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With the advent of the Fourth Industrial Revolution, construction technology innovation through high-tech convergence is actively taking place, and the smart construction technology market is growing rapidly. However, as it focuses on the use of individual technologies, research into the factors that have a major impact on their intended effect is insufficient. Thus, this study investigates these factors and their mutual influences from various perspectives to promote the use of smart technology to improve construction projects. Ten performance-influencing factors were derived from four perspectives based on the balanced scorecard technique. In addition, based on a survey of projects that use smart technology, the current status of its application and performance characteristics were analyzed, and a causal relationship model among the factors was presented. This study provides a foundation for identifying major areas for the efficient use of smart technology and performance measurement, and it will contribute to the introduction and activation of smart construction technology.

Rubber hand illusion (RHI) is an important phenomenon for the investigation of body ownership and self/other distinction. The illusion is promoted by the spatial and temporal contingencies of visual inputs near a fake hand and physical touches to the real hand. The neural basis of this phenomenon is not fully understood. We hypothesized that the RHI is associated with a fronto-parietal circuit, and the goal of this study was to determine the dynamics of neural oscillation associated with this phenomenon. We measured electroencephalography while delivering spatially congruent/incongruent visuo-tactile stimulations to fake and real hands. We applied time–frequency analyses and calculated renormalized partial directed coherence (rPDC) to examine cortical dynamics during the bodily illusion. When visuo-tactile stimulation was spatially congruent, and the fake and real hands were aligned, we observed a reduced causal relationship from the medial frontal to the parietal regions with respect to baseline, around 200 ms post-stimulus. This change in rPDC was negatively correlated with a subjective report of the RHI intensity. Moreover, we observed a link between the proprioceptive drift and an increased causal relationship from the parietal cortex to the right somatosensory cortex during a relatively late period (550–750 ms post-stimulus). These findings suggest a two-stage process in which (1) reduced influence from the medial frontal regions over the parietal areas unlocks the mechanisms that preserve body integrity, allowing RHI to emerge; and (2) information processed at the parietal cortex is back-projected to the somatosensory cortex contralateral to the real hand, inducing proprioceptive drift.

Tourism is considered a competent driver of development in emerging economies. This study assesses the role of tourism in shaping the fundamental pillars of development in developing economies by targeting the case of Pakistan. Various econometric techniques and approaches were used to investigate the causal relationships of tourism with economic growth, energy and agriculture development, and poverty. This study highlights the important role of tourism in the development of emerging economies. The findings of our study suggest that a 1% increase in tourism significantly enhances gross domestic product (GPD) by 0.051%, foreign direct investment by 2.647%, energy development by 0.134%, and agriculture development by 0.26%, and reduces poverty by 0.51% in the long run. Hence, policy-makers should be informed that through public interventions, tourism can advance development by the design and implementation of integrated policies in developing economies. In addition, policy consistency and coherence are essential for competitiveness, sustainability, and maximizing benefits from tourism.

The effects of plants on the biosphere, atmosphere and geosphere are key determinants of terrestrial ecosystem functioning. However, despite substantial progress made regarding plant belowground components, we are still only beginning to explore the complex relationships between root traits and functions. Drawing on the literature in plant physiology, ecophysiology, ecology, agronomy and soil science, we reviewed 24 aspects of plant and ecosystem functioning and their relationships with a number of root system traits, including aspects of architecture, physiology, morphology, anatomy, chemistry, biomechanics and biotic interactions. Based on this assessment, we critically evaluated the current strengths and gaps in our knowledge, and identify future research challenges in the field of root ecology. Most importantly, we found that belowground traits with the broadest importance in plant and ecosystem functioning are not those most commonly measured. Also, the estimation of trait relative importance for functioning requires us to consider a more comprehensive range of functionally relevant traits from a diverse range of species, across environments and over time series. We also advocate that establishing causal hierarchical links among root traits will provide a hypothesis-based framework to identify the most parsimonious sets of traits with the strongest links on functions, and to link genotypes to plant and ecosystem functioning.

PurposeDrawing upon the conservation of resources theory, this study investigates the recursive relationship between abusive supervision and service performance and the moderating role of coworker support in this recursive relationship.Design/methodology/approachThis study tests the model using moderated cross-lagged analysis with a three-wave longitudinal data from 146 hospitality employees who were working and studying in hospitality.FindingsResults support the recursive relationship: abusive supervision impairs service performance and employees with low service performance provoke abusive supervision. Coworker support mitigates the lagged effect between abusive supervision and service performance and that between service performance and abusive supervision.Practical implicationsHospitality organizations should have a zero-tolerance policy toward abusive supervision. Employees who would like to avoid abuse should improve their service performance and seek coworker support.Originality/valueThis study uses a novel analytical approach to examine the recursive relationship between abusive supervision and service performance. It provides evidence on the bidirectional causal relationship and sheds light on how employees can avoid getting abused. This study is also one of the first studies that examine the moderating role of coworker support on the effect of service performance on abusive supervision.

Periodontitis (PD) has been linked to arthritis in previous epidemiological observational studies; however, the results are inconclusive. It remains unclear whether the association between PD and arthritis is causal. The purpose of this study was to investigate the causal association of PD with arthritis, including rheumatoid arthritis (RA) and osteoarthritis (OA). We performed a two-sample bidirectional Mendelian randomization (MR) analysis using publicly released genome-wide association studies (GWAS) statistics. The inverse-variance weighted (IVW) method was used as the primary analysis. We applied four complementary methods, including weighted median, weighted mode, MR-Egger regression and MR pleiotropy residual sum and outlier (MR-PRESSO) to detect and correct for the effect of horizontal pleiotropy. Genetically determined PD did not have a causal effect on OA (OR = 1.06, 95% CI: 0.99-1.15, = 0.09) and RA (OR = 0.99, 95% CI: 0.87-1.13, = 0.89). Furthermore, we did not find a significant causal effect of arthritis on PD in the reverse MR analysis. The results of MR-Egger regression, Weighted Median, and Weighted Mode methods were consistent with those of the IVW method. Horizontal pleiotropy was unlikely to distort the causal estimates according to the sensitivity analysis. Our MR analysis reveals non-causal association of PD with arthritis, despite observational studies reporting an association between PD and arthritis.

Under the dual impact of the COVID-19 pandemic and the Russian-Ukrainian conflict, the excessive stimulation of monetary policy continuously pushes up global inflation (INF). Therefore, this article explores whether Bitcoin can serve as a safe haven for INF. We apply the rolling-window Granger causality test to solve the issue of parameter instability in vector autoregression (VAR) systems and investigate the time-varying interaction between INF and Bitcoin price (BP). The negative influence of INF on BP means a high inflation shock causes BP to decline, indicating that Bitcoin cannot be a safe asset against INF. This is because investors have decreased their willingness to hold Bitcoin under the high INF expectations and cause BP to fall. This finding is not supported by the Intertemporal Capital Asset Pricing Model, emphasising that INF positively impacts BP. Conversely, BP has positive and negative impacts on INF. The positive effect highlights the effectiveness of Bitcoin in predicting INF fluctuations, but economic factors could undermine this effectiveness. In the context of economic stagnation and market turmoil, investors can adjust their portfolio investments based on Bitcoin. The government should utilise the trend of BP to regulate the dynamics of INF to reduce uncertainty in the financial system. First published online 30 August 2024

Background Epidemiological evidence links a close correlation between long-term exposure to air pollutants and autoimmune diseases, while the causality remained unknown. Methods Two-sample Mendelian randomization (TSMR) was used to investigate the role of PM10, PM2.5, NO 2 , and NO X (N = 423,796–456,380) in 15 autoimmune diseases (N = 14,890–314,995) using data from large European GWASs including UKB, FINNGEN, IMSGC, and IPSCSG. Multivariable Mendelian randomization (MVMR) was conducted to investigate the direct effect of each air pollutant and the mediating role of common factors, including body mass index (BMI), alcohol consumption, smoking status, and household income. Transcriptome-wide association studies (TWAS), two-step MR, and colocalization analyses were performed to explore underlying mechanisms between air pollution and autoimmune diseases. Results In TSMR, after correction of multiple testing, hypothyroidism was causally associated with higher exposure to NO 2 [odds ratio (OR): 1.37, p  = 9.08 × 10 –4 ] and NO X [OR: 1.34, p  = 2.86 × 10 –3 ], ulcerative colitis (UC) was causally associated with higher exposure to NO X [OR: 2.24, p  = 1.23 × 10 –2 ] and PM2.5 [OR: 2.60, p  = 5.96 × 10 –3 ], rheumatoid arthritis was causally associated with higher exposure to NO X [OR: 1.72, p  = 1.50 × 10 –2 ], systemic lupus erythematosus was causally associated with higher exposure to NO X [OR: 4.92, p  = 6.89 × 10 –3 ], celiac disease was causally associated with lower exposure to NO X [OR: 0.14, p  = 6.74 × 10 –4 ] and PM2.5 [OR: 0.17, p  = 3.18 × 10 –3 ]. The risky effects of PM2.5 on UC remained significant in MVMR analyses after adjusting for other air pollutants. MVMR revealed several common mediators between air pollutants and autoimmune diseases. Transcriptional analysis identified specific gene transcripts and pathways interconnecting air pollutants and autoimmune diseases. Two-step MR revealed that POR, HSPA1B, and BRD2 might mediate from air pollutants to autoimmune diseases. POR pQTL (rs59882870, PPH4=1.00) strongly colocalized with autoimmune diseases. Conclusion This research underscores the necessity of rigorous air pollutant surveillance within public health studies to curb the prevalence of autoimmune diseases. Graphical abstract (Built by the Biorender)

Online lending is a product of digital transformation, which has had a profound impact on the traditional money market. This paper discusses the impact of peer-to-peer (P2P) online lending on the effectiveness of monetary policy. Through the bootstrap sub-sample rolling-window Granger causality tests show that P2P has both positive and negative impacts on the money supply (M2). The positive impact of P2P on M2 indicates that online loans increase the amount of money supply. The negative impact of P2P on M2 shows that it may cut the money supply, thus weakening the monetary policy effectiveness. The general equilibrium model is inconsistent with these results, which underlines a positive effect from P2P to M2. In turn, the negative impact points out that the adjustment of monetary policy will hinder the development of P2P. The negative impact of M2 on P2P indicates that through the regulation of money supply, the online lending market can be correctly guided to prevent financial market from getting out of control. Through the supervision of online lending industry, we can accurately grasp the development of the internet financial industry and reduce its impact on monetary policy. First published online 3 September 2024

The relationship between urbanization and economic development has become a hot topic in the scientific community due to its great practical significance, and economic and social value. However, this relationship continues to change dynamically. In the new stage of urbanization, it is urgent to reveal the causal relationship quantitatively and diagnose the future direction systematically. Based on this, this paper calculates the contribution rate of China’s urbanization to economic development from 1978 to 2019 and uses the panel data cointegration test method to explore the causal relationship between urbanization and economic development in China. The study has three principal results. First, the contribution rate of urbanization to economic growth has maintained the overall growth trend from 1978 to 2019, but the growth rate of urbanization’s contribution to economic growth has been relatively low since 2012. It is an important reason that the real estate sector has moved into a new stage of transformation. Second, the cointegration test shows that economic development is a significant factor in advancing urbanization and the urbanization is the product of economic development. Urbanization has a positive feedback effect on economic development, but this effect does not pass the 5% significance level test. The impulse response function shows that the impact of urbanization on economic development is relatively small and stable, indicating that it is limited that the boost of economic development by land-centered urbanization. Third, China’s urbanization and economic development have both shown rapid growth for some time, but their relationship is still the low level of coordination, which has also led to a downward trend in the contribution of new-type, people-oriented urbanization to economic growth in recent years. In the future, China’s urbanization and economy need to maintain relatively medium-low speed growth in the medium-long term, and we should boost the coordinated development of urbanization and economy from low level to high level.