Control Policies Research Articles

A chromosome-scale genome assembly of the nipa palm hispid beetle Octodonta nipae

Nipa palm hispid beetle (Octodonta nipae) is an insect species that is native to Malaysia but has spread to southern China and beyond, seriously threatening palm production. A lack of high-quality genome resources has hindered understanding of the insect’s invasive characteristics and ecological adaptations. Here, we combined Illumina short read, PacBio long-read, and high-throughput chromosome conformation capture (Hi-C) sequencing technologies to generate a high-quality, chromosome-scale genome assembly of nipa palm hispid beetle. The genome assembly was 1.31 Gb in size, consisting of nine chromosomes. The contig and scaffold N50 values were 1.022 Mb and 148.6 Mb, respectively. The genome assembly completeness was estimated at 99.1%. Annotation revealed 16,305 protein-coding genes and 62.16% repeat sequences. This high-quality genome assembly is a valuable resource that will contribute to understanding of the genetic factors underlying the invasive characteristics of nipa palm hispid beetle, ultimately promoting development of efficient control policies.

Carbon Emissions and Intensity of Land Use: A Rural Setting Analysis in Ningde City, China

Carbon emissions and land use intensity serve as crucial indicators of land management. This paper proposes a methodological framework to elucidate the sustainability of carbon emissions in rural areas via a coordination model, scrutinizes the correlation with land use intensity, and investigates the significance of influential factors. The study focuses on village-level units within Ningde City, and finds the pronounced spatial heterogeneity characterizing the distribution of carbon emissions across different villages: (1) Villages exhibiting high levels of carbon emissions are predominantly concentrated in the southeast region, whereas those with low carbon emission levels are primarily clustered in the northwest region. The majority of the villages serve as net carbon emission sources. (2) Spatial disparities exist in the impact of land use intensity on economic benefits from carbon sources, ecological benefits from carbon sinks, and carbon emission sustainability. (3) Significant variations exist in the influence of factors affecting land use intensity, economic benefits of carbon sources, ecological benefits of carbon sinks, and the sustainability of carbon emissions in rural areas. These findings could guide governments in implementing distinct land use control policies and provide a framework for assessing carbon emission sustainability within land management strategies.

Associations between vaping and self-reported respiratory symptoms in young people in Canada, England and the US

BackgroundPrevalence of youth nicotine vaping has increased, heightening concerns around negative health effects. This study aimed to compare self-reported respiratory symptoms among youth by vaping behaviours.MethodsParticipants (n = 39,214) aged 16–19 from the 2020 and 2021 International Tobacco Control Policy Evaluation Project (ITC) Youth Tobacco and Vaping Surveys (Canada, England, US). Weighted multivariable logistic regression assessed associations between reporting any of five respiratory symptoms in the past week (shortness of breath, wheezing, chest pain, phlegm, cough) and: past 30-day smoking and/or vaping; lifetime/current vaping. Among past-30-day vapers (n = 4644), we assessed associations between symptoms and vaping frequency, use of nicotine salts, usual flavour and device type(s).ResultsOverall, 27.8% reported experiencing any of the five respiratory symptoms. Compared with youth who had only vaped, those who had only smoked had similar odds of symptoms [adjusted odds ratio, OR (95% confidence interval, CI): 0.97 (0.85–1.10)], those who both smoked and vaped had higher odds [1.26 (1.12–1.42)], and those who had done neither, lower odds [0.67 (0.61–0.72)]. Compared with those who had never vaped, past use, experimentation and current regular or occasional use were all associated with higher odds. Reporting usually using nicotine salts was associated with higher odds of symptoms [1.43 (1.22–1.68)] than non-salt but was often uncertain. Compared with tobacco flavour (including with menthol), menthol/mint and sweets flavours were associated with similar odds; fruit [1.44 (1.07–1.93)], multiple [1.76 (1.30–2.39)] and ‘other’ [2.14 (1.45–3.16)] flavours with higher odds. All device types were associated with similar odds.ConclusionsAmong youth, vaping was associated with increased reporting of past-week respiratory symptoms. Among those who vaped, some flavour types and potentially nicotine salts were associated with respiratory symptoms.

Interaction between urbanization and carbon emission in Guizhou Province

Investigating interplay between urbanization and carbon emissions is crucial for reaching carbon peak objective. This study employs a VAR model to examine correlation between the urbanization rate and carbon emissions specifically within Guizhou Province, VAR model has obvious advantages in studying the dynamic relationship between them. The findings indicate that: (1) In Guizhou Province, there is a nuanced interplay between the urbanization rate and carbon emissions, with the magnitude and direction of their influence varying across different time intervals. (2) Carbon emissions in Guizhou Province exhibit a notable self-propelling effect, while concurrently, the urbanization rate demonstrates an inertia effect, which also contributes to its own advancement. (3) The influence of the urbanization rate on carbon emissions in Guizhou Province experiences gradual rise before plateauing, suggesting that the high-quality advancement of new urbanization in the region facilitates the achievement of carbon reduction objectives. Finally, policy recommendations are put forward: (1) Conscientiously implement the central ecological environment zoning control policies, such as: Guizhou Province Ecological environment zoning control Plan and Guizhou Province Urban and Rural Construction Carbon peak Implementation Plan and other policies. (2) Pay attention to the quality of Guizhou’s urbanization process. Solve the relationship between urbanization and carbon emissions, and realize the coordination and unification of urbanization and the carrying capacity of resources and environment. (3) Develop a new type of urbanization rich in Guizhou’s mountainous characteristics and promote the construction of low-carbon cities. Give full play to the regional characteristics of Guizhou’s mountainous areas, build a new type of urbanization with Guizhou’s mountainous characteristics, promote the construction of low-carbon cities in the process of urbanization development, and strengthen the coordinated development of ecological environment construction and urbanization.

Learning Advanced Locomotion for Quadrupedal Robots: A Distributed Multi-Agent Reinforcement Learning Framework with Riemannian Motion Policies

Recent advancements in quadrupedal robotics have explored the motor potential of these machines beyond simple walking, enabling highly dynamic skills such as jumping, backflips, and even bipedal locomotion. While reinforcement learning has demonstrated excellent performance in this domain, it often relies on complex reward function tuning and prolonged training times, and the interpretability is not satisfactory. Riemannian motion policies, a reactive control method, excel in handling highly dynamic systems but are generally limited to fully actuated systems, making their application to underactuated quadrupedal robots challenging. To address these limitations, we propose a novel framework that treats each leg of a quadrupedal robot as an intelligent agent and employs multi-agent reinforcement learning to coordinate the motion of all four legs. This decomposition satisfies the conditions for utilizing Riemannian motion policies and eliminates the need for complex reward functions, simplifying the learning process for high-level motion modalities. Our simulation experiments demonstrate that the proposed method enables quadrupedal robots to learn stable locomotion using three, two, or even a single leg, offering advantages in training speed, success rate, and stability compared to traditional approaches, and better interpretability. This research explores the possibility of developing more efficient and adaptable control policies for quadrupedal robots.

Burden of tobacco-related cancers in urban, semi-urban and rural setting of Nepal: Findings from population-based cancer registries 2019.

Nepal is one of the high prevalent countries for tobacco use in Southeast Asia regions. Tobacco related cancer share the major burden since a decade, however, population-based estimates is still lacking. This study provides results from population-based cancer registries on tobacco-related cancer (TRCs) burden in Nepal. The data were collected by population-based cancer registry conducted in nine districts by Nepal Health Research Council. The districts were categorized in urban, semi-urban and rural regions on the basis of geographical locations and facilities available in the regions. Analysis was done to identify tobacco-associated cancer incidence, mortality and patterns along with cumulative risk of having cancer before the age of 75 years. Tobacco-related cancer was 35.3% in men and 17.3% in women. We found that every one in 36 men and one in 65 women developed tobacco-related cancer before age 75 in Nepal. Cancer of lung, mouth, esophagus and larynx were among the five most common tobacco-related cancers in both men and women. The incidence of tobacco-associated cancers was higher in urban region with age adjusted rate 33.6 and 17.0 per 100,000 population for men and women respectively compared to semi-urban and rural regions. Tobacco-associated cancer mortality was significantly higher compared to incidence. The prevalence of tobacco-related cancer found high in Nepal despite of enforcement of tobacco control policy and strategies including WHO framework convention on tobacco control. Concerned authorities should focus towards monitoring of implemented tobacco control policy and strategies.

Hardware Compression Method for On-Chip and Interprocessor Networks with Wide Channels and Wormhole Flow Control Policy

Increasing the number of processing cores is currently a common way to boost processor performance. However, the load on the memory subsystem consequently increases as the number of its agents grows. Hardware data compression is an unconventional approach to improving memory subsystem performance by reducing, firstly, the main memory access rate by increasing the cache capacity and, secondly, data traffic by packing the data more densely. The paper describes the implementation of hardware data compression in the on-chip network and interprocessor links of a configuration with wide data transmission channels and a wormhole flow control policy. The existing solutions cannot be applied to such configurations because they are essentially based on using narrow data channels and flow control policies implying uninterrupted packet transmission, which is not maintained with the wormhole flow control. The method proposed in this paper enables the use of hardware compression in the aforementioned configuration by moving data compression and decompression from networks to the connected devices, as well as by using a number of optimizations to hide the data processing delays. Optimizations of some specific cases, such as the transmission of large data packets with several cache lines or the transmission of zero data, are considered. Special attention is given to data transmission via interprocessor links, where, due to their lower bandwidth compared to the on-chip network, data compression can be the most beneficial. The increase in memory subsystem bandwidth from using hardware data compression was confirmed in the experiments showing the relative IPC increase in SPEC CPU2017 benchmarks up to 14 percent.

Self‐triggered control for linear systems based on hierarchical reinforcement learning

AbstractIn this article, we propose a model‐free self‐triggered control approach for linear systems using a hierarchical policy framework. This framework splits the self‐triggered control approach into top and bottom‐level policies. The top‐level policy generates a triggering time interval based on an initial control strategy, while the bottom‐level policy creates a control inputs guided by the top‐level sub‐goal. This division ensures that both strategies have their own independent tasks and optimization goals, facilitating a model‐free iterative design process for self‐triggered control. The present structure integrates with a dual‐Actor Critic algorithm, utilizing two interconnected neural networks to approximate control and trigger policies. It reflects the framework of hierarchical reinforcement learning, wherein top‐level policies guide bottom‐level decision‐making. It fosters the model‐free design of self‐triggered controller, thereby enhancing the efficiency of the learning process. To validate the effectiveness of our proposed method, we conduct a series of numerical simulations.

Impact of New York City Cigarette Floor Price Policy on Reducing Smoking Disparities.

In 2017, New York City (NYC) passed a minimum floor price law (MFPL) to raise the minimum price of a pack of cigarettes to $13.00. Evaluation of the MFPL in NYC is limited and has yet to examine its potential as a pro-equity policy. Data (n = 20,241; pre-policy n =15,037, post-policy n =5,204) were obtained from the New York State Adult Tobacco Survey, a quarterly repeated cross-sectional survey. Using the Difference-in-Differences approach, we compared changes in reported cigarette prices, cigarette consumption, and smoking status among NYC residents before and after policy implementation to changes in the same outcomes among residents in the rest of the state (ROS) over the same period. For some smokers, cigarette price increased in NYC for post-policy period; moreover, prices increased more in NYC than in ROS. NYC smokers who reported higher income, more education, or White or "Other" race, reported a bigger price increase than their ROS counterparts. Cigarette consumption decreased more in the post-policy period for people in the ROS, in general and among certain groups. Everyday smoking status decreased similarly in both NYC and ROS, whereas someday smoking status decreased primarily in the ROS during the analysis period. Cigarette prices in NYC increased after the 2017 MFPL; these increases were greater than those occurring elsewhere in the state, suggesting the policy might be a factor in the change. However, the increases were concentrated among relatively higher priced purchases, and groups with lower smoking prevalence. Changes in smoking status and cigarette consumption did not correspond to study hypotheses. This study provides an empirical analysis of a real-world policy in tobacco control. It examines the potential of the MFPL in New York City as a pro-equity policy. Findings extend the current MFPL literature and suggest that they may be able to raise cigarette prices for some purchases, but also may have a limited impact on smoking behaviors.

ADLBiLSTM: A Semantic Generation Algorithm for Multi-Grammar Network Access Control Policies

Semantic generation of network access control policies can help network administrators accurately implement policies to achieve desired security objectives. Current semantic generation research mainly focuses on semantic generation of single grammar and lacks work on automatically generating semantics for different grammatical strategies. Generating semantics for different grammars is a tedious, inefficient, and non-scalable task. Inspired by sequence labeling in the field of natural language processing, this article models automatic semantic generation as a sequence labeling task. We propose a semantic generation algorithm named ADLBiLSTM. The algorithm uses a self-attention mechanism and double-layer BiLSTM to extract the features of security policies from different aspects, so that the algorithm can flexibly adapt to policies of different complexity without frequent modification. Experimental results showed that the algorithm has good performance and can achieve high accuracy in semantic generation of access control list (ACL) and firewall data and can accurately understand and generate the semantics of network access control policies.

Importance of Various E-Cigarette Device and E-Liquid Characteristics by Smoking Status among Young Adults Who Vape

Background E-cigarette product characteristics are known to influence appeal among young adults. Understanding which characteristics appeal to individuals with (vs. without) a history of combusted tobacco use is essential for developing effective tobacco control policies. Methods Anonymous, self-report data were collected from young adults (18-30 years) who had used e-cigarettes in the past 30 days (n = 295) online via Prolific from September-October 2019. Using a visual analogue scale (range: 0-100), participants rated the importance of ten e-cigarette device and nine e-liquid characteristics. Adjusted linear regression models were used to evaluate the association of combusted tobacco use status (never, former, current) with mean rating scores for each of the nineteen characteristics. Results The most important e-cigarette device characteristics were price (Mean = 81.1; [SD = 17.9]), size (Mean = 75.5 [SD = 20.9]), and hit strength (Mean = 73.8 [SD = 20.4]) while the most important e-liquid characteristics were flavor (M = 85.1 [SD = 16.3]), price (M = 80.9 [SD = 18.4]), and nicotine level (M = 77.8 [18.9]). Differences by combusted tobacco use status were observed for device brand, temperature/voltage, customizability, color, and popularity, with the highest ratings generally observed among those concurrently using combustible tobacco products. For e-liquids, differences by use status were observed for flavor, price, and bottle type. Notably, those concurrently using combusted products rated flavor as less important than those with no history of combustible tobacco use (B=-5.01[95%CI=-9.97, −0.05]). Conclusions The self-rated importance of e-cigarette device and e-liquid attributes varies by combustible tobacco use status among young adults which may be used to inform regulatory decisions regarding e-cigarette product characteristics.

State policy of supervision and control regarding compliance with labour discipline of employees and its implementation

Research issue: The study is driven by contemporary global challenges regarding the stability and efficiency of production processes, the necessity to enhance competitiveness, and ensuring workplace safety, which demands a systematic approach to monitoring and supervising adherence to labour discipline. The research is theoretical in nature. The aim/objective of the study is to analyse the specifics of state policy on supervision and control over employees’ adherence to labour discipline, the peculiarities of its practical implementation, and perspectives for improvement. Method: The study employed a logical-semantic method, analytical and documentary methods of analysis, and the method of expert assessment of labour discipline of employees and employers based on their evaluation of certain aspects of labour discipline. The research methodology included a sample size of 30 respondents, and the research instrument was expert evaluation. Data collection was conducted through surveys, and the calculation method was quantitative. Results: The article examines the impact of the main incentives and methods on ensuring labour discipline, determining their essence and forms of manifestation. It also considers the extent of application of each method in enterprise practices. It was found that economic methods are widely used and aimed at increasing employee motivation and maintaining their labour discipline. The analysis revealed that the main manifestations of employee labour discipline and managerial duties are differences in the perception of labour discipline by both parties. It was found that employers underestimate the productivity and abilities of employees, indicating potential systemic deficiencies in human resource management. Conversely, employees note that managers ignore their needs and problems. The results of the expert evaluation showed that employees rated their discipline higher than employers did. These discrepancies in evaluations could affect internal relations within the team and require managerial attention to improve interaction and cooperation. Conclusion: Based on the assessment of labour discipline, systemic deficiencies in human resource management were identified, highlighting the need for appropriate monitoring and employee motivation mechanisms. The study proposes innovative personnel management methods to ensure labour discipline in enterprises, including HR branding, team building, mentoring, and grading. It is proven that these approaches allow for the creation of a fundamentally new management system to ensure compliance with labour discipline and the development of professionalism and employee motivation.

Authorized Keyword Search over Outsourced Encrypted Data in Cloud Environment

This project focuses on developing a secure and efficient mechanism for authorized keyword search over encrypted data outsourced to a cloud environment. With the increasing popularity of cloud computing, data owners are often required to outsource their data to cloud servers for storage and processing. However, the security of outsourced data is a major concern due to the possibility of unauthorized access by cloud providers or malicious attackers. To address this problem, the proposed system introduced a novel expressive authorized keyword search scheme relying on the concept of ciphertext-policy attribute-based encryption. The mechanism also incorporates access control policies to ensure that only authorized users can perform the search operation. Experimental results demonstrate that the proposed mechanism can achieve high search efficiency while maintaining strong security guarantees

FAST AND ACCURATE POPULATION FORECASTING WITH TWO-SCALE FRACTAL POPULATION DYNAMICS AND ITS APPLICATION TO POPULATION ECONOMICS

One of the major challenges in population economics is accurately predicting population size. Incorrect predictions can lead to ineffective population control policies. Traditional differential models assume a smooth change in population, but this assumption is invalid when measuring population on a small-time scale. To address this change, we developed two-scale fractal population dynamics that can accurately predict population size with minimal experimental data. The Taylor series method is used to reveal the population’s dynamical properties, and the Padé technology is adopted to accelerate the convergence rate.

Economic Implications of Government Flood Control Policy: A Case of Rice in Japan

Japan’s susceptibility to and severity of floods have necessitated flood control policies by the government. “Overflowing flood control”, in which the floods due to torrential rains are systematically diverted to agricultural lands in the upper to middle reaches, is one of them. More information is needed on the public assessment of the overflowing flood control policy, and this research seeks to bridge this gap. Data evaluating rice affected by the policy were collected from a random nth-price auction using a developed online system. The sample consisted of 47 consumers living in the downstream areas of the Edogawa River, one of Japan’s first-class, or prime, rivers. Data on their attitudes toward the policy were collected with a questionnaire. Multiple ordered probit models are used for regression analysis. The results show that the sample respondents were willing to pay an average of JPY 1578 for 5 kg of rice, slightly higher than the national average rice production cost, and that 36% of the sample agreed with the flood control policy, which is positively associated with large families or owning many assets.

A longitudinal study of tick infestations and management practices in young stock smallholder dairy cattle in the Tanga region, Tanzania

A longitudinal study involving cohorts of young stock animals (<3 years old) kept on smallholder dairy farms in the Tanga region, Tanzania, was conducted to identify and quantify tick infestations and describe on-farm tick management practices. A total of 549 young stock were followed for 23 months, and 3127 grazing and acaricide treatment observations were obtained. Tick counts were low in the present study, and while more than 30% of animals had a tick on one occasion, most animals had no ticks at most examinations. The most commonly encountered spp. were R. appendiculatus, Boophilus spp., A. variegatum and R. evertsi. Most animals were zero-grazed, a management system that significantly limits animal exposure to ticks; however, grazed calves were more than three times more likely to carry R. appendiclatus and Boophilus spp. ticks than zero-grazed calves were (OR [odds ratio] = 4.4, P < 0.001; 3.6, P < 0.001). There were no significant differences among sampling rounds in the numbers of animals carrying R. appendiculatus ticks (likelihood ratio test P = 0.520). Hand spraying was the common method used, acaricides that require on farm dilution were most commonly used, and most farmers used this method at concentrations considerably less than those recommended by the manufacturer, most likely due to poor understanding, high cost (tempting them to over dilute) and weak extension/veterinary services. Variation in acaricide treatment frequency was not associated with variations in tick attachment, suggesting that most farms were under a strong acaricide regime or at irregular intervals or with tick-building resistance. Our findings suggest that geographic variations in vector densities might partly influence the extent of infection caused by tick-borne pathogens. The applicability of this study to large and extensive cattle production systems is recommended to widen the scope of tick management practices while generating additional data that will inform national tick and tick-borne disease control policy reform in Tanzania.

Fuzzy control for networked systems with mixed data missing under quantization based event-triggered scheme

This paper presents an innovative event-triggered fuzzy control approach for networked systems operating over unreliable network channels. Traditional complicated modeling and analysis process of network induced issues is replaced by a bran-new logarithmic quantization based event-triggered scheme method. The joint characterization of mixed data missing, arising from the event-triggered mechanism and unreliable network channels, becomes a challenging issue due to disrupted data sequences and variable relations. Consequently, this paper contributes a formulated auxiliary stochastic sequence approach to overcome the difficulty of dynamics modeling. With an formulated event driven controller, the modeling and implementation of the closed-loop systems are constructed and further simplified. Considering the difference and relation between the membership functions of plant and controller, we present a new fuzzy output feedback controller design method to obtain feasible result via uncertainty based method. Finally, we verify the validity of the designed control policy via a simulation example.

Adaptive event‐triggered control and observer design for discrete‐time nonlinear Markov jump systems with DoS attacks using policy iteration‐based adaptive dynamic programming

AbstractThis article addresses adaptive event‐triggered discrete‐time nonlinear Markov jump systems (MJs) with DoS attacks, where the introduced DoS attacks are considered as more general stochastic models with fixed trigger frequency and duration. To solve the optimal control problem, we use an adaptive dynamic programming (ADP) algorithm based on policy iteration (PI). The approximate process is as follows: the performance index function (PIF) is first updated by the iteration policy in advance, and the control policy is obtained from the PIF. Subsequently, an approximate estimation of the optimal PIF and the optimal control policy is made using the actor‐critic structure obtained through neural network techniques. In order to reduce the occupied communication resources required for control policy iteration, we introduce an adaptive event triggering mechanism with an adaptive triggering threshold, which reduces the conservatism of resource occupation by the PIF compared to the fixed‐threshold ETM. In addition, an observer identifying the unknown dynamics part of the system is designed. Finally, using the Lyapunov function, it is shown that the designed control policy ensures the stability and convergence of the MJS, and the designed observer is effective. Simulation examples are given to verify the feasibility of the controller and the observer.

Decoupling dynamics: Evaluating the relationship between ship emissions and socioeconomic progress in the Yangtze River Basin from 2007 to 2022

To investigate the decoupling relationship between inland ship emissions and regional socioeconomic development in the Yangtze River Basin, this study constructed an emissions inventory for inland ships from 2007 to 2022, based on inland shipping freight statistics and ship carbon pollution emission intensity. Additionally, the Petri-Tapio decoupling model was employed to analyze the relationship between ship carbon pollution emissions and per capita GDP. The study concluded that CO2 emissions from inland ships in the Yangtze River Basin increased from 2.418 million tons in 2007 to 10.801 million tons in 2022. In 2021, the emissions of NOx and SOx from inland ships in the Yangtze River Basin accounted for 2.27% and 0.0021%, respectively, of China's anthropogenic emissions. Despite a year-on-year increasing trend in ship emissions within the basin, significant reductions in PM and SO2 emissions were observed post-2018 due to the implementation of emission reduction policies. Furthermore, we found that economically developed areas such as Shanghai, Jiangsu, and Zhejiang had higher emissions compared to other regions, with regional ship emissions positively correlating with the level of economic activity. Decoupling analysis results indicated that most provinces in the Yangtze River Basin have not effectively decoupled ship carbon pollution emissions from GDP growth. The findings of this study provide support for the Chinese government to formulate stricter ship emission control policies while promoting the growth of the Yangtze River shipping economy.

Transmission risks of Omicron BA.5 following inactivated COVID-19 vaccines among children and adolescents in China.

As SARS-CoV-2 Omicron variants circulating globally since 2022, assessing the transmission characteristics, and the protection of vaccines against emerging Omicron variants among children and adolescents are needed for guiding the control and vaccination policies. Weconducted a retrospective cohort study for SARS-CoV-2 infections and close contacts aged <18 years from an outbreak seeded by Omicron BA.5 variants. The secondary attack rate (SAR) was calculated and the protective effectsof two doses of inactivated vaccine (mainly Sinopharm /BBIBP-CorV) within a year versus one dose or two doses above a year after vaccination against the transmission and infection of Omicron BA.5 were estimated. A total of 3442 all-age close contacts of 122 confirmedSARS-CoV-2 infections aged 0-17 years were included. The SAR was higher in the household setting and for individuals who received a one-dose inactivated vaccine or those who received a two-dose for more than one year, with estimates of 28.5% (95% credible interval [CrI]: 21.1, 37.7) and 55.3% (95% CrI: 24.4, 84.8), respectively. The second dose of inactivated vaccine conferred substantial protection against all infection and transmission of Omicron BA.5 variants within a year. Our findings support the rollout of the second dose of inactivated vaccine for children and adolescents during the Omciron BA.5 predominant epidemic phase. Given the continuousemergence of SARS-CoV-2 variants, monitoring the transmission risk and corresponding vaccine effectiveness againstSARS-CoV-2 variants among children and adolescents is important to inform control strategy.