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Drawing on unbalanced panel data with a maximum of 271,656 bilateral trade flow observations from 1996 to 2021, this study investigates both the linear and nonlinear influence of national Environmental, Social, and Governance (ESG) performance gaps on green exports. When the ESG performance of the exporting country exceeds that of the destination country, the results indicate that an increase in the ESG gap significantly stimulates green exports, and there is evidence that this stimulating effect is achieved by widening green innovation gaps. However, the marginal effect diminishes as environmental regulations in the destination country become more stringent. Conversely, when the exporting country’s ESG performance is lower, narrowing the ESG gap leads to an N-shaped relationship with green exports, which remains U-shaped after removing the extremes. This research provides empirical evidence and policy implications for the trade effects of ESG performance from a macro perspective, while supporting the rationality and necessity of the ESG concept.
Schizophrenia progresses through high-risk, first-episode, and chronic stages, each associated with altered spontaneous brain activity. Resting state functional MRI studies highlight these changes, but inconsistencies persist, and the genetic basis remains unclear.
Methods
A neuroimaging meta-analysis was conducted to assess spontaneous brain activity alterations in each schizophrenia stage. The largest available genome-wide association study (GWAS) summary statistics for schizophrenia (N = 53,386 cases, 77,258 controls) were used, followed by Hi-C-coupled multimarker analysis of genomic annotation (H-MAGMA) to identify schizophrenia-associated genes. Transcriptome-neuroimaging association and gene prioritization analyses were performed to identify genes consistently linked to brain activity alterations. Biological relevance was explored by functional enrichment.
Results
Fifty-two studies met the inclusion criteria, covering the high-risk (Nhigh-risk = 409, Ncontrol = 475), first-episode (Ncase = 1842, Ncontrol = 1735), and chronic (Ncase = 1242, Ncontrol = 1300) stages. High-risk stage showed reduced brain activity in the right median cingulate and paracingulate gyri. First-episode stage revealed increased activity in the right putamen and decreased activity in the left gyrus rectus and right postcentral gyrus. Chronic stage showed heightened activity in the right inferior frontal gyrus and reduced activity in the superior occipital gyrus and right postcentral gyrus. Across all stages, 199 genes were consistently linked to brain activity changes, involved in biological processes such as nervous system development, synaptic transmission, and synaptic plasticity.
Conclusions
Brain activity alterations across schizophrenia stages and genes consistently associated with these changes highlight their potential as universal biomarkers and therapeutic targets for schizophrenia.
Remote injury assessment during natural disasters poses major challenges for healthcare providers due to the inaccessibility of disaster sites. This study aimed to explore the feasibility of using artificial intelligence (AI) techniques for rapid assessment of traumatic injuries based on gait analysis.
Methods
We conducted an AI-based investigation using a dataset of 4500 gait images across 3 species: humans, dogs, and rabbits. Each image was categorized as either normal or limping. A deep learning model, YOLOv5—a state-of-the-art object detection algorithm—was trained to identify and classify limping gait patterns from normal ones. Model performance was evaluated through repeated experiments and statistical validation.
Results
The YOLOv5 model demonstrated high accuracy in distinguishing between normal and limp gaits across species. Quantitative performance metrics confirmed the model’s reliability, and qualitative case studies highlighted its potential application in remote, fast traumatic assessment scenarios.
Conclusions
The use of AI, particularly deep convolutional neural networks like YOLOv5, shows promise in enabling fast, remote traumatic injury assessment during disaster response. This approach could assist healthcare professionals in identifying injury risks when physical access to patients is restricted, thereby improving triage efficiency and early intervention.
US–Chinese strategic competition is a defining factor in world politics. The prevailing narrative on US–China relations predicts inevitable conflicts between these two giants, potentially leading to a self-fulfilling prophecy. While fully acknowledging the inherent dangers of potential wars or military conflicts between the two powers, this book shows that competition is not necessarily detrimental. By systematically examining US–China institutional balancing across security, economic and political domains, particularly in the aftermath of the 2008 global financial crisis, this book highlights three positive externalities or unintended consequences: the revitalisation of regional institutions to address emerging challenges, unexpected collaborations between great powers (the US and China) and regional actors, and the provision of public goods by both nations. The book argues that constructive and institutionalised competition between the US and China, if managed with strategic foresight and restraint, could inadvertently lead to positive outcomes – institutional peace – in the Asia-Pacific region.
An actively controllable cascaded proton acceleration driven by a separate 0.8 picosecond (ps) laser is demonstrated in proof-of-principle experiments. MeV protons, initially driven by a femtosecond laser, are further accelerated and focused into a dot structure by an electromagnetic pulse (EMP) on the solenoid, which can be tuned into a ring structure by increasing the ps laser energy. An electrodynamics model is carried out to explain the experimental results and show that the dot-structured proton beam is formed when the outer part of the incident proton beam is optimally focused by the EMP force on the solenoid; otherwise, it is overfocused into a ring structure by a larger EMP. Such a separately controlled mechanism allows precise tuning of the proton beam structures for various applications, such as edge-enhanced proton radiography, proton therapy and pre-injection in traditional accelerators.
This chapter provides a detailed discussion of our “institutional peace” argument. Specifically, we propose that during the period of international order transition, the United States and China have employed a range of institutional balancing strategies that encompass both inclusive and exclusive approaches. These strategies are aimed at competing for leadership roles and the privilege to shape rules within and beyond the realms of international institutions. We underscore the significance of three positive externalities resulting from institutional balancing: the revitalization of institutions, the encouragement of regional cooperation, and competition in providing public goods. These externalities can contribute to a more peaceful transition within the international system, provided that the US and China engage in responsible competition under three crucial conditions: the maintenance of sustained nuclear deterrence, the continuation of deep economic interdependence, and the mitigation of ideological antagonism.
This chapter offers a summary of our research findings on the upside of the US-China competition within the security, economic, and political suborders in the Asia Pacific region. In addition, we emphasize two primary challenges to achieving institutional peace in the region: the escalating power rivalry between the US and China, which can lead to proxy wars/conflicts, and the inclination toward irrational and risk-taking decisions by leaders in both nations, often influenced by domestic politics. While it remains the responsibility of the United States and China to prudently manage their strategic competition, we contend that the involvement of secondary states within the region can play a crucial and independent role in mitigating tensions between these two superpowers over critical issues, such as the Taiwan issue and the South China Sea disputes. Their active engagement is indispensable for fostering institutional peace within the Asia-Pacific.
By unpacking the two pillars of international order – the power pillar and the institutional pillar – this chapter examines why Graham Allison’s “Thucydides Trap” argument is misleading in analyzing international order transition. We argue that a mere power shift between the United States and China does not necessarily indicate an order transition; fundamental changes in both the power and institutional pillars are necessary conditions for the international order transition. While the principle of mutually assured destruction (MAD) prevents direct military conflicts between the US and China, it is undeniable that intense strategic competition has become an inescapable reality between the two nations. Subsequently, we outline the two research questions guiding this project: (1) How do the United States and China compete with one another through international institutions? and (2) What are the implications of their institutional balancing for the ongoing process and outcome of international order transition?
This chapter focuses on US-China institutional balancing within the political suborder, with a specific focus on the intricacies of the strategies employed by both nations within the framework of global human rights regimes in the United Nations (UN) system. This ideological competition becomes evident in the battle for influence in various UN human rights regimes, where both the United States and China have actively attempted to shape the discourse and policies related to human rights, democracy, and governance in alignment with their respective visions. As states grapple with these contrasting visions and carve their unique paths, a more diverse tapestry of political ideologies, governance models, and regional cooperation initiatives has emerged. This dynamic reflects the unintended positive consequences resulting from the institutional competition between the United States and China, ultimately nurturing a more complex and adaptable political landscape in the region.
This chapter conducts an in-depth examination of the US-China institutional competition within the security suborder in the Asia-Pacific region. It offers a comprehensive analysis of two distinct rounds of institutional balancing between the United States and China, which involve key forums like the ASEAN Regional Forum (ARF), Shangri-La Dialogue (SLD), Conference on Interaction and Confidence-Building Measures in Asia (CICA), Shanghai Cooperation Organization (SCO), Quadrilateral Security Dialogue (Quad), and ASEAN Defense Ministerial Meeting (ADMM)-Plus, spanning the post-Cold War era. Our argument suggests that this robust rivalry in institutional balancing between the United States and China has given rise to a dynamic security architecture within the Asia-Pacific region. Within this framework, bilateralism, minilateralism, and multilateralism coexist and intersect, resulting in a complex and nuanced security architecture.
Chapter 4 shifts its focus to the US-China institutional balancing within the economic domain and its consequences for the transformation of the economic suborder. It systematically examines the institutional balancing efforts between these two nations through the Asian Infrastructure Investment Bank (AIIB), Belt and Road Initiative (BRI), Regional Comprehensive Economic Partnership (RCEP), Trans-Pacific Partnership (TPP), and Indo-Pacific Economic Framework (IPEF). The unintended consequences stemming from this institutional balancing between the United States and China within the economic sphere signal the emergence of a multifaceted network of economic institutions and initiatives that transcends the conventional “noodle-bowl” model, characterized by interwoven free trade agreements.
The greatest challenge in pressure reconstruction from the measured velocity fields is that the error of material acceleration is significantly contaminated due to error propagation. Particularly for flows with moving boundaries, accurate boundary velocities are difficult to obtain due to error propagation, and a complex boundary processing technique is needed to treat the moving boundaries. The present work proposes a machine-learning-based method to determine the pressure for incompressible flows with moving boundaries. The proposed network consists of two neural networks: one network, named the boundary network, is used to track the Lagrangian boundary points; the other physics-informed neural network, named the flow network, is adopted to approximate the flow fields. These two networks are coupled by imposing boundary conditions. We further propose a new dynamic weight strategy for the loss terms to guarantee convergence and stability. The performance of the proposed method is validated by two examples: the flow over an oscillating cylinder and the flow around a swimming fish. The proposed method can accurately determine the pressure fields and boundary motion from synthetic particle image velocimetry (PIV) flow fields. Moreover, this method can also predict the boundary and pressure at a given instant without supervised data. Finally, this method was applied to reconstruct the pressure from the two-dimensional and three-dimensional PIV velocities of the left ventricle. All of the results indicate that the proposed method can accurately reconstruct the pressure fields for flows with moving boundaries and is a novel method for surface pressure estimation.
The sulphur microbial diet (SMD), a dietary pattern associated with forty-three sulphur-metabolising bacteria, may influence gut microbiota composition and contribute to ageing process through gut-produced hydrogen sulfide (H2S). We aimed to explore the association between SMD and biological age (BA) acceleration, using the cross-sectional study that included 71 579 individuals from the UK Biobank. The SMD score was calculated by multiplying β-coefficients by corresponding serving sizes and summing them, based on dietary data collected using the Oxford WebQ, a 24-hour dietary assessment tool. BA was assessed using Klemerae–Doubal (KDM) and PhenoAge methods. The difference between BA and chronological age refers to the age acceleration (AgeAccel), termed ‘KDMAccel’ and ‘PhenoAgeAccel’. Generalised linear regression was performed. Mediation analyses were used to investigate underlying mediators including BMI and serum aspartate aminotransferase/alanine aminotransferase (AST/ALT) ratio. Following adjustment for multiple variables, a positive association was observed between consuming a dietary pattern with a higher SMD score and both KDMAccel (βQ4 v. Q1 = 0·35, 95 % CI = 0·27, 0·44, P < 0·001) and PhenoAgeAccel (βQ4 v. Q1 = 0·32, 95 % CI = 0·23, 0·41, P < 0·001). Each 1-SD increase in SMD score was positively associated with the acceleration of BA by 7·90 % for KDMAccel (P < 0·001) and 7·80 % for PhenoAgeAccel (P < 0·001). BMI and AST/ALT mediated the association. The stratified analysis revealed stronger accelerated ageing impacts in males and smokers. Our study indicated a higher SMD score is associated with elevated markers of biological ageing, supporting the potential utility of gut microbiota-targeted dietary interventions in attenuating the ageing process.