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The water-lubricated hydrodynamic herringbone groove journal bearing (HGJB) is capable of running at high speed. However, when running at a low speed, it suffers from a low load-carrying capacity due to the weak hydrodynamic effect. To overcome this problem, this study proposes a hybrid water-lubricated HGJB and aims to investigate its dynamic characteristics.

A hybrid lubrication model applicable to the hybrid water-lubricated HGJB is established based on the boundary fitted coordinate system, which considers the turbulent, thermal and tilting effects, and the finite difference method is used to calculate the dynamic characteristics of the hybrid water-lubricated HGJB.

The result shows that the hybrid HGJB has larger dynamic coefficients and better system stability compared with the hydrodynamic HGJB when running at low speed. Furthermore, the stiffness of hybrid HGJB are mainly governed by the hydrodynamic effect rather than the hydrostatic effect when running at high speed.

The proposed hybrid water-lubricated HGJB shows excellent dynamic characteristics at either low speed or high speed; and the hybrid water-lubricated HGJB has a large load-carrying capacity when running at low speed and has a good dynamic stability when running at high speed.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2024-0233/

The study aims to examine the association between virtual communication effectiveness (VCE), leadership effectiveness (LE) and the role of emotional intelligence (EI) in the post-pandemic era.

A survey was conducted among 305 employees in the Indian IT sector using an online questionnaire. Data were analyzed using reliability, validity and moderated regression analysis.

The findings reveal that VCE is a significant predictor of LE. EI plays a significant moderating role between VCE and LE.

This study establishes the role of EI in pre-empting LE. Furthermore, it results in the advancement of improved tools for the selection, training and development of leadership talent. Research on virtual communication (VC) and EI enhances our understanding of effective leadership. To the best of the authors’ knowledge, the present research is one of the first to link and standardize various practices of VC, and EI to increase LE in the post-pandemic era.

The advent of information and communication technologies in workplace settings has broadened the range of bullying behaviours that can manifest in the digital realm. However, there is a lack of knowledge concerning the impact of situational factors on employees' perceived cyberbullying within the workplace framework. Broadly, this study aims to investigate the effects of workplace cyberbullying on employees' wellbeing at work and their intention to stay with the organization, across two groups of employees: those who work in a fully remote mode and those employed in hybrid work arrangements.

The current descriptive and time-lagged study was conducted among a sample of 373 employees who work in the information technology sector in India, in either fully-remote or hybrid mode. The study utilized self-report questionnaires, which employed previously validated questionnaires. The hypotheses were tested using structural equation modelling and multi-group analysis using IBM SPSS, AMOS, and STATs Tools Package.

The results demonstrate that cyberbullying negatively affects wellbeing at work and employees' intentions to stay with the organization. Remote-work employees experienced higher effects of workplace cyberbullying on their wellbeing at work. Also, the indirect effect of wellbeing at work was more pronounced and influential among remote work employees than hybrid work employees, suggesting the need for tailored support and resources for remote workers. Multi-group analysis across employees working in remote and hybrid work arrangements revealed that the relationship between workplace cyber-bullying and wellbeing at work is statistically stronger for remote-work employees.

This study represents a novel approach to developing and evaluating a theoretical model that explores the relationship between workplace cyberbullying, wellbeing at work, and the intention to stay with the organization within the context of remote/hybrid work arrangements. The findings offer theoretical and practical implications regarding the impact of workplace cyberbullying on job outcomes and aim to bridge a gap in current research. Particularly, the study highlights the positive outcomes of hybrid work over remote work and offers recommendations to mitigate the negative experiences among employees who work remotely.

Hybrid working is becoming commonplace, but scientific research on employee preferences for hybrid-working arrangements is still scarce. The current study investigated knowledge-worker preferences for hybrid-working scenarios, considering the relative importance of hybrid-working aspects and differences among knowledge workers associated with differences in preferences.

The study was conducted in a large governmental organization in the Netherlands. Attributes and levels for the choice-based experiment were developed in an iterative process involving several groups of stakeholders. A survey containing sociodemographic and work-related measures and a choice-based experiment was completed by 263 policy officers.

Conjoint analyses showed that the most important attribute was the “Distribution of days” (i.e. the percentage of time at home versus the office). Four employee segments were identified: home workers, hybrid fixed, hybrid flex and office workers, each with a different pattern of preferences. The segments differed on age/tenure, task interdependence, household composition (young children or not) and motives for coming to the office.

The study reveals that differences in preferences are associated with different combinations of demographic and work characteristics rather than one specific characteristic. Findings align with theories on work–life balance, (family) life-cycle stages and needs-supply fit.

Study findings support managerial decision-making on which hybrid-working scenario(s) to implement, considering the preferences of different groups of employees.

The study contributes to the literature on hybrid working and represents a novel application of conjoint analysis.

Nowadays fossil fuel prices have increased; therefore, consumption of energy reduction has become a significant issue. Hence, this study aims to explore energy-efficient mechanical devices and their energy management.

This study focused on numerical analysis of various factors, including pressure drop, sensitivity, heat transfer and friction factor. This study compared the performance of two different arrangements of the heat exchanger: flat tube and staggered circular tube. This study also investigated the impact of varying coolant volume fractions.

This numerical analysis compares the geometric properties of flat and circular tube cross-sections while considering the flow of nanofluid inside and air outside. The current experimental investigation specifically examines the temperature-dependent characteristics (specific heat capacity, viscosity, density and thermal conductivity) of the stable ternary hybrid nanofluid mixture composed of Al₂O₃, CuO and TiO₂.

While several researchers have conducted numerical investigations on laminar flow in circular tubes, only a few studies are available on flat tube heat exchangers that use nanofluids just for internal flow. Furthermore, there is no simultaneous study on internal and exterior flow. Therefore, more investigation is necessary to examine the combined three-dimensional examination of shapes and their thermal-hydraulic influence using hybrid nanofluids.

The purpose of this study is to examine how fluid flow and heat transfer are affected by the influence of hybrid nanofluids flowing across a stagnation zone of a stretching curved surface. Stagnation point flow has garnered considerable attention over the past few decades. This is because many technical applications, such as the cooling of nuclear reactors and rotating equipment divisions, rely on stagnation-point flow.

A thorough analysis is conducted of the impacts of several regulating parameters on fluid flow and thermal performance, including the radiation parameter, heat source parameter, mixed convection parameter, porosity parameter curvature and nanoparticle concentration. The laws governing the field of flow equations are transformed by similarity substitutions into two nonlinear ordinary differential equations, which are then solved numerically using Maple. The MR-Solve technique in the built-in Maple package was used. The MR-Solve technique was used to numerically solve highly coupled ordinary differential equation problems. This approach produced highly precise and consistent results. It also provides the best performance while using a minimum amount of CPU and the shortest phrases.

The main conclusions of this study show that axial velocity drops, while radial velocity increases as the mixed convection parameter increases. The rate of heat transmission and skin friction is higher for hybrid nanoparticles with volume fraction percentile (0.01–0.03) than for those with volume fraction percentile (0.1–0.3).

Further research on this topic could examine a broader range of parameter values, suction/injection, entropy, mass equation, micropolar fluid, ternary hybrid nanofluid and Newtonian heating flow on a curved stretching surface.

By investigating a novel physical design that combines the various effect with stagnation flow, this study adds value and offers insights and prospective improvements in the discipline of heat fluid mechanics. Mathematical modeling or experimental studies in a variety of multiphysical contexts can be used to achieve this. Heat exchangers, crystalline procedures, microelectronic machines, systems for conserving energy, integrating operations, food manufacturing, climate control, purification and other engineering domains can all benefit from the geometric configurations investigated in this study. The results of this study greatly aid in optimizing thermal performance in a variety of application domains. This study is novel because it compares several volume fraction percentiles.

A stretching curved surface’s stagnation zone is traversed by hybrid nanofluids, offering insights into how curvature affects heat transfer and fluid flow efficiency. The results aid in the design and improvement of the energy transfer efficiencies for a range of commercial and biological purposes. The results offer possibilities for increased efficiency in a range of applications by developing hybrid nanofluid flow control methods and helping to create ideal thermal systems.

The complexity of contemporary societal challenges in emerging countries reanimates the necessity of collective action to resolve them. What is required is system change, namely, transformations in policy, practice, power relationships, market dynamics and social customs that underlie social and environmental issues. Technological innovations, paired with intentional social changes, might play a transformative role in this effort. This paper aims to investigate the relationship between the adoption of technologies in social enterprises (SEs) and their contribution to achieving system change. It also addresses the effects of their hybrid nature on this relationship.

The analysis relied on data collected through a survey of the global population of Ashoka fellows, which is largely based in emerging economies. Three models were developed concerning different pathways to achieve system change identified in the theoretical framework. These were tested using Probit regressions.

The investigation confirms that technology can support SEs in navigating complex pathways to achieve system change rather than merely enabling linear scaling operational strategies. The pursuit of economic value creation, in conjunction with a social mission, decreases the ability of SEs to achieve system change. This is because the scaling paths which hardly create revenues are neglected.

The study conceptualises a multifaceted model of system change. It tests the framework empirically to show that SEs can adopt technologies to unleash complex system change processes to generate societal impact, on top of merely demonstrating linear approaches to scaling or replication. The paper questions the capacity of SEs to facilitate system change without appropriate financial support and the inherent tensions between hybridity and the depth of system change dynamics.

This work focuses on optimizing and predicting the tenacity of twin-sheath single-core hybrid yarn. This study aims to predict and maximize yarn performance by investigating key factors influencing yarn tenacity.

Three critical parameters − ultra-high molecular weight polyethylene (HPPE) denier, stainless steel micron size and twist per meter − were considered for making multicomponent yarn and optimized using the Box-Behnken design (BBD), a response surface methodology variant. The hybrid yarn studied consists of a stainless-steel core, a polyester inner layer and an HPPE outer layer with opposite twists. The ASTM D2256 method was applied on Instron 3365 machine to measure yarn tenacity.

The optimized yarn setup involved 200 twists per meter, 400 Den HPPE and 45-micron stainless steel, resulting in a 127.5 cN/Tex tenacity. The quadratic model best fits the data, with R² values close to 1.00 (R² = 0.9935, adjusted R² = 0.9817, projected R² = 0.8956), a lower PRESS value of 445, a higher adequacy precision of 19.6816 and a higher TPC percentage of 35.23%. The analysis of variance results confirmed the model significance (F-value = 84.75, P-value < 0.0001), and the average relative error was found to be 3.43%, indicating predictive accuracy.

This study demonstrates the effectiveness of the BBD in optimizing hybrid yarn tenacity, providing valuable insights in terms of core yarn and outer sheath yarn linear density with twist per meter. The work presents a novel approach to hybrid yarn optimization and prediction, expanding the potential for further research and development in textile engineering.

Magnetohydrodynamics (MHD) in nanofluids is crucial in boundary layer flow as it enables the manipulation of fluid motion through magnetic fields, which leads to improved stability and efficiency. This study aims to introduce a model and solutions for the boundary layer flow of a ternary hybrid nanofluid past a permeable shrinking sheet, integrating both magnetohydrodynamic and slip effects.

The model is firstly expressed as partial differential equations and subsequently converted into ordinary differential equations (ODEs) through a similarity transformation technique. A finite difference scheme with the Lobatto IIIa formula in MATLAB is applied to numerically solve the ODEs, where the respective outcomes provide insights into the skin friction coefficient, Nusselt number, velocity profiles and temperature profiles.

The results highlight the significance of enhancing magnetohydrodynamic effects and first-order velocity slip to reduce skin friction, improve heat transfer, delay boundary layer separation, increase flow velocity and lower fluid temperature. In addition, the stable numerical solution is scrutinized using response surface methodology (RSM) to validate and optimize flow control. The RSM optimization confirms that higher suction, magnetohydrodynamic effects and first-order slip levels are essential for minimizing skin friction and maximizing heat transfer simultaneously.

The presented model together with the numerical and statistical results can be used as a guidance to control the flow and heat transfer that occur within a related practical application, especially in engineering and industrial activities such as cooling technologies, energy harvesting or fluid transport in nanotechnology, where precise control of heat transfer and fluid dynamics is essential for optimizing performance and reducing energy consumption.

This paper aims to present a new trajectory scheduling method to generate a smooth and continuous trajectory for a hybrid machining robot.

The trajectory scheduling method includes two steps. First, a G3 continuity local smoothing approach is proposed to smooth the toolpath. Then, considering the tool/joint motion and geometric error constraints, a jerk-continuous feedrate scheduling method is proposed to generate the trajectory.

The simulations and experiments are conducted on the hybrid robot TriMule-800. The simulation results demonstrate that this method is effectively applicable to machining trajectory scheduling for various parts and is computationally friendly. Moreover, it improves the robot machining speed and ensures smooth operation under constraints. The results of the S-shaped part machining experiment show that the resulting surface profile error is below 0.12 mm specified in the ISO standard, confirming that the proposed method can ensure the machining accuracy of the hybrid robot.

This paper implements an analytical local toolpath smoothing approach to address the non-high-order continuity problem of the toolpath expressed in G code. Meanwhile, the feedrate scheduling method addresses the segmented paths after local smoothing, achieving smooth and continuous trajectory generation to balance machining accuracy and machining efficiency.