentralized R&D structures has a significant positive effect on developing exploitative capability and an opposite effect on developing explorative capability. A high or low R&D slack can moderate the impact of R&D organizational structure on non-routine capability development.

This study concludes that R&D organizational structure affects the development of different technological capabilities and that the effect of R&D organizational structure on the development of technological capabilities can be changed under the moderation of R&D slack, which means that the possibility of developing different technological capabilities under the same organizational structure will increase.

The top manager should consider the relationship between R&D structure design and technological capability development to manage the R&D routines to influence the generation of technological capabilities. Also, they must utilize the provision of R&D slack to modulate technological capability development.

This study reexamines the relationship between organizational structure and capability development. It shows that organizational structure can shape unique technological capabilities and that firms may be able to change structural elements through slack resources, enabling ambidexterity or dynamic capability development without organizational change.