The burden of acute lymphoid leukemia among adolescents and young adults in the Western Pacific Region: evidence from Global Burden Disease 2019

PURPOSE

Acute lymphoblastic leukemia (ALL) is a type of blood cancer that affects white blood cells. Here, we use data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, to estimate the burden and incidence rate changes in adolescents and young adults (AYA) ALL in the Western Pacific Region and to reveal potential risk factors of incidence- and mortality rates.

METHODS

The GBD 2019 study data was stratified by sex, age, country, and territory. We calculated the Estimated annual percentage changes (estimated APC) in mortality and incidence rates for each of the 25 countries and territories of the western Pacific region from 1990 to 2019.

RESULTS

This study found global AYA ALL incidence rates had increased while the mortality rates had decreased between 1990 and 2019. Moreover, healthcare access and quality (HAQ), and government per capita health spending were identified as country-level risk factors of AYA ALL incidence rates, while HAQ, male education, and sex were identified as mortality rate predictors in 25 Western Pacific Region countries.

CONCLUSION

To address and reduce the burden of incidence and mortality among AYA, various regions around the world, particularly developing countries, could revise their AYA prevention and treatment strategies.

Enhancing surgical outcomes: accurate identification and removal of prostate cancer with B7-H3-targeted NIR-II molecular imaging

PURPOSE

One of the main reasons for prostate cancer (PCa) recurrence is the difficulty in identifying and removing cancerous lesions during surgery. Accurately localizing and excising cancerous tissue remains a significant challenge. The second near-infrared window (NIR-II, 1000-1700 nm) fluorescence offers enhanced resolution, a high signal-to-noise ratio, and the potential for deeper tissue penetration. However, this technology is not currently employed for intraoperative imaging of PCa. This study aims to construct a new NIR-II probe targeting B7-H3 (AbB7-H3-800CW) for accurate intraoperative identification and resection of PCa.

METHODS

Based on the differential expression of B7-H3 in PCa, we designed a novel imaging probe to accurately identify and guide the resection of preclinical PCa models and ex vivo human PCa tissues using NIR-II fluorescence imaging technology.

RESULTS

Analyzing tissue samples from 60 clinical cases of PCa, along with benign prostatic hyperplasia and normal prostate tissue from 22 cases, we observed a significant difference in B7-H3 protein expression levels (P < 0.001). Subcutaneous and orthotopic mouse models of PCa were imaged using NIR-II fluorescence after AbB7-H3-800CW injection, showing promising results with successful tumor targeting and high-contrast images achieved within 24-48 h post-injection. The imaging also enabled the detection of occult PCa lesions approximately 1 mm in diameter. In addition, imaging analysis of human PCa and adjacent tissues using AbB7-H3-800CW incubation revealed that cancer tissues exhibited a significantly higher fluorescence intensity than adjacent tissues (P < 0.05), which was conducive to the evaluation of tumor resection margin in vitro.

CONCLUSION

The findings revealed that B7-H3 was a compelling imaging target for PCa. The AbB7-H3-800CW molecular imaging probe is capable of accurately identifying PCa lesions and guiding their removal. This approach can potentially reduce the rate of surgical margins under NIR-II fluorescence guidance.

Deciphering the Prognostic Significance of MYD88 and CD79B Mutations in Diffuse Large B-Cell Lymphoma: Insights into Treatment Outcomes

BACKGROUND

The clinical and genetic characteristics, as well as treatment outcomes, of diffuse large B-cell lymphoma (DLBCL) patients with different MYD88 and CD79B mutation status merit further investigation.

OBJECTIVE

This study aims to investigate the distinctions in clinical manifestations, genetic characteristics, and treatment outcomes among MYD88-CD79Bco-mut, MYD88/CD79Bsingle-mut, and MYD88-CD79Bco-wt DLBCL patients.

PATIENTS AND METHODS

Clinical and genetic characteristics, along with treatment outcomes among 2696 DLBCL patients bearing MYD88-CD79Bco-mut, MYD88/CD79Bsingle-mut, and MYD88-CD79Bco-wt treated with R-CHOP/R-CHOP-like regimens from the Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College and six external cohorts were analyzed. Potential molecular mechanisms were investigated through Gene Set Enrichment Analysis and xCell methodology.

RESULTS

In the MCD subtype, patients with MYD88-CD79Bco-mut showed comparable progression-free survival (PFS) and overall survival (OS) compared to MYD88/CD79Bsingle-mut or MYD88-CD79Bco-wt. However, in the non-MCD subtype, patients with MYD88-CD79Bco-mut exhibited significantly inferior OS than MYD88/CD79Bsingle-mut or MYD88-CD79Bco-wt, while there was no significant OS difference between MYD88/CD79Bsingle-mut and MYD88-CD79Bco-wt (median OS: 68.8 [95% CI 22-NA] vs NA [95% CI 112-NA] vs 177.7 [95% CI 159-NA] months; MYD88-CD79Bco-mut vs MYD88/CD79Bsingle-mut: p = 0.02; MYD88-CD79Bco-mut vs MYD88-CD79Bco-wt: p = 0.03; MYD88/CD79Bsingle-mut vs MYD88-CD79Bco-wt: p = 0.33). Regarding patients with MYD88-CD79Bco-mut, there was no significant difference in PFS and OS between the MCD and non-MCD subtypes. Within the MYD88-CD79Bco-mut group, patients with PIM1mut had better PFS than PIM1wt (median PFS: 8.34 [95% CI 5.56-NA] vs 43.8 [95% CI 26.4-NA] months; p = 0.02). Possible mechanisms contributing to the superior PFS of PIM1mut patients may include activated lymphocyte-mediated immunity and interferon response, a higher proportion of natural killer T cells and plasmacytoid dendritic cells, as well as suppressed angiogenesis and epithelial-mesenchymal transition, along with lower fibroblast and stromal score.

CONCLUSIONS

In the MCD subtype, patients with MYD88-CD79Bco-mut showed comparable PFS and OS compared to MYD88/CD79Bsingle-mut or MYD88-CD79Bco-wt, while in the non-MCD subtype, they exhibited significantly inferior OS. There was no significant disparity in PFS and OS of MYD88-CD79Bco-mut between the MCD and non-MCD subtypes. The presence of PIM1mut within the MYD88-CD79Bco-mut group correlated with better PFS, which may result from an intricate interplay of immune processes and tumor microenvironment alterations.

How does air pollution affect household consumption? Evidence from China

Increasing air pollution not only affects the population's health but also changes its consumption structures and patterns. Using China Family Panel Studies, this study investigates the relationship between air pollution and household consumption. The findings reveal that household consumption is considerably affected by air pollution: One standard deviation rise of PM2.5 concentration will decrease the household consumption by 8.7%. Moreover, this effect is irreversible in the short term. What is more, air pollution has significantly changed consumption structure and patterns. Heterogeneous analysis indicates that the influence of air pollution on consumption generates the so-called Matthew Effect, wherein medium and low-income and rural households are exposed to a greater negative effect. Mechanism tests indicate that air pollution may reduce household consumption through three channels: increase negative emotions, decrease outdoor activities, and depress future expectations. The conclusions drawn in this paper enrich our understanding of the economic impact caused by air pollution and bring important significance to the government in promoting the coordination and sustainable development of the environment and economy.

Aerobic fitness as a moderator of acute aerobic exercise effects on executive function

This study aimed to investigate the moderating role of aerobic fitness on the effect of acute exercise on improving executive function from both behavioral and cerebral aspects. Thirty-four young individuals with motor skills were divided into high- and low-fitness groups based on their maximal oxygen uptake. Both groups completed 30 min of moderate-intensity aerobic exercise on a power bike. Executive function tests (Flanker, N-back, More-odd-shifting) were performed before and after exercise and functional near-infrared spectroscopy was used to monitor prefrontal cerebral blood flow changes during the tasks. The results indicated significant differences between the two groups regarding executive function. Participants with lower aerobic fitness performed better than their higher fitness counterparts in inhibitory control and working memory, but not in cognitive flexibility. This finding suggests that the aerobic fitness may moderate the extent of cognitive benefits gained from acute aerobic exercise. Furthermore, the neuroimaging data indicated negative activation in the frontopolar area and dorsolateral prefrontal cortex in response to three complex tasks. These findings underscore the importance of considering individual aerobic fitness when assessing the cognitive benefits of exercise and could have significant implications for tailoring fitness programs to enhance cognitive performance.

What contributes more to BRI economic growth, renewable or non-renewable energy consumption: A third generation panel data analysis

Given the increasing investment by Belt and Road Initiative (BRI) participants in the renewable energy industry, it is imperative to ascertain how much this investment contributes to economic growth. The objective of this study is to ascertain the extent to which renewable energy contributes to economic growth within the Belt and Road Initiative compared to non-renewable energy sources. Prior studies have yet to incorporate oil prices as a variable in the production function, among other output aspects. This study integrates the inclusion of real oil prices as a variable within the production function alongside capital, labor, renewable energy consumption, and non-renewable energy consumption. A cohort including 49 Belt and Road Initiative participants was formed, encompassing data from 1990 to 2019. The data has undergone an initial examination to assess cross-sectional dependence, slope heterogeneity, and structural break(s), and are verified. Hence, third-generation panel data analysis has been utilized. The continuously updated fully modified estimator and continuously updated biased corrected estimator provide evidence supporting the notion that renewable energy plays a substantial role in fostering economic growth within nations participating in the Belt and Road Initiative. Furthermore, this contribution is found to be more pronounced when compared to the impact of non-renewable energy sources. The study's findings inform policy recommendations at both the BRI and national level.

An analysis and prediction of carbon emissions in the sphere of consumer lifestyles in Beijing

In alignment with China's "dual carbon" goals and its quest to build an ecological civilization, this study scrutinizes the carbon emissions derived from consumer lifestyles, with a particular focus on Beijing, a high-consumption urban metropolis. Utilizing the expanded STIRPAT model and ridge regression, factors such as permanent population, per capita consumption expenditure, energy intensity, energy structure, and consumption structure are examined to evaluate their impact on lifestyle-associated carbon emissions. A scenario analysis is also conducted to project future carbon emissions in Beijing. From 2010 to 2020, there was an overall upward trend in lifestyle-associated carbon emissions, up to a maximum of 87.8260 million tons. Indirect consumption-related carbon emissions, particularly those associated with residential and transportation-related consumption, constituted the primary sources. The most influential factors on carbon emissions were found to be the consumption structure. Notably, adopting a low-carbon consumption mindset and an optimized consumption structure could foster significant carbon reduction. Projections suggest that by 2035, carbon emissions due to residents' consumption could decline by 39.72% under a low-carbon consumption scenario and by 48.74% under a coordinated development scenario. Future efforts should prioritize promoting green, low-carbon living, refining consumption structure and practices, curbing excessive housing consumption, improving energy structure, and raising technological and energy efficiency standards.

Parenting links to parent-child interbrain synchrony: a real-time fNIRS hyperscanning study

Parent-child interaction is crucial for children's cognitive and affective development. While bio-synchrony models propose that parenting influences interbrain synchrony during interpersonal interaction, the brain-to-brain mechanisms underlying real-time parent-child interactions remain largely understudied. Using functional near-infrared spectroscopy, we investigated interbrain synchrony in 88 parent-child dyads (Mage children = 8.07, 42.0% girls) during a collaborative task (the Etch-a-Sketch, a joint drawing task). Our findings revealed increased interbrain synchrony in the dorsolateral prefrontal cortex and temporo-parietal areas during interactive, collaborative sessions compared to non-interactive, resting sessions. Linear regression analysis demonstrated that interbrain synchrony in the left temporoparietal junction was associated with enhanced dyadic collaboration, shared positive affect, parental autonomy support, and parental emotional warmth. These associations remained significant after controlling for demographic variables including child age, child gender, and parent gender. Additionally, differences between fathers and mothers were observed. These results highlight the significant association between brain-to-brain synchrony in parent-child dyads, the quality of the parent-child relationship, and supportive parenting behaviors. Interbrain synchrony may serve as a neurobiological marker of real-time parent-child interaction, potentially underscoring the pivotal role of supportive parenting in shaping these interbrain synchrony mechanisms.

Winter is coming: An investigation of vigilant leadership, antecedents, and outcomes

Within the hierarchical taxonomy of effective leadership, change-oriented leadership stands as a distinct and meaningful metacategory, primarily focusing on promoting change by communicating a compelling vision for the future. However, we consider whether there might be room to broaden the scope of change-oriented leadership by examining more negative-focused leadership behaviors. In this article, we explore the concept of vigilant leadership, which we suggest could be a change-oriented and negative-focused leadership style, and investigate its usefulness as a new leadership construct. In Study 1, we take preliminary steps toward developing a measure of vigilant leadership, employing content adequacy assessment and item response theory analysis. Drawing on the integrative trait-behavioral model of leadership effectiveness (DeRue et al., 2011), we further explore how vigilant leadership is associated with an array of antecedents (i.e., leader characteristics) and leadership outcomes. In Studies 2a and 2b, we present initial findings that leaders high on consideration of future consequences, prevention focus, general self-efficacy, and emotional intelligence might be more inclined to exhibit vigilant leadership. In Study 3, our results suggest that, even after controlling for the effect of visionary leadership (a type of positive-focused change-oriented leadership), vigilant leadership is positively related to follower felt responsibility for change, proactivity, specific proactive work behaviors (taking charge, voice, and problem prevention), teamwork proactivity, and teamwork proficiency. However, it does not seem to relate to follower proficiency, follower adaptivity, teamwork adaptivity, organizational citizenship behavior, positive affect toward the leader, leader-member exchange, or relational identification with the leader. With these preliminary findings, we encourage further discussion and investigation into the potential implications of this emerging construct. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Strategies selection for building e-commerce platforms for agricultural wholesale markets: A tripartite evolutionary game perspective

The rapid advancement and widespread implementation of digital technology have created opportunities for the e-commerce transformation of agricultural wholesale markets. The building of e-commerce platforms in this process is of utmost importance and should be approached methodically. This article analyzes the interests and behavioral choices of the agricultural wholesale markets, local government, and wholesalers by establishing a tripartite evolutionary game model. It applies replicator dynamics equations to describe the evolutionary strategies of each party. The findings of the study indicate that the behavioral choices of agricultural wholesale markets, local government, and wholesalers are influenced by their initial intentions. Furthermore, there exists a degree of alignment between the choices made by agricultural wholesale markets and wholesalers. The building of e-commerce platforms by agricultural wholesale markets can be facilitated through direct and indirect government subsidies; this also motivates wholesalers to adopt and utilize these platforms. Agricultural wholesale markets may further incentivize wholesalers to utilize their own e-commerce platforms by offering additional benefits. On the other hand, if the agricultural wholesale markets demonstrate strong initial inclinations toward using third-party e-commerce platforms. In this scenario, the local government has the potential to promote the widespread use of these platforms by providing both direct and indirect financial incentives to these markets, as well as actively encouraging wholesalers to participate in them. This study presents policy recommendations for agricultural wholesale markets and local government to support the effective implementation of e-commerce platforms in the agricultural wholesaler markets and facilitate a smooth transition to e-commerce in agricultural wholesale markets.

Will the central land inspection affect the intensity of local environmental protection? Evidence from China

Observing the impact and alienation of local government implementation of central policies is helpful for a comprehensive understanding of the effectiveness of central policy execution and the systematic formulation of central-local management policies. This paper takes the influence of land inspections on local government environmental behavior as the research object, based on the land inspection system initiated by the central government in 2006. It uses panel data from 30 provinces in China and a difference-in-differences method to assess the environmental protection crowding-out effect of land inspections for the first time and conducts an in-depth exploration of its mechanisms and heterogeneity. The study findings are as follows: (1) In a long-term sample spanning from 1997 to 2020, the establishment of land inspection bureaus did not significantly increase the level of environmental pollution in the host regions. (2) In a short-term sample spanning from 2000 to 2015, the establishment of land inspection bureaus significantly increased the level of environmental pollution in the host regions. (3) The environmental protection crowding-out effect of land inspections is mainly due to the restraint on local government fiscal revenue. (4) The larger the economic scale, the more significant the positive effect of land inspections on the level of environmental pollution in the host regions.

A study on the two-level allocation of carbon emission quotas in China at the provincial level

Carbon emission reduction is an essential means to achieve the "double carbon goal," and the scientific and reasonable allocation of carbon emission quotas (CEQ) is the basis for promoting carbon emission reduction. In this study, the first level was based on the entropy TOPSIS scores of provinces under the principles of fairness, efficiency, sustainability, and feasibility and used the K-mean clustering method to cluster the 30 provinces and allocate the CEQ to each zone group; the second level consolidated the impacts of the four principles and the marginal abatement costs of CO2 to allocate CEQ to the provinces within the zone group. Finally, each province's initial spatial balance of CEQ (ISBQ) is classified and evaluated. The study shows that the most quotas are for Guangdong, Zhejiang, and Inner Mongolia, and the least for Ningxia, Shanxi, and Guizhou. This study compares the results of CEQ allocation with the current carbon emission scale and finds that 11 provinces, such as Shandong and Hebei, show a deficit in future carbon emission space, and 19 provinces, such as Hainan and Beijing, show a surplus in carbon emission space. Given each province's different emission reduction tasks and pressures, differentiated emission control policies are the key to achieving China's "2030 target".

Emotional involvement matters, too: Associations among parental involvement, time management and academic engagement vary with Youth's developmental phase

BACKGROUND

Prior studies have emphasized the importance of parents' educational involvement (a type of cognitive involvement) to academic engagement, although little is known about emotional involvement.

AIMS

This study investigated whether and how different facets of involvement (cognitive vs. emotional, paternal vs. maternal) are differentially related to academic engagement and whether and how the associations among parental involvement, time management and academic engagement vary by adolescents' developmental phases.

SAMPLES

The participants of this large national survey were students in elementary, middle and high school across different regions of mainland China. A total of 2687 adolescents (52.7% females, Mage  = 14.07 ± 2.47) participated in this study.

METHODS

Structural equation models and multigroup analysis were conducted.

RESULTS

We found that the total effect of paternal and maternal emotional involvement on academic engagement was positive in elementary-, middle- and high school students, and an indirect effect of time management underlying the above paths was found in all three groups. In contrast, the positive effect of maternal cognitive involvement on academic engagement as well as the indirect effects underlying the above pathways was established only in high school students.

CONCLUSIONS

The findings highlight the necessity of parents' emotional involvement and the consideration of adolescent developmental characteristics in the design of interventions.

Attentive immobility: Investigating the emotional-cognitive mechanism underlying conspiracy mentality and Covid-19 preventive behaviors

While conspiracy theories have received extensive attention in the realm of misinformation, there has been limited research exploring the impact of conspiracy mentality on individuals' preventive behaviors during acute public health crises. This study investigates how conspiracy mentality may affect compliance with preventive health measures necessary to fight the COVID-19 pandemic, and the underlying emotional and cognitive mediators. Data was collected through a survey among 1878 Chinese respondents at the conclusion of the pandemic. The results indicate that individuals with higher levels of conspiracy mentality are significantly less engaged in preventive behaviors. Furthermore, this correlation is mediated by a sequence of mediating factors, starting from anger leading to institutional distrust and fear leading to perceived risk. Conspiracists' response mode can be described as a state of "attentive immobility," in which the impact of heightened institutional distrust outweighs their perceptions of risk, ultimately reducing engagement in preventive behaviors during crises. These findings underscore the importance of debunking initiatives that aim to address and mitigate the negative consequences of conspiracy mentality by targeting the mediating psychological processes during future pandemic threats.

Innovation network, knowledge absorption ability, and technology innovation performance--An empirical analysis of China's intelligent manufacturing industry

Based on the social network theory, this study utilizes knowledge absorption capacity as the mediating variable and technology turbulence as the moderating variable; furthermore, it focuses on China's intelligent manufacturing industry data to explore the effect of the intelligent manufacturing enterprise innovation network on technology innovation performance and the regulating mechanism of technology turbulence. Based on the patent data obtained from Derwent Database (survey period: 2016-2020), the empirical analysis indicates the following: (1) Network relationship, network location, and network density are significantly and positively correlated with technology innovation performance; however, network size exerts no significant effect on technology innovation performance. (2) Network relationship strength, network location, and network density exert significantly positive effects on the two dimensions of knowledge absorption capacity, namely the In-degree and the Out-degree. Network size exerts no significant effect on knowledge absorption capacity. (3) Knowledge absorption capacity exerts a partial mediating effect on the relationship between innovation network and technology innovation performance. (4) The three dimensions of innovation network that exert a significant effect on technology innovation performance are positively correlated with the interaction terms of technology turbulence, which indicates that the interaction terms, namely innovation network and technology turbulence, exert a positive impact on technology innovation performance through knowledge absorption capacity, and that the moderating effect of technology turbulence exerts a role through knowledge absorption capacity. Finally, this study postulates implementations and policy proposals for enhancing the innovation performance of intelligent manufacturing enterprises.

Preliminary effects of a WeChat-based educational intervention on social participation among older adults in a community

BACKGROUND

The social participation of older people should be encouraged, as it is fundamental to their well-being and the practice of aged care. Therefore, the ability of older persons to participate in society should be strengthened.

OBJECTIVE

To evaluate the preliminary effects of a WeChat-based educational intervention on the social participation of community-dwelling older adults in China.

METHODS

This study was a quasi-experimental design. Twenty-eight community-dwelling older adults participated in a WeChat-based educational intervention. The intervention contents included concepts and preparation of social participation, analysis of participation resources and capabilities, technological adaptation, emotional management, setting of to-do lists, etc. Social participation, self-worth and subjective well-being were measured via the WeChat application on smartphones at baseline, immediately after the intervention, and a 3-month follow-up. We analysed data using paired t-tests and analysis of variance (ANOVA).

RESULTS

We found statistically significant improvements in social participation (active aging) (F = 4.408; p < .05) as well as the self-worth dimensions of moral worth (F = 4.135; p < .05) and psychological worth (F = 3.234; p < .05), and the negative-affect dimension of subjective well-being being decreased (F = 2.484; p < .05).

CONCLUSIONS

The WeChat-based education intervention can effectively improve social participation and self-worth, and may provide effective preventive healthcare solutions for older adults in China.

IMPLICATIONS FOR PRACTICE

The enormous value of the social participation of independent older adults must be recognised. Nurses can use smartphones to deliver health and social participation information in routine programs in aged care.

The role of procedural justice and risk preference-based mechanisms in acceptance of public policy

The current study examines the relationship between procedural justice and acceptance of public policy, the mediating effect of uncertainty as well as the moderating effect of risk preference in this relationship. Study 1 conducted a questionnaire survey on 154 residents from Beijing. The results showed that risk preference moderated the effect of procedural justice on acceptance of public policy. Accordingly, Study 2 conducted a scenario experiment on 136 college students from Beijing to examine the mediating role of uncertainty, while retesting the moderating mechanism of risk preference in more detail. Results showed that risk preference significantly moderated the effect of procedural justice on acceptance of public policy. Specifically, uncertainty was more negatively associated with acceptance of public policy among the risk-averse individuals than risk-seeking individuals. Risk preference indirectly moderated the relationship between procedural justice and acceptance of public policy by moderating the relationship between uncertainty and acceptance of public policy.

Spatial spillover effects of a carbon trading policy on green technology innovation in China

A carbon market is a widely used policy tool worldwide. This study employs a difference-in-differences (DID) model to estimate the impact of a carbon trading policy on green technology innovation and applies a spatial DID (SDID) model to investigate its spatial spillover effects. The findings suggest that China's carbon market effectively promotes green technology innovation, as green invention patent applications for listed enterprises increase by 28.8% when implementing the carbon trading policy. Moreover, implementing a carbon trading policy promotes local green technology innovation and has spatial spillover effects on neighboring cities. Furthermore, heterogeneity test results show that the spatial spillover effects differ by geographical region, economic development levels, ownership type (state-owned and non-state-owned enterprises), and degree of government intervention. Therefore, we suggest enhancing enterprises' technological innovation by providing policy support and prioritizing the development of carbon markets in regions with high economic development levels.

The carbon reduction effects of stepped carbon emissions trading and carbon capture and storage on hybrid wind-PV-thermal- storage generation operating systems

To accelerate the low-carbon transformation of the power industry, a range of carbon emission reduction policies and technologies have emerged. However, the current China's carbon emissions trading (CET) policy is inadequate in encouraging power generation enterprises to take proactive measures towards emission reduction due to challenges like fixed and low carbon prices. The high proportion of renewable energy in electricity consumption also faces significant challenges due to the unpredictable nature of wind and PV energy. Therefore, this paper applies stepped CET mechanism, energy storage system (ES) system and carbon capture and storage (CCS) mechanism together to hybrid renewable energy system, aiming to study their synergistic carbon emission reduction effect. Firstly, the paper constructs the stepped CET model considering incentives and penalties. Secondly, the stepped CET model, ES system and CCS are jointly introduced into the hybrid renewable energy system. Finally, a scenario analysis is conducted to investigate the synergistic effect of various carbon emissions reduction policies and technologies in the operation of power generation systems. The results show that: i) compared with traditional CET, the stepped CET increases renewable energy consumption by 0.12% and reduces carbon emissions by 0.6%; ii) the introduction of stepped CET and ES equipment together consumes an additional 36.1% of renewable energy and reduces carbon emissions by 32.4%; iii) based on stepped CET model and ES equipment, the introduction of CCS system reduces carbon emissions by 29.4%.

Visualizing the intellectual structure and evolution of carbon neutrality research: a bibliometric analysis

Carbon neutrality is a research hotspot and achieves increasing interests in recent years. In this paper, utilizing the Web of Science database as the data resource, we conduct a series of analyses for the carbon neutrality-related literature from the past decade based on CiteSpace, including the visualization analysis for the research hotspots and trends, discovery of intellectual structure and influential directions, as well as the cooperation analysis for representative researchers, organizations, and countries. The findings demonstrate that (a) the relationship between carbon emissions and economic growth has achieved increasing academic interests in recent years. (b) There are mainly four knowledge groups at present in this area including renewable energy and carbon emissions; international energy cooperation and investment; energy regulations and policies of different countries; technological innovation and economic growth. (c) Cooperations exist widely within various authors, institutions, as well as countries, with academic clusters developed towards the goals of energy transitions, environmental sustainability, city development, etc.

Relatively Inefficient Integration of Metaphorical Semantics in Autistic Adults Without Intellectual Impairment

Individuals diagnosed with autism are often thought to face challenges in comprehensive metaphors, even for the individuals without intellectual impairment. This study is to investigate the features and mechanisms of metaphor integration in the process of metaphor comprehension in real-time and context-free situations in autism, as well as the influence of the mental complexity of metaphor. Twenty autistic adults and twenty typically developing peers carried out a Lexical Decision Task and a Recognition Task. The results of the study showed that, there are deficiencies in real-time metaphor comprehension in autistic adults without intellectual impairment. It may caused by their relatively inefficient integration of metaphor semantics. This mechanism was equally pronounced in the metaphors with different mental complexity.

"I wanna look like the person in that picture": Linking selfies on social media to cosmetic surgery consideration based on the tripartite influence model

Based on the tripartite influence model, the present study linked investment in others' selfies on social media to facial dissatisfaction and cosmetic surgery consideration. We also tested the mediating role of appearance comparisons and general attractiveness internalization in these relationships. Additionally, potential gender differences in the proposed model were examined. A sample of 884 Chinese adolescents (mean age = 16.80 ± 0.92, ranging from 14 to 19 years old) completed self-reported measures of investment in others' selfies, appearance comparisons, general attractiveness internalization, facial dissatisfaction, and cosmetic surgery consideration. Results showed that investment in others' selfies was positively associated with facial dissatisfaction and cosmetic surgery consideration. Path analysis further revealed that investment in others' selfies was associated with appearance comparisons and general attractiveness internalization, which in turn were associated with facial dissatisfaction, and then facial dissatisfaction was related to cosmetic surgery consideration. Additionally, there were indirect associations between investment in others' selfies and cosmetic surgery consideration via general attractiveness internalization and facial dissatisfaction respectively, but not via appearance comparisons. No gender difference was found in the proposed model. Findings of the present study provide preliminary support for the tripartite influence model in the context of investment in others' selfies on social media and cosmetic surgery consideration and enrich the literature on body image and cosmetic surgery in the Chinese context.

Role of financial decentralization on carbon taxation and carbon emission: Way forwards for economic recovery

The study intends to assess the role of financial decentralization on carbon taxation and carbon emission to recommend the way forwards for economic recovery. To estimate the nexus, study applied the cointegration analysis technique, CGE estimation model, long-run analysis using t-CGE model, and robustness analysis technique on Chinese data. Research findings declare that financial decentralization has significant role on extending the carbon taxation in China and financial decentralization supported 14.92% to expand carbon taxation throughout the Chinese industries. In such industries, pollution emission industries are the top of the list including transportation industry and other manufacturing companies. Overall, manufacturing industries size is about 78% and 11% size of transportation industry is included. Correspondingly, the findings also revealed that financial decentralization supports climate change mitigation with 29% and carbon taxation limits carbon emission with 44% in Chinese industries. Study directs to the stakeholders to enhance carbon taxation schemes in all sectors of the all the industries of China and come up with the viable policy action so that the desired sustainable development goals may achieve effectively. Hence, stakeholders need to consider recommendations of preceding research to enhance green economic recovery.

Simulation study on the development decision of new energy manufacturers under the weight of consumption responsibility

In 2019, China proposed the weight of consumption responsibility (WCR) policy for renewable energy. This study first analyzes the interaction between the electricity market and the green certificate market and establishes a two-market equilibrium model with multiple subjects. Secondly, a system dynamics model of the development decision of the new energy manufacturers (NEMs) under the interaction of the two markets is established. Finally, taking Henan province as an example, the development trend of NEMs is simulated, and sensitivity analysis is conducted to explore the key influencing factors for the development of NEMs. The results show that the electricity market and the green certificate market interact with each other mainly through the price of electricity and the price of green certificates, thus evolving the trading behavior of trading subjects. By 2035, for every 0.25% increase in non-hydropower WCR in Henan province, the annual added new energy installation will be around 1200 MW. In the current scenario, the policy of certificate multiplier will be detrimental to the overall development of NEMs, and a conservative investment strategy and accelerated technology improvements are more beneficial to NEMs. Carbon emission peaking and carbon neutrality policies can also accelerate the growth of new energy installations.

Community Participation Among Individuals with Severe Mental Disorders During COVID-19 Pandemic

Utilizing a sample of 286 community-dwelling adults with severe mental disorders (SMDs) in Beijing, this study examined their social and community participation during COVID-19 pandemic. The descriptive results showed that adults with SMDs living in the pandemic Beijing mostly engaged in social activities, followed by productive and leisure/recreational activities. More than two-thirds of the participants indicated that their participation was not sufficient. The multivariate analyses revealed that higher social support and self-esteem predicted more participation days, higher social support and independent usage of Health Kit were linked to more participation items, while higher social support and stronger self-stigma were associated with lower perceived participation sufficiency. Thus, community mental health professionals need to provide more tailored interventions to people with SMDs to enhance their participation performance and perceived participation sufficiency during the pandemic era.

Associations between media use, self-efficacy, and health literacy among Chinese rural and urban elderly: A moderated mediation model

Objectives

The influence of media use on health literacy among urban and rural elderly has been unknown in China. This study aims to examine the association between media use and health literacy and to explore the mediating role of self-efficacy and the moderating role of urban-rural residency.

Methods

Based on the cross-sectional study of the Psychology and Behavior Investigation of Chinese Residents (PBICR) in 2022, a total of 4,070 Chinese old people aged 60 years and above were included. We adopted the simplified New General Self-Efficacy Scale (NGSES) and the simplified Health Literacy Scale-Short Form (HLS-SF) to measure self-efficacy and health literacy. Media use was measured using a self-administrated questionnaire.

Results

Results showed that Chinese urban elderly had a higher frequency of media use than rural ones in the aspects of social activities, self-presentation, social action, leisure and entertainment, information acquisition, and business transactions through media (P &lt; 0.001). Among all participants, self-presentation (B = 0.217, 95% CI: 0.040, 0.394), leisure and entertainment (B = 0.345, 95% CI: 0.189, 0.502), and information acquisition (B = 0.918, 95% CI: 0.761, 1.076) were significantly associated with health literacy. Self-efficacy partially mediated the effect of media use on health literacy (Bindirect = 0.045, 95% CI: 0.032, 0.058), accounting for 18.37% of the total effect. Urban-rural residency (B = 0.049, 95% CI: 0.024, 0.075) moderated the relationship between media use and self-efficacy significantly.

Conclusion

The urban-rural gap in health literacy requires more attention. The promotion of media use and self-efficacy may play a role in eliminating health disparities.

Limitations

As a cross-sectional study, it could not establish cause-effect relationships.

Peer Appearance Teasing and Restrained Eating Among Chinese Adolescent Girls: A Mediation Model of Fear of Negative Appearance Evaluation and Body Surveillance

Restrained eating is becoming widespread recently. The present study aimed to examine whether peer appearance teasing was positively associated with restrained eating among Chinese adolescent girls and whether this association was mediated by fear of negative appearance evaluation (FNAE) and body surveillance. A sample of 720 Chinese adolescent girls completed questionnaires on peer appearance teasing, FNAE, body surveillance, and restrained eating. Peer appearance teasing was significantly and positively related to girls' restrained eating. FNAE mediated the relationship between peer appearance teasing and restrained eating. Furthermore, the association between peer appearance teasing and restrained eating was sequentially mediated by FNAE and body surveillance. The findings of this study provide new insights into the development of restrained eating among adolescent girls, and highlight peer appearance teasing and body surveillance as potential targets for intervention programs regarding body image concerns and eating disorders.

Agency as power: An ecological exploration of an emerging language teacher leaders’ emotional changes in an educational reform

Teacher emotion, an important aspect of language teacher psychology (LTP), has recently drawn growing attention in language teacher development studies. Previous research has shown that language teachers, typically pressured by heavy workloads, may face emotional challenges from multiplied sources, especially in the context of educational changes such as curriculum reform and the COVID-19 emergency. Current literature on teachers’ emotions largely centers around ordinary language teachers, with teacher leaders whose agentic actions often exert greater influence on the effectiveness of educational changes rarely examined. Situated in a top-tier research university that has been promoting an English for Academic Purposes reform to enhance its science students’ multilingual competence in academic contexts, this longitudinal case study tracked the emotional trajectory of an English teacher, Lea, for 5 years. Adopting an ecological perspective, our study confirms that language teachers’ emotions vary across the reform ecosystems and extends the current inquiry by conceptualizing the intricately interrelated teacher emotion, agency, power, and identity as dynamic constructs. This study also reveals how the reform-inflected emotional changes were associated with Lea’s EAP teacher and teacher leader identity construction, with both identities reinforcing each other, which to some extent reconciled Lea’s emotional tensions. Our study bears significant implications for language teachers involved in educational reform, teacher leaders, and school administrators.

Access to family resources by families living with schizophrenia: a qualitative study of primary care workers in urban Beijing, China

OBJECTIVES

This study aims to investigate the access to family resources by families living with schizophrenia from the perspective of primary care workers in Beijing, and provide evidence for appropriate and effective family resource coordination in primary care.

DESIGN

Qualitative research using individual in-depth interviews to identify the access to family resources by families living with schizophrenia from the perspective of primary care workers.

SETTING

This study was conducted from September to December 2021 in six urban community health service centres (CHSCs) in Beijing, China.

PARTICIPANTS

3 general practitioners and 10 mental health doctors selected by purposive sampling method from 6 CHSCs in urban Beijing were interviewed.

RESULTS

Five themes emerged from the insights of the primary care workers: most family resources are non-targeted for families living with schizophrenia, the publicity of family resources is difficult, burdensome application process of family resources, limited available community-based treatment options and stigma hindering effective communication between families and society.

CONCLUSIONS

It is necessary to simplify the application process of family resources and provide primary care workers with systematic training regarding family resources. More family resources and improved public attitudes should be promoted for patients with schizophrenia and their caregivers.

Roles and Challenges for Village Doctors in COVID-19 Pandemic Prevention and Control in Rural Beijing, China: A Qualitative Study

Objectives

Rural areas in China are more vulnerable to COVID-19 pandemic than urban areas, due to their far fewer health care resources. Village doctors, as rural grassroots health workers in China, have been actively engaged in the pandemic prevention and control. This study aims to describe the roles of village doctors in rural China, and the challenges they have faced during the prevention and control of the COVID-19 pandemic.

Setting

This study was conducted in three towns in Huairou District, Beijing, China.

Design

We carried out semi-structured interviews with 75 key informants. All the interviews were audio-recorded and transcribed verbatim. We employed thematic analysis to define themes and sub-themes from the qualitative data.

Results

We reported four themes. First, the village doctor guided the village committee to carry out decontamination, monitored home-isolated residents, and disseminated knowledge on prevention of the COVID-19 pandemic during the rural pandemic prevention and control. Second, they took pandemic prevention measures in village clinics, distributed pandemic prevention materials, and undertook pre-screening triage. Third, village doctors provided basic medical care, including treatment of common diseases as well as the purchase and delivery of medicines to villagers. Fourth, village doctors faced difficulties and challenges, such as inadequate medical skills, aging staff structure, and lack of pandemic prevention materials.

Conclusions

Despite many difficulties and challenges, village doctors have actively participated in rural pandemic prevention and control, and made outstanding contributions to curbing spread of COVID-19 pandemic in rural areas. Village doctors provide basic health care while participating in various non-medical tasks.

The Impact of Digital Economy on the Economic Growth and the Development Strategies in the post-COVID-19 Era: Evidence From Countries Along the "Belt and Road"

The digital economy is considered as an effective measure to mitigate the negative economic impact of the Corona Virus Disease 2019 (COVID-19) epidemic. However, few studies evaluated the role of digital economy on the economic growth of countries along the "Belt and Road" and the impact of COVID-19 on their digital industries. This study constructed a comprehensive evaluation index system and applied a panel data regression model to empirically analyze the impact of digital economy on the economic growth of countries along the "Belt and Road" before COVID-19. Then, a Global Trade Analysis Project (GTAP) model was used to examine the impact of COVID-19 on their digital industries and trade pattern. Our results show that although there is an obvious regional imbalance in the digital economy development in countries along the "Belt and Road", the digital economy has a significantly positive effect on their economic growth. The main impact mechanism is through promoting industrial structure upgrading, the total employment and restructuring of employment. Furthermore, COVID-19 has generally boosted the demand for the digital industries, and the impact from the demand side is much larger than that from the supply side. Specifically, the digital industries in Armenia, Israel, Latvia and Estonia have shown great growth potential during the epidemic. On the contrast, COVID-19 has brought adverse impacts to the digital industries in Ukraine, Egypt, Turkey, and the Philippines. The development strategies are proposed to bridge the "digital divide" of countries along the "Belt and Road," and to strengthen the driving effect of the digital economy on industrial upgrading, employment and trade in the post-COVID-19 era.

Measurement and simulation of the relatively competitive advantages and weaknesses between economies based on bipartite graph theory

The input-output table is very comprehensive and detailed in describing the national economic systems with abundant economic relationships, which contain supply and demand information among various industrial sectors. The complex network, a theory, and method for measuring the structure of a complex system can depict the structural characteristics of the internal structure of the researched object by measuring the structural indicators of the social and economic systems, revealing the complex relationships between the inner hierarchies and the external economic functions. In this paper, functions of industrial sectors on the global value chain are to be distinguished with bipartite graph theory, and inter-sector competitive relationships are to be extracted through resource allocation process. Furthermore, quantitative analysis indices will be proposed under the perspective of a complex network, which will be used to bring about simulations on the variation tendencies of economies’ status in different situations of commercial intercourses. Finally, a new econophysics analytical framework of international trade is to be established.