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Online forums are increasingly deployed as important e‐learning tools for facilitating student learning in classrooms. However, building an online forum does not guarantee participation by students. The purpose of this paper is to advance our knowledge of facilitating student participation in this context by studying the role of communication environment.

The model was tested using data collected from a survey administered in a university in Hong Kong.

Results revealed that psychological safety communication climate influenced the intention of students to continue their participation both directly and indirectly through perceived responsiveness and self‐efficacy.

This study builds on social cognitive theory and extends the existing understanding of participation in e‐learning by highlighting the roles of psychological safety communication climate and perceived responsiveness, two communication environment factors critical to student learning but not yet addressed seriously in the e‐learning context.

This study aims to identify the key factors that influence household pro-environmental behaviors (HPEBs) and explore the differences caused by the same influencing factors between household waste management behavior (HWM) and household energy-saving behavior (HES).

A meta-analysis was conducted on 90 articles about HPEBs published between 2009 and 2023 to find the key factors. HPEBs were further categorized into HWM and HES to investigate the difference influenced by the above factors on two behaviors. The correlation coefficient was used as the unified effect size, and the random-effect model was adopted to conduct both main effect and moderating effect tests.

The results showed that attitude, subjective norms, and perceived behavioral control all positively influenced intention and HPEBs, but their effects were stronger on intention than on HPEBs. Intention was found to be the strongest predictor of HPEBs. Subjective norms were found to have a more positive effect on HES compared to HWM, while habits had a more positive effect on HWM. Furthermore, household size was negatively correlated with HWM but positively correlated with HES.

The same variables have different influences on HWM and HES. These results can help develop targeted incentives to increase the adoption of HPEBs, ultimately reducing household energy consumption and greenhouse gas emissions and contributing to the mitigation of global warming.

The purpose of this paper is to identify the energy absorption characteristics of arch micro-strut (ARCH) lattice structure (different from traditional straight micro-strut lattice structure) under high-speed impact, and promote the development of special-shaped micro-strut lattice structure.

The study serves to study the anti-impact and energy absorption characteristics of ARCH lattice structure under different strain rates and different unit layers of lattice structure. In this paper, quasi-static compression and Hopkinson compression bar experiments are used for comparative analysis.

The results show that the ARCH lattice structure has obvious strain rate effect. When the strain rate is low, the number of layers of lattice structure has a great influence on the mechanical properties. With the increase of strain rate, the influence of the number of layers on the mechanical properties gradually weakens. So the ARCH lattice structure with fewer layers (less than five layers) should be selected as the impact energy absorbing materials at lower impact rate, while at higher impact rate, the number of layers can be selected according to the actual requirements of components or devices space size.

This study shows that Arch lattice structure has excellent energy absorption performance, and provides a theoretical reference for the application of ARCH lattice structure in energy-absorbing materials. ARCH lattice structure is expected to be applied to a variety of energy absorption and anti-impact components or devices, such as aircraft black box fall buffer components, impact resistant layer of bulletproof and landing buffer device.

The purpose of this paper is to design and fabricate a three-dimensional (3D) bionic airflow sensing array made of two multi-electrode piezoelectric metal-core fibers (MPMFs), inspired by the structure of a cricket’s highly sensitive airflow receptor (consisting of two cerci).

A metal core was positioned at the center of an MPMF and surrounded by a hollow piezoceramic cylinder. Four thin metal films were spray-coated symmetrically on the surface of the fiber that could be used as two pairs of sensor electrodes.

In 3D space, four output signals of the two MPMFs arrays can form three “8”-shaped spheres. Similarly, the sensing signals for the same airflow are located on a spherical surface.

Two MPMF arrays are sufficient to detect the speed and direction of airflow in all three dimensions.

At airport security checkpoints, baggage screening is aimed to prevent transportation of prohibited and potentially dangerous items. Observing the projection images generated by X-rays scanner is a critical method. However, when multiple objects are stacked on top of each other, distinguishing objects only by a two-dimensional picture is difficult, which prompts the demand for more precise imaging technology to be investigated for use. Reconstructing from 2D X-ray images to 3D-computed tomography (CT) volumes is a reliable solution.

To more accurately distinguish the specific contour shape of items when stacked, multi-information fusion network (MFCT-GAN) based on generative adversarial network (GAN) and U-like network (U-NET) is proposed to reconstruct from two biplanar orthogonal X-ray projections into 3D CT volumes. The authors use three modules to enhance the reconstruction qualitative and quantitative effects, compared with the original network. The skip connection modification (SCM) and multi-channels residual dense block (MRDB) enable the network to extract more feature information and learn deeper with high efficiency; the introduction of subjective loss enables the network to focus on the structural similarity (SSIM) of images during training.

On account of the fusion of multiple information, MFCT-GAN can significantly improve the value of quantitative indexes and distinguish contour explicitly between different targets. In particular, SCM enables features more reasonable and accurate when expanded into three dimensions. The appliance of MRDB can alleviate problem of slow optimization during the late training period, as well as reduce the computational cost. The introduction of subjective loss guides network to retain more high-frequency information, which makes the rendered CT volumes clearer in details.

The authors' proposed MFCT-GAN is able to restore the 3D shapes of different objects greatly based on biplanar projections. This is helpful in security check places, where X-ray images of stacked objects need to be distinguished from the presence of prohibited objects. The authors adopt three new modules, SCM, MRDB and subjective loss, as well as analyze the role the modules play in 3D reconstruction. Results show a significant improvement on the reconstruction both in objective and subjective effects.

This paper aims to present a human-in-the-loop natural teaching paradigm based on scene-motion cross-modal perception, which facilitates the manipulation intelligence and robot teleoperation.

The proposed natural teaching paradigm is used to telemanipulate a life-size humanoid robot in response to a complicated working scenario. First, a vision sensor is used to project mission scenes onto virtual reality glasses for human-in-the-loop reactions. Second, motion capture system is established to retarget eye-body synergic movements to a skeletal model. Third, real-time data transfer is realized through publish-subscribe messaging mechanism in robot operating system. Next, joint angles are computed through a fast mapping algorithm and sent to a slave controller through a serial port. Finally, visualization terminals render it convenient to make comparisons between two motion systems.

Experimentation in various industrial mission scenes, such as approaching flanges, shows the numerous advantages brought by natural teaching, including being real-time, high accuracy, repeatability and dexterity.

The proposed paradigm realizes the natural cross-modal combination of perception information and enhances the working capacity and flexibility of industrial robots, paving a new way for effective robot teaching and autonomous learning.

The paper aims to provide a comprehensive investigation of the relationship between corporate governance (CG) structure and firm performance in Chinese listed firms from 2001 to 2015. The authors’ motivation derives from the fact that the CG system in China is different from those in the US, the UK, Germany, Japan and other countries.

A large unbalanced sample, covering more than 22,700 observations in Chinese listed firms, was used to explore, by means of a system-generalized method-of-moments (GMM) estimator, the relationship between CG structure and firm performance to remove potential sources of endogeneity.

Results show that Chinese CG structure is endogenously determined by the CG mechanisms investigated: there is no relationship between board size (including independent directors) and firm performance; CEO duality has a significantly negative effect on firm performance; concentration of ownership has a significantly positive influence on firm performance; managerial ownership is negatively correlated with firm performance; state ownership has a significantly positive effect on firm performance; and a supervisory board is positively correlated with firm performance.

The findings provide policymakers and firm managers with useful empirical guidance concerning CG in China.

Few integrative studies have examined the impact of CG structure on firm performance in China. This study adds new empirical evidence that the relation between CG structure and performance in China is endogenous and dynamic when controlling for unobserved heterogeneity, simultaneity, and dynamic endogeneity.

The main aim of this study is to examine the effect of investment in outside governance monitoring (IOGM), through non-executive directors' remuneration (NEDR) and external audit fees (AFEE), on real earnings management (REM) in an emerging market in the Southeast Asia region, Malaysia.

The data comprises 1,056 observations from manufacturing companies listed on Bursa Malaysia for the four-year period, 2013 to 2016. The study tests IOGM individually and aggregately with REM. Feasible generalized least squares (FGLS) regression is used to test the hypotheses.

The results show that NEDR is negatively and significantly associated with REM. Likewise, AFEE is significantly associated with lower REM. Aggregate IOGM significantly mitigates REM. Additional tests conducted show consistent findings.

This evidence supports agency theory and signaling theory, that a high level of investment in governance monitoring signals a high demand for monitoring and fewer agency problems. It justifies more investment in outside scrutiny and monitoring to limit the existence of managers' opportunistic behavior in concentrated markets. This study relies on an aggregate measure of REM and focuses on manufacturing companies in Malaysia; thus, the results may not be the same using other measurements and samples.

The study, to the best of the researchers' knowledge, is the first to document evidence in an emerging market suggesting that higher NEDR and AFEE are individually and aggregately associated with lower REM. Policymakers, shareholders and researchers may consider investment in these two mechanisms as a proxy of high-quality monitoring that mitigates REM.

Although listed firms in Africa are increasingly establishing board sustainability committees, their impact on corporate outcomes in the region remains relatively understudied. This study investigates the effect of executive compensation (EC) and board sustainability committee initiatives (BSCIs) on both self-reported greenhouse gas emission reduction initiatives (SRGI) and actual greenhouse gas emissions (GHGE).

Through the lens of resource-based view and legitimacy and stakeholder theoretical perspectives, the study conducts a fixed-effects model over a dataset of 2,310 firm-year observations from African countries between 2002 and 2022.

The findings show that while EC has a negative impact on SRGI, it does not have a similar effect on outcome-based GHGE reduction. The study observes that SRGI has no effect on actual GHG emissions. We add a fresh dimension to the literature by documenting that BSCIs are associated with greater outcome-based GHGE but do not seem to improve symbolic SRGI. The evidence shows that BSCIs have no moderating impact on the association between symbolic SRGI and outcome-based GHGE. Finally, the study establishes that the predicted associations vary across different periods.

This study helps unpack the role of the board sustainability committee, which Orazalin et al. (2024) show has key economic implications. The findings help stakeholders including corporate boards, executives and regulators to understand how board sustainability committee characteristics and EC are associated with GHG emissions. The results are particularly essential as this study demonstrates the need for specific standards for disclosing GHG emission-related information, notably in the non-existence of mandatory GHG reporting.

The purpose of this paper is to investigate the endogeneity effect of state ownership on firm value in Indonesia.

Using a sample of 139 Indonesian non-financial listed companies from 2009 to 2013, this study uses two-stage least square (2SLS) methods.

The results of 2SLS show that state ownership as “continuous measure, dummy variable and after adjusting the outliers” are negatively and significantly influenced firm value, implying that state ownership tends to lower firm value. Moreover, the results also show that U-shaped effect of state ownership with firm value, implying that the size of shareholders by state increases, firm value initially decreases and then increases.

The study intends to provide the shareholders, managers and investors with clear guidance before their investment decisions.

This paper provides evidence that the agency costs may increase in firms with state ownership share.

This is the first paper contributes to the corporate governance literature by investigating the endogeneity effect between state ownership and firm value using 2SLS method in Indonesia.