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Miracle tales are almost the sole source for the investigation of the emergence and spread of the relic cult in the early phase of Chinese Buddhism. The earliest excavated relic casket dates back to 453 CE, over four centuries after Buddhism was introduced to China. Through a critical textual analysis of Ji Shenzhou Sanbao Gantonglu, it is evident that the initial form of relic veneration was based on miraculous responses. Legends about imperial relic worship before the 3rd century are all later fabrications. Two archeological finds—the alleged relic murals in a Han tomb at Horinger, Inner Mongolia, and the stūpa-shaped bronze vessel in Gongyi, Henan—are not directly related to relic veneration. Based on the available evidence, it is tentatively concluded that relic worship first emerged around the 3rd century in the vicinity of Luoyang, the capital of the Western Jin, and later spread to the south of the Yangtze River after the Yongjia chaos. The early worshippers included both monks and lay Buddhists, such as merchants and lower-ranking officials. Royal interest in relics did not arise until the 5th century. The rise of relic veneration in China occured two or three centuries later than that in Gandhāra, from which Chinese Buddhism was significantly influenced. Compared to the cult of images or scriptures, relic veneration also emerged relatively late in China. The reluctance to adopt relics as worship objects can be partly explained by (the mahāyāna) Buddhist doctrines and the Chinese cultural mentality.

For a klt singularity, C. Xu and Z. Zhuang [33] proved the associated graded algebra of a minimizing valuation of the normalized volume function is finitely generated, finishing the proof of the stable degeneration conjecture proposed by C. Li and C. Xu. We prove a family version of the stable degeneration: for a locally stable family of klt singularities with constant local volume, the ideal sequences of the minimizing valuations for the normalized volume function form families of ideals with flat cosupport, which induce a degeneration to a locally stable family of K-semistable log Fano cone singularities. In the proof, we give a method to construct families of Kollár models, which are a crucial tool introduced by Xu–Zhuang to prove finite generation for valuations of higher rational rank.

Polycomb repressive complexes 1 and 2 (PRC1/2) maintain transcriptional silencing of developmental genes largely by catalyzing the formation of mono-ubiquitinated histone H2A at lysine 119 (H2AK119ub1) and trimethylated histone H3 at lysine 27 (H3K27me3), respectively. How Polycomb domains are reprogrammed during mammalian preimplantation development remains largely unclear. Here we show that, although H2AK119ub1 and H3K27me3 are highly colocalized in gametes, they undergo differential reprogramming dynamics following fertilization. H3K27me3 maintains thousands of maternally biased domains until the blastocyst stage, whereas maternally biased H2AK119ub1 distribution in zygotes is largely equalized at the two-cell stage. Notably, while maternal PRC2 depletion has a limited effect on global H2AK119ub1 in early embryos, it disrupts allelic H2AK119ub1 at H3K27me3 imprinting loci including Xist . By contrast, acute H2AK119ub1 depletion in zygotes does not affect H3K27me3 imprinting maintenance, at least by the four-cell stage. Importantly, loss of H2AK119ub1, but not H3K27me3, causes premature activation of developmental genes during zygotic genome activation (ZGA) and subsequent embryonic arrest. Thus, our study reveals distinct dynamics and functions of H3K27me3 and H2AK119ub1 in mouse preimplantation embryos. H2AK119ub1 and H3K27me3 have different genome-wide dynamics in mouse preimplantation embryos. Loss of H2AK119ub1, but not H3K27me3, causes premature activation of developmental genes during zygotic genome activation.

The advancement of autonomous driving hinges on integrated perception systems combining LiDAR, millimeter-wave radar, and ultrasonic radar. LiDAR employs laser scanning (e.g., 905 nm or 1550 nm wavelengths) to achieve centimeter-level 3D environmental mapping, critical for real-time obstacle detection. Millimeter-wave radar (24–77 GHz) provides robust long-range detection (up to 300 meters) and dynamic tracking in adverse weather, while ultrasonic radar enables cost-effective short-range sensing (0.2–5 meters) for parking and low-speed scenarios. Despite their synergy, challenges persist: LiDAR’s susceptibility to weather interference and high costs, millimeter-wave radar’s limited angular resolution, and ultrasonic radar’s range constraints. Additionally, multimodal data fusion (e.g., LiDAR point clouds and radar signals) faces synchronization latency, calibration complexity, and computational demands. Recent innovations include solid-state LiDAR for compact designs, high-frequency millimeter-wave radar (79 GHz) to enhance resolution, and ultrasonic arrays for expanded coverage. Future progress will prioritize AI-driven solutions—such as deep learning for real-time point cloud segmentation and probabilistic classification—alongside vehicle-to-infrastructure (V2X) collaboration. These strategies aim to optimize sensor synergy, reduce costs, and improve reliability, accelerating the commercialization of SAE Level 4/5 autonomous vehicles and enabling intelligent transportation networks focused on safety and scalability.

Autonomous agents have long been a research focus in academic and industry communities. Previous research often focuses on training agents with limited knowledge within isolated environments, which diverges significantly from human learning processes, and makes the agents hard to achieve human-like decisions. Recently, through the acquisition of vast amounts of Web knowledge, large language models (LLMs) have shown potential in human-level intelligence, leading to a surge in research on LLM-based autonomous agents. In this paper, we present a comprehensive survey of these studies, delivering a systematic review of LLM-based autonomous agents from a holistic perspective. We first discuss the construction of LLM-based autonomous agents, proposing a unified framework that encompasses much of previous work. Then, we present a overview of the diverse applications of LLM-based autonomous agents in social science, natural science, and engineering. Finally, we delve into the evaluation strategies commonly used for LLM-based autonomous agents. Based on the previous studies, we also present several challenges and future directions in this field.

Having adopted a dynamic zero-COVID strategy to respond to SARS-CoV-2 variants with higher transmissibility since August 2021, China is now considering whether, and for how long, this policy can remain in place. The debate has thus shifted towards the identification of mitigation strategies for minimizing disruption to the healthcare system in the case of a nationwide epidemic. To this aim, we developed an age-structured stochastic compartmental susceptible-latent-infectious-removed-susceptible model of SARS-CoV-2 transmission calibrated on the initial growth phase for the 2022 Omicron outbreak in Shanghai, to project COVID-19 burden (that is, number of cases, patients requiring hospitalization and intensive care, and deaths) under hypothetical mitigation scenarios. The model also considers age-specific vaccine coverage data, vaccine efficacy against different clinical endpoints, waning of immunity, different antiviral therapies and nonpharmaceutical interventions. We find that the level of immunity induced by the March 2022 vaccination campaign would be insufficient to prevent an Omicron wave that would result in exceeding critical care capacity with a projected intensive care unit peak demand of 15.6 times the existing capacity and causing approximately 1.55 million deaths. However, we also estimate that protecting vulnerable individuals by ensuring accessibility to vaccines and antiviral therapies, and maintaining implementation of nonpharmaceutical interventions could be sufficient to prevent overwhelming the healthcare system, suggesting that these factors should be points of emphasis in future mitigation policies. Estimates from a new modeling study suggest that current levels of vaccine coverage in China are insufficient to prevent overwhelming the healthcare system, and that, if left untreated, a nationwide Omicron wave could result in up to 1.55 million deaths.

Genomic surveillance has shaped our understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants. We performed a global landscape analysis on SARS-CoV-2 genomic surveillance and genomic data using a collection of country-specific data. Here, we characterize increasing circulation of the Alpha variant in early 2021, subsequently replaced by the Delta variant around May 2021. SARS-CoV-2 genomic surveillance and sequencing availability varied markedly across countries, with 45 countries performing a high level of routine genomic surveillance and 96 countries with a high availability of SARS-CoV-2 sequencing. We also observed a marked heterogeneity of sequencing percentage, sequencing technologies, turnaround time and completeness of released metadata across regions and income groups. A total of 37% of countries with explicit reporting on variants shared less than half of their sequences of variants of concern (VOCs) in public repositories. Our findings indicate an urgent need to increase timely and full sharing of sequences, the standardization of metadata files and support for countries with limited sequencing and bioinformatics capacity. Analyses on the global diversity of SARS-CoV-2 genomic surveillance across 118 countries and the extent of public availability of genomic data provide evidence to better inform SARS-CoV-2 surveillance policy.

From the viewpoint of synthetic accessibility and functional group compatibility, photoredox-catalyzed sulfur dioxide insertion strategy enables in situ generation of functionalized sulfonyl radicals from easily accessible starting materials under mild conditions, thereby conferring broader application potential. Here we present two complementary photoinduced sulfur dioxide insertion systems to trigger radical asymmetric Truce–Smiles rearrangements for preparing a variety of chiral sulfones that bear a quaternary carbon stereocenter. This protocol features broad substrate scope and excellent stereospecificity. Aside from scalability, the introduction of a quaternary carbon stereocenter at position β to bioactive molecule-derived sulfones further demonstrates the practicality and potential of this methodology. The preparation of chiral sulfones featuring quaternary carbon stereocenters remains challenging. Here the authors report the synthesis of such compounds via a multicomponent reaction involving a photoinduced radical sulfur dioxide insertion followed by an asymmetric Truce–Smiles rearrangement.

A project owner (principal) delegates a project to a contractor (agent). Because the contractor has construction experience, he has private information about the project’s expected completion time. Besides, the contractor can exert an unobservable effort to shorten the completion time. Under an asymmetric information setting, we provide the optimal time-based contract and the optimal cost-based contract, both of which consists of one payment scheme. Additionally, we consider a menu of time-based contracts that consists of a series of contracts. By comparing three contracts, we demonstrate that the owner has a preference for the menu of time-based contracts over the other two. The pooling time-based contract is superior to the pooling cost-based contract. We also find that the social welfare under the pooling time-based contract is lower than under the menu of time-based contracts if the daily operating cost is low but it may be higher than under the menu of time-based contracts if the daily operating cost is high. For the pooling cost-based contract, whether it is better than the previous two contracts depend greatly on the proportion of cost borne by the contractor and the daily operating cost.

AbstractObjectiveTo provide global, regional, and national estimates of target population sizes for coronavirus disease 2019 (covid-19) vaccination to inform country specific immunisation strategies on a global scale.DesignDescriptive study.Setting194 member states of the World Health Organization.PopulationTarget populations for covid-19 vaccination based on country specific characteristics and vaccine objectives (maintaining essential core societal services; reducing severe covid-19; reducing symptomatic infections and stopping virus transmission).Main outcome measureSize of target populations for covid-19 vaccination. Estimates use country specific data on population sizes stratified by occupation, age, risk factors for covid-19 severity, vaccine acceptance, and global vaccine production. These data were derived from a multipronged search of official websites, media sources, and academic journal articles.ResultsTarget population sizes for covid-19 vaccination vary markedly by vaccination goal and geographical region. Differences in demographic structure, presence of underlying conditions, and number of essential workers lead to highly variable estimates of target populations at regional and country levels. In particular, Europe has the highest share of essential workers (63.0 million, 8.9%) and people with underlying conditions (265.9 million, 37.4%); these two categories are essential in maintaining societal functions and reducing severe covid-19, respectively. In contrast, South East Asia has the highest share of healthy adults (777.5 million, 58.9%), a key target for reducing community transmission. Vaccine hesitancy will probably impact future covid-19 vaccination programmes; based on a literature review, 68.4% (95% confidence interval 64.2% to 72.6%) of the global population is willing to receive covid-19 vaccination. Therefore, the adult population willing to be vaccinated is estimated at 3.7 billion (95% confidence interval 3.2 to 4.1 billion).ConclusionsThe distribution of target groups at country and regional levels highlights the importance of designing an equitable and efficient plan for vaccine prioritisation and allocation. Each country should evaluate different strategies and allocation schemes based on local epidemiology, underlying population health, projections of available vaccine doses, and preference for vaccination strategies that favour direct or indirect benefits.