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Perceived intergenerational mobility profoundly influences individual attitudes and behaviour, carrying important implications for social stability and development. How do Chinese citizens perceive the intergenerational persistence of family advantages, and how do these perceptions compare with reality? This study conducts multiple randomized vignette experiments across two online surveys to assess public perceptions of correlations between various socio-economic indicators of parents and their children. Respondents estimate moderate to moderately strong correlations across generations. By leveraging the comparability of perceptions and objective estimates made possible by our novel measurement instrument, we find that respondents often overestimate the likelihood of equal opportunities for children from families with differing educational backgrounds. Alongside these largely optimistic perceptions, we also uncover signs of emerging pessimism. These results offer a nuanced snapshot of perceived social mobility in China, highlighting its multidimensional manifestations and divergence from reality, while also providing methodological insights for future research on its evolving dynamics.
This paper provides an overview of the current status of ultrafast and ultra-intense lasers with peak powers exceeding 100 TW and examines the research activities in high-energy-density physics within China. Currently, 10 high-intensity lasers with powers over 100 TW are operational, and about 10 additional lasers are being constructed at various institutes and universities. These facilities operate either independently or are combined with one another, thereby offering substantial support for both Chinese and international research and development efforts in high-energy-density physics.
The study aimed to determine the patterns of the vestibular and ocular motor findings in cerebellar infarction (CI).
Methods:
We retrospectively analyzed vestibular and ocular motor test results in 23 CI patients and 32 acute unilateral vestibulopathy (AUVP) patients.
Results:
Among CI cases, the posterior inferior cerebellar artery (PICA) was the most commonly affected territory. Vertigo is predominantly observed in patients with infarctions affecting PICA or anterior inferior cerebellar artery (AICA). Lesions involving the superior cerebellar artery (SCA) mainly result in dizziness. Saccadic intrusion and oscillation, abnormal bilateral smooth pursuit (SP) and abnormal saccades were more prevalent in the CI group than in the AUVP group (all p < 0.05). Horizontal saccades were abnormal in 11 patients (47.8%) with CI. All AUVP patients had normal horizontal saccades. Horizontal SP was impaired in 13 patients (56.5%) with CI, with decreased gain toward both sides in 10 and toward 1 side in 3. Impaired horizontal SP was noted in nine patients (28.1%) with AUVP, with decreased gain toward the contralesional side in all cases. A total of 26.3% (5/19) of patients with CI exhibited subjective visual vertical (SVV) deviation toward the affected side and 31.6% (6/19) toward the unaffected side. In patients with AUVP, 70.0% (21/30) showed SVV deviation toward the affected side.
Conclusions:
Vertigo is mainly seen in PICA or AICA infarctions. SCA lesions mostly cause dizziness. Saccadic intrusion and oscillation, abnormal bilateral SP and abnormal saccades contribute to the diagnosis of CI. Moreover, SVV deviation varies depending on the cerebellar structures involved.
The effect of the polarizations of two counter-propagating relativistic laser pulses interacting with subwavelength thin solid-density foil is investigated. Three-dimensional particle-in-cell simulations and analytical modelling show that the interaction and resulting transverse instability depend strongly on the polarization directions as well as the intensity distribution of the resultant light field in the foil. The left- and right-handed circularly polarized laser pair with the same phase at the common focal spot in the ultrathin foil leads to the strongest distortion of the foil. The fastest growing mode and maximum growth rate depend mainly on the laser intensity. For all polarization and phase-difference combinations, the instability is weakest when the two laser pulses are exactly out of phase at the common focusing point in the foil.
This study employs direct numerical simulations to examine the effects of varying backpressure conditions on the turbulent atomisation of impinging liquid jets. Using the incompressible Navier–Stokes equations, and a volume-of-fluid approach enhanced by adaptive mesh refinement and an isoface-based interface reconstruction algorithm, we analyse spray characteristics in the environments with ambient gas densities ranging from 1 to 40 times the atmospheric pressure under five different backpressure scenarios. We investigate the behaviour of turbulent jets, incorporate realistic orifice geometries and identify significant variations in the atomisation patterns depending on backpressure. Two distinct atomisation types emerge, namely jet-sheet-ligament-droplet at lower backpressures and jet-sheet-fragment-droplet at higher ones, alongside a transition from dilute to dense spray patterns. This variation affects the droplet size distribution and spray dynamics, with increased backpressure reducing the spray's spreading angle and breakup length, while increasing the droplet size variation. Furthermore, these conditions promote distributions that induce rapid, nonlinear wavy motion in liquid sheets. Topological analysis of the atomisation field using velocity-gradient tensor invariants reveals significant variations in topology volume fractions across different regions. Downstream, the droplet Sauter mean diameter increases and then stabilises, reflecting the continuous breakup and coalescence processes, notably under higher backpressures. This research underscores the substantial impact of backpressure on impinging-jet atomisation and provides essential insights for nozzle design to optimise droplet distributions.
The growing concern over cyber risk has become a pivotal issue in the business world. Firms can mitigate this risk through two primary strategies: investing in cybersecurity practices and purchasing cyber insurance. Cybersecurity investments reduce the compromise probability, while cyber insurance transfers potential losses to insurers. This study employs a network model for the spread of infection among interconnected firms and investigates how each firm’s decisions impact each other. We analyze a non-cooperative game in which each firm aims to optimize its objective function through choices of cybersecurity level and insurance coverage ratio. We find that each firm’s cybersecurity investment and insurance purchase are strategic complements. Within this game, we derive sufficient conditions for the existence and uniqueness of Nash equilibrium and demonstrate its inefficiency. These theoretical results form the foundation for our numerical studies, allowing us compute firms’ equilibrium decisions on cybersecurity investments and insurance purchases across various network structures. The numerical results shed light on the impact of network structure on equilibrium decisions and explore how varying insurance premiums influence firms’ cybersecurity investments.
The flexible delivery of single-frequency lasers is far more challenging than that of conventional lasers due to the onset of stimulated Brillouin scattering (SBS). Here we present the successful delivery of 100 W single-frequency laser power through 100 m of anti-resonant hollow-core fiber (AR-HCF) in an all-fiber configuration, with the absence of SBS. By employing a custom-designed AR-HCF with a mode-field diameter matching that of a large-mode-area panda fiber, the system achieves high coupling efficiency without the need for free-space components or fiber post-processing. The AR-HCF attains a transmission efficiency of 92%, delivering an output power of 100.3 W with a beam quality factor (M2) of 1.22. The absence of SBS is confirmed through monitoring backward light, which shows no increase in intensity. This all-fiber architecture ensures high stability, compactness and efficiency, potentially expanding the application scope of single-frequency lasers in high-precision metrology, optical communication, light detection and ranging systems, gravitational wave detection and other advanced applications.
Despite growing awareness of the mental health damage caused by air pollution, the epidemiologic evidence on impact of air pollutants on major mental disorders (MDs) remains limited. We aim to explore the impact of various air pollutants on the risk of major MD.
Methods
This prospective study analyzed data from 170 369 participants without depression, anxiety, bipolar disorder, and schizophrenia at baseline. The concentrations of particulate matter with aerodynamic diameter ≤ 2.5 μm (PM2.5), particulate matter with aerodynamic diameter > 2.5 μm, and ≤ 10 μm (PM2.5–10), nitrogen dioxide (NO2), and nitric oxide (NO) were estimated using land-use regression models. The association between air pollutants and incident MD was investigated by Cox proportional hazard model.
Results
During a median follow-up of 10.6 years, 9 004 participants developed MD. Exposure to air pollution in the highest quartile significantly increased the risk of MD compared with the lowest quartile: PM2.5 (hazard ratio [HR]: 1.16, 95% CI: 1.09–1.23), NO2 (HR: 1.12, 95% CI: 1.05–1.19), and NO (HR: 1.10, 95% CI: 1.03–1.17). Subgroup analysis showed that participants with lower income were more likely to experience MD when exposed to air pollution. We also observed joint effects of socioeconomic status or genetic risk with air pollution on the MD risk. For instance, the HR of individuals with the highest genetic risk and highest quartiles of PM2.5 was 1.63 (95% CI: 1.46–1.81) compared to those with the lowest genetic risk and lowest quartiles of PM2.5.
Conclusions
Our findings highlight the importance of air pollution control in alleviating the burden of MD.
Web3 is a new frontier of internet architecture emphasizing decentralization and user control. This text for MBA students and industry professionals explores key Web3 concepts, starting from foundational principles and moving to advanced topics like blockchain, smart contracts, tokenomics, and DeFi. The book takes a clear, practical approach to demystify the tech behind NFTs and DAOs as well as the complex regulatory landscape. It confronts challenges of blockchain scalability, a barrier to mainstream adoption of this transformative technology, and examines smart contracts and the growing ecosystem leveraging their potential. The book also explains the nuances of tokenomics, a vital element underpinning Web3's new economic model. This book is ideal for readers seeking to stay on top of emerging trends in the digital economy.
Chapter 7 highlights key concepts in Decentralized Finance (DeFi) and compares it to traditional finance. It discusses major DeFi applications such as decentralized exchanges, lending/borrowing platforms, derivatives, prediction markets, and stablecoins. DeFi offers advantages, including open access, transparency, programmability, and composability. It enables peer-to-peer financial transactions without intermediaries, unlocking financial inclusion, efficiency gains, and innovation. However, risks such as smart contract vulnerabilities, price volatility, regulatory uncertainty, and lack of accountability persist. As DeFi matures, enhanced governance, security audits, regulation, and insurance will be vital to address these challenges. DeFi is poised to reshape finance if balanced with prudence. Important metrics to track growth include total value locked, trading volumes, active users, and loans outstanding. Research tools such as Dune Analytics, DeFi Llama, and DeFi Pulse provide data-driven insights. Overall, DeFi represents a profoundly transformative blockchain application, but responsible evolution is key. The chapter compares DeFi to traditional finance and analyzes major applications, benefits, risks, and metrics in this emerging field.
Chapter 1 provides an overview of the concepts and definitions inherent to Web3. It presents a deep exploration into the phenomenon of "Convergence of Convergence," a term coined to denote the convergence of various dimensions within Web3, such as technology, data, user interactions, business models, identity, and organizational structures. The chapter also offers a comparative study of Web3 from different perspectives – tracing its evolution in the Internet era, analyzing its implications for user experience, evaluating its regulatory aspects, and understanding its scalability. Each of these aspects is explored in a detailed, standalone section, allowing readers to comprehend the multifaceted nature of Web3. The overarching aim of this chapter is to foster a comprehensive understanding of Web3, delineating its significance as a major shift in the Internet paradigm and its potential for creating more decentralized, user-empowered digital ecosystems.
Chapter 11 envisions the future potential of Web3 technologies in reshaping the web. It covers key areas such as generative AI, DeFi, mobile apps, cloud infrastructure, and the Metaverse. In DeFi, the focus is on scalability, interoperability, regenerative finance, decentralized identity, and its integration with social networks. The convergence of generative AI and Web3 is examined through case studies and applications, while mobile apps are explored as nodes for consensus algorithms, providing decentralized and secure networks. The impact of Web3 on cloud infrastructure includes decentralized storage, blockchain-based authentication and authorization, decentralized computing resources, and token-based incentives. Lastly, the chapter delves into the Metaverse, discussing decentralized ownership, token economies, identity and privacy considerations, interoperability, and decentralized governance. Through these explorations, the chapter highlights the transformative potential of Web3 in fostering decentralization, inclusivity, and innovation in the digital era.