Resource regulation and green innovation: Evidence from China's water rights trading policy.

Green innovation is the pivotal part connected with achieving urban sustainable development. Resource regulation, represented by water rights trading policy (WRTP), is playing an increasingly important role in supporting urban green innovation (UGI). Therefore, this paper uses the WRTP conducted in 2014 in China as a quasi-natural experiment to evaluate the net effect of resource regulation on green innovation by the identification methods of difference-in-differences (DID) model. The results show that: (1) WRTP promotes UGI significantly, and this finding holds after a series of robustness tests. (2)The influencing mechanisms are mainly by optimizing industrial structure and enhancing the efficiency of resource allocation and information exchange efficiency and the promoting function is moderated by urban competitiveness and population agglomeration. (3) The promotion effects are greater in cities with higher level of government intervention, environmental pollution, water using quantity and local economy.(4) WRTP has the spatial spillover effect on UGI. These findings provide insights into sustainable development of water resources, management of water trading market, urban green innovation and sustainable economic development.

Physiological Characteristics and Transcriptomic Responses of Pinus yunnanensis Lateral Branching to Different Shading Environments.

Pinus yunnanensis is an important component of China's economic development and forest ecosystems. The growth of P. yunnanensis seedlings experienced a slow growth phase, which led to a long seedling cultivation period. However, asexual reproduction can ensure the stable inheritance of the superior traits of the mother tree and also shorten the breeding cycle. The quantity and quality of branching significantly impact the cutting reproduction of P. yunnanensis, and a shaded environment affects lateral branching growth, development, and photosynthesis. Nonetheless, the physiological characteristics and the level of the transcriptome that underlie the growth of lateral branches of P. yunnanensis under shade conditions are still unclear. In our experiment, we subjected annual P. yunnanensis seedlings to varying shade intensities (0%, 25%, 50%, 75%) and studied the effects of shading on growth, physiological and biochemical changes, and gene expression in branching. Results from this study show that shading reduces biomass production by inhibiting the branching ability of P. yunnanensis seedlings. Due to the regulatory and protective roles of osmotically active substances against environmental stress, the contents of soluble sugars, soluble proteins, photosynthetic pigments, and enzyme activities exhibit varying responses to different shading treatments. Under shading treatment, the contents of phytohormones were altered. Additionally, genes associated with phytohormone signaling and photosynthetic pathways exhibited differential expression. This study established a theoretical foundation for shading regulation of P. yunnanensis lateral branch growth and provides scientific evidence for the management of cutting orchards.

Influence of Artificial intelligent in Industrial Economic sustainability development problems and Countermeasures.

Economic Sustainability Development (ESD) helps improve the sustainable values needed to conserve resources via optimum use, recovery, and recycling. There should be a direct relationship between countermeasures and the cause of economic losses due to improper design of ESD. Therefore, combining big data and cutting-edge technology may facilitate real-time monitoring, encourage consumers to engage in more sustainable practices and foster the development of industry sustainability. However, countermeasures have unforeseen consequences and tradeoffs that are difficult to predict in ESD. In this research, ESD uses big data to enhance their operations and customer service, develop targeted marketing strategies, and boost sales and profitability. In ESD, Data analytics is being used by human resources to improve decision-making throughout the recruiting process and in evaluating employee performance. In the long run, Artificial Intelligence (AI) adoption may boost productivity and produce new goods, creating jobs and boosting the economy. AI may have a net beneficial impact on ESD. Therefore, ESD-AI helps to overcome the problems by minimizing costs and boosting the economy. AI-integrated ESD helps analyze vast amounts of data, which may increase the speed at which things are done and substantially enhance decision-making. Hence, a balanced approach is essential to guarantee that AI systems can tackle sustainability challenges without adversely compromising other aims to boost the economy.

Renewable energy technology innovation and urban green economy efficiency.

Green economy efficiency is the core-factor of urban economic and environmental development. As a sustainable instruments, renewable energy technology innovation (RETI) not only reflects the low energy-consumption, but also promotes the reasonable and balanced relationship between resources utilization and urban economy. In this regard, this paper selects China's cities to investigate the effect of RETI on urban green economy efficiency from 2004 to 2020 based on theoretical analyses and previous studies. The paper finds that RETI can promote urban green economy efficiency significantly, passing a series of robustness test, and its effect has connected differently with the factor of regional factor, cleaner production level and environment pollution. Meanwhile, RETI promotes urban green economy efficiency by reducing CO2 emission and polluting manufacturing agglomeration. To date, this study has discovered the green economy efficiency improvement effects of RETI, providing theoretical basis and practical recommendations for government, technological agency and urban industries.

Balancing equity and policyholder protection: Assessing insurer's interests in green lending under cap-and-trade regulations.

This paper presents a contingent claim model designed to assess an insurer's equity within the framework of carbon trading regulations imposed on borrowing firms while also considering the integration of green lending. The development of this model is particularly relevant for regions with established carbon trading markets, with a specific focus on the post-period following the 2015 Paris Agreement concerning climate change. We focus on shareholders and policyholders to optimize equity and ensure maximum protection. Strict caps in cap-and-trade harm interest margins, reducing guaranteed rates for equity maximization and compromising policyholder protection. Government intervention through sustainable production carbon trading hinders win-win outcomes. Green subsidies can improve insurer margins, but achieving win-win solutions remains challenging. A collective approach is needed to share sustainable production and finance benefits among diverse economic sectors.

Emerging and traditional organophosphate esters in office air from Hangzhou, East China: Seasonal variations, influencing factors and human exposure assessment.

Eight emerging and six traditional organophosphate esters (OPEs) were investigated in office air from Hangzhou China with all the traditional OPEs and 5 out of 8 emerging OPEs detected. The median concentrations of ∑traditional OPEs and ∑emerging OPEs were 61,200 and 5.81 pg/m3, respectively. Butylphenyl diphenyl phosphate (BPDPP) and trisisopropyltrisphenyl phosphate (TIPPP) were observed for the first time in indoor air and Chinese office, respectively. The levels of ∑traditional OPEs decreased in the following order: summer > autumn > spring > winter. Conversely, no obvious trends were observed for emerging OPEs. ∑traditional OPEs (p < 0.001) and tri(chloroisopropyl) phosphate (TCIPP) (p < 0.01) concentrations were positively correlated with temperature. Interestingly, ∑emerging OPEs and the individual emerging OPEs analytes had no significant correlations with temperature (p > 0.05). ∑traditional OPEs, tris(2-chloroethyl) phosphate (TCEP) and TCIPP levels were significantly positively correlated with relative humidity (p < 0.05), while ∑emerging OPEs levels were negatively correlated with relative humidity (p < 0.05). Median intakes of traditional OPEs were estimated to be several orders of magnitude lower than the corresponding Reference Dose (RfD) values. The distinct environmental behaviors of emerging OPEs compared to traditional OPEs, coupled with the lack of established RfD values for them, underscore the need for their risk evaluations in future.

Model-based assessment of mainstream nitrate/nitrite-dependent anaerobic methane oxidation and Anammox process in granular sludge at low temperature.

The process of nitrate/nitrite-dependent anaerobic methane oxidation (n-DAMO) coupled with anaerobic ammonium oxidation (Anammox) is one of groundbreaking discoveries for nitrogen removal and methane emission reduction from wastewater simultaneously. Yet its treatment of mainstream wastewater at low temperature is still a major challenge. In this work, a one-dimensional granular sludge model incorporating Arrhenius conversion for temperature effects was constructed to depict the relationships among n-DAMO microorganisms and Anammox. The model framework was successfully evaluated with 380 days measurement data from a membrane granular sludge reactor (MGSR) operated at temperature of 20-10 °C and fed with ammonium and nitrite. The model could satisfactorily predict the kinetics of nitrogen removal rates, effluent nitrogen concentrations and biomass fractions in MGSR at varying temperatures. Despite the decrease in microbial activity of functional microorganisms, the coupled n-DAMO and Anammox process based on granule system in mainstream wastewater treatment achieved a TN removal efficiency of about 98 % and a stable nitrogen removal rate of 0.55 g L-1 d-1. The model developed is expected to facilitate fundamentally understanding the underlying mechanisms of the coupled process and provide proposals for its practical engineering application in wastewater treatment plants.

Oropharynx pain, discomfort, and economic impact of transesophageal echocardiography for planned radio-frequency catheter ablation in patients with atrial fibrillation: A cross-sectional survey study.

Background: To survey the unmet medical needs associated with atrium thrombus screening in Chinese patients with atrial fibrillation (AF) who underwent transesophageal echocardiography (TEE) for planned radio-frequency catheter ablation (RFCA). Methods: This cross-sectional survey study interviewed 300 patients who underwent their first TEE for planned RFCA. The surveyed information included patients' anxiety, oropharynx pain and discomfort, time expense, and patient satisfaction related to TEE examination. Patient preference for a new atrium thrombus screening technology, hospital length of stay (LOS) of RFCA, and hospital costs of RFCA in these surveyed patients were collected as well. Descriptive statistical methods were used to summarize the collected survey information. Results: Of the 300 interviewed patients, 36.3% reported anxiety before TEE examination, 58.6% reported oropharynx pain related to TEE, and 76.2% reported oropharynx discomforts, mainly including foreign body sensation (54.3%), dry heaves (33.8%), nausea (31.9%), and bleeding (22.9%). Even though 62.3% were satisfied with TEE, 84.3% preferred a new technology to replace TEE. Conducting outpatient TEE took more wait time (4.4 days vs. 0.1 days, p = 0.016) but led to significantly shorter hospital LOS (3.8 days vs. 6.4 days, p < 0.001) and significant lower hospital costs for RFCA (¥74,097 vs. ¥85,843, p < 0.001) than conducting inpatient TEE. Conclusions: Most AF patients experienced oropharynx pain and discomfort during or after TEE. Although more than half of AF patients were satisfied with TEE, most AF patients preferred a new technology to replace TEE for atrium thrombus screening. TEE was associated with economic impact on RFCA irrespective of TEE conducting settings.

Digital economy and green total factor productivity-based on the empirical research on the resource-based cities.

Green economy is the core content of the high-quality economic development, and the digital economy is the new driving force to accelerate the realization of high-quality economic development. In this regard, this paper selects 248 resource-based cities in China from 2011 to 2019 as the research objects and uses the fixed effect model and mediation effect model to test the relationship between digital economy and regional green total factor productivity. We get the following conclusions: First, there is the nonlinear relationship between digital economy and regional green total factor productivity, and this relationship shows the inverted U-shape. Secondly, digital economy can influence regional green total factor productivity through the path transmission mechanism of regional technological innovation, industrial structure, and environmental regulation. Finally, the effect of digital economy on regional green total factor productivity is heterogeneous, especially in the eastern region and cities with high human capital level. Based on the digital economy, the findings of this paper provide theoretical basis and reference suggestions for promoting the green development of regional economy. The government should attach importance to regional green development, actively guide the digital economy to promote green development, accelerate the development of the digital economy, and achieve high-quality economic development finally.

[The Prognosis Assessment Value of Interim 18F-FDG PET/CT Imaging in the Chemotherapy of Diffuse Large B-cell Lymphoma].

OBJECTIVE: To investigate the prognostic value of interim 18F-FDG PET/CT in patients with diffuse large B-cell lymphoma (DLBCL). METHODS: A total of 97 patients with pathologically diagnosed DLBCL at Sichuan Cancer Hospital and Institute from March 2015 to June 2020 were enrolled in this retrospective study. Receiver operating characteristic analysis (ROC) was used to calculate the optimum maximum standard uptake value reduction ratio (△SUVmax%) cut-off value. The prognostic value of △SUVmax% and Deauville five-point scale (5-PS) in patients with DLBCL was compared, and the determined prognostic factors were analyzed. RESULTS: ROC curve indicated that the optimum △SUV max% cut-off value was 74.9%. Patients with △SUVmax%≥74.9% had a lower rate of progression or recurrence than those with △SUVmax% < 74.9% (both P<0.001). Meanwhile, patients with 5-PS score < 4 also had a lower rate of progression or recurrence than those with 5-PS score≥4 (both P<0.001). △SUVmax% and 5-PS had high specificity (83.7% vs 83.7%) and negative predictive value (87.3% vs 84.9%), while low sensitivity (56.0% vs 52.2%) and positive predictive value (53.8% vs 50.0%). △SUVmax% was more sensitive than 5-PS for the corresponding parameters (78.3% vs 76.2%). Univariate analysis showed that Ann Arbor stage, international prognostic index of National Comprehensive Cancer Network (NCCN-IPI), △SUVmax% and 5-PS were associated with TTP and PFS (all P<0.001). Multivariate analysis showed that △SUVmax% was an independent predictor of TTP and PFS (P=0.031, P=0.023). CONCLUSION: Both 5-PS and △SUVmax% can be used to evaluate the prognosis of DLBCL patients, but the predictive value of △SUVmax% is superior to that of 5-PS.

Opportunity of rooftop solar photovoltaic as a cost-effective and environment-friendly power source in megacities.

Rooftop solar photovoltaics (RSPV) are critical for megacities to achieve low-carbon emissions. However, a knowledge gap exists in a supply-demand-coupled analysis that considered simultaneously RSPV spatiotemporal patterns and city-accommodation capacities, a pivotal way to address solar PV intermittency issues. Here, we developed an aggregated model for an RSPV + system by linking building-level potential assessment to dynamic optimization of building-related flexible loads. Taking Beijing, the capital city of China, as case in point, we show that annual RSPV potential in Beijing's Greater-Metropolitan area amounts to 15.4 TWh, all of which could be accommodated environmentally friendly and cost-effectively through the smart operation of electric vehicles and air conditioners equipped with thermal energy storage (TES). Additionally, the RSPV + system would reduce the 8.6 GW transmission capacity otherwise required for increasing electricity demand for 2035 in Beijing. The analysis offers an important reference for sustainable RSPV development in mega-cities in China and other countries globally.

Deep decarbonization of the Indian economy: 2050 prospects for wind, solar, and green hydrogen.

The paper explores options for a 2050 carbon free energy future for India. Onshore wind and solar sources are projected as the dominant primary contributions to this objective. The analysis envisages an important role for so-called green hydrogen produced by electrolysis fueled by these carbon free energy sources. This hydrogen source can be used to accommodate for the intrinsic variability of wind and solar complementing opportunities for storage of power by batteries and pumped hydro. The green source of hydrogen can be used also to supplant current industrial uses of gray hydrogen produced in the Indian context largely from natural gas with important related emissions of CO2. The paper explores further options for use of green hydrogen to lower emissions from otherwise difficult to abate sectors of both industry and transport. The analysis is applied to identify the least cost options to meet India's zero carbon future.

Post-Stroke Cognitive Impairment: Epidemiology, Risk Factors, and Management.

Stroke, characterized as a neurological deficit of cerebrovascular cause, is very common in older adults. Increasing evidence suggests stroke contributes to the risk and severity of cognitive impairment. People with cognitive impairment following stroke often face with quality-of-life issues and require ongoing support, which have a profound effect on caregivers and society. The high morbidity of post-stroke cognitive impairment (PSCI) demands effective management strategies, in which preventive strategies are more appealing, especially those targeting towards modifiable risk factors. In this review article, we attempt to summarize existing evidence and knowledge gaps on PSCI: elaborating on the heterogeneity in current definitions, reporting the inconsistent findings in PSCI prevalence in the literature, exploring established or less established predictors, outlining prevention and treatment strategies potentially effective or currently being tested, and proposing promising directions for future research.

Chinese Consensus Report on Family-Based Helicobacter pylori Infection Control and Management (2021 Edition).

OBJECTIVE: Helicobacter pylori infection is mostly a family-based infectious disease. To facilitate its prevention and management, a national consensus meeting was held to review current evidence and propose strategies for population-wide and family-based H. pylori infection control and management to reduce the related disease burden. METHODS: Fifty-seven experts from 41 major universities and institutions in 20 provinces/regions of mainland China were invited to review evidence and modify statements using Delphi process and grading of recommendations assessment, development and evaluation system. The consensus level was defined as ≥80% for agreement on the proposed statements. RESULTS: Experts discussed and modified the original 23 statements on family-based H. pylori infection transmission, control and management, and reached consensus on 16 statements. The final report consists of three parts: (1) H. pylori infection and transmission among family members, (2) prevention and management of H. pylori infection in children and elderly people within households, and (3) strategies for prevention and management of H. pylori infection for family members. In addition to the 'test-and-treat' and 'screen-and-treat' strategies, this consensus also introduced a novel third 'family-based H. pylori infection control and management' strategy to prevent its intrafamilial transmission and development of related diseases. CONCLUSION: H. pylori is transmissible from person to person, and among family members. A family-based H. pylori prevention and eradication strategy would be a suitable approach to prevent its intra-familial transmission and related diseases. The notion and practice would be beneficial not only for Chinese residents but also valuable as a reference for other highly infected areas.

Combined solar power and storage as cost-competitive and grid-compatible supply for China's future carbon-neutral electricity system.

As the world's largest CO2 emitter, China's ability to decarbonize its energy system strongly affects the prospect of achieving the 1.5 °C limit in global, average surface-temperature rise. Understanding technically feasible, cost-competitive, and grid-compatible solar photovoltaic (PV) power potentials spatiotemporally is critical for China's future energy pathway. This study develops an integrated model to evaluate the spatiotemporal evolution of the technology-economic-grid PV potentials in China during 2020 to 2060 under the assumption of continued cost degression in line with the trends of the past decade. The model considers the spatialized technical constraints, up-to-date economic parameters, and dynamic hourly interactions with the power grid. In contrast to the PV production of 0.26 PWh in 2020, results suggest that China's technical potential will increase from 99.2 PWh in 2020 to 146.1 PWh in 2060 along with technical advances, and the national average power price could decrease from 4.9 to 0.4 US cents/kWh during the same period. About 78.6% (79.7 PWh) of China's technical potential will realize price parity to coal-fired power in 2021, with price parity achieved nationwide by 2023. The cost advantage of solar PV allows for coupling with storage to generate cost-competitive and grid-compatible electricity. The combined systems potentially could supply 7.2 PWh of grid-compatible electricity in 2060 to meet 43.2% of the country's electricity demand at a price below 2.5 US cents/kWh. The findings highlight a crucial energy transition point, not only for China but for other countries, at which combined solar power and storage systems become a cheaper alternative to coal-fired electricity and a more grid-compatible option.

Performance of an artificial intelligence system for bone age assessment in Tibet.

OBJECTIVE: To investigate whether bone age (BA) of children living in Tibet Highland could be accurately assessed using a fully automated artificial intelligence (AI) system. METHODS：: Left hand radiographs of 385 children (300 Tibetan and 85 immigrant Han) aged 4-18 years who presented to the largest medical center of Tibet between September 2013 and November 2019 were consecutively collected. From these radiographs, BA was determined using the Greulich and Pyle (GP) method by experts in a consensus manner; furthermore, BA was estimated by a previously reported artificial intelligence (AI) BA system based on Han children from southern China. The performance of the AI system was compared with that of experts by using statistical analysis. RESULTS: Compared with the experts' results, the accuracy of the AI system for Tibetan and Han children within 1 year was 84.67 and 89.41%, respectively, and its mean absolute difference (MAD) was 0.65 and 0.56 years, respectively. The discrepancy in hand-wrist bone maturation was the main cause of low accuracy of the system in the 4- to 6-year-old group. CONCLUSION: The AI BA system developed for Han Chinese children living in flat regions could enable to assess BA accurately in Tibet where medical resources are limited. ADVANCES IN KNOWLEDGE: AI-based BA system may serve as an effective and efficient solution to assess BA in Tibet.

The Impact of Social Factors on Job Crafting: A Meta-Analysis and Review.

Despite the considerable focus on job characteristics and individual differences in job crafting research, the influence of social factors on job crafting has not been well-acknowledged. Based on social interaction and job crafting literature, this meta-analysis estimates the associations between social factors (i.e., organizational insiders and outsiders) and job crafting, and how these social factors contribute to employee outcomes through their job crafting. Based on a sample of 51 empirical studies that included 54 independent samples (N = 17,863), we found that social factors of positive leadership styles (e.g., empowering and transformational) and coworker support were positively related to employee job crafting. Moreover, leadership showed a stronger correlation with employee job crafting than coworker support and Leader-Member-Exchange (LMX). Further, our study showed that employee job crafting positively mediates the relationships between social factors and work outcomes (e.g., job performance and well-being). Our study contributes to job crafting literature by integrating social factors into the job crafting model and demonstrating that the social context of work (in particular organizational insiders) plays a crucial role in shaping employees' job crafting behavior. We also emphasize the critical role that job crafting plays in transmitting valuable social resources into improved work outcomes. Building on our results, we provide future direction for job crafting research and discuss how our results can imply practice in terms of job crafting training.

[A river stretch scale assessment of urban river habitat in the Taihu Lake Basin]. / 基于河段尺度的太湖流域城市河流生境评价.

Under the background of rapid urbanization, the degradation of urban river water environment and ecological function in the Taihu Lake Basin has become increasingly prominent. Consequently, it is particularly important to systematically assess urban river habitat. This study referred to and corrected the British Urban River Survey evaluation system. Based on the characte-ristics of urban rivers in the Taihu Lake Basin, we established the evaluation system of stretch habitat quality index (SHQI) of urban river stretches and analyzed the urban river habitat status and spatial variation in the Taihu Lake Basin. The results showed that the SHQI values of the 50 river stretches ranged between 8 and 21, with 3 river stretches classified as "excellent" habitat level, 6 as "good", 27 as "moderate", 9 as "poor", and 5 as "very poor". The vegetation index in urban river habitats in the Taihu Lake Basin was good, whereas that of the physical habitat and material index were bad. The overall ranking of habitats was Zhenjiang: Huzhou: Hangzhou: Jiaxing: Suzhou: Wuxi: Changzhou. There were significant differences in physical habitats, material indices and pollution indices among different cities. The main stream and the tributary section significantly differed in the material index and pollution index, but not significant for SHQI. The evaluation system constructed in this study reflected the current situation of urban river habitats in the Taihu Lake Basin, and could provide guidance for ecological restoration of urban rivers.

The manufacturing procedure of 3D printed models for endoscopic endonasal transsphenoidal pituitary surgery.

BACKGROUND: Endoscopic endonasal transsphenoidal pituitary surgery is usually difficult and risky. With limited sources of cadaveric skulls, traditional methods of using virtual images to study the surgery are difficult for neurosurgeons and students because the surgery requires spatial imagination and good understanding of the patient's conditions as well as practical experience. The three-dimensional (3D) printing technique has played an important role in clinical medicine due to its advantages of low cost, high-efficiency and customization. OBJECTIVE: CT images are used as the source data of 3D printing. The data obtained directly from the CT machine has limited accuracy, which cannot be printed without processing. Some commercial platforms can help build an accurate model but the cost and customization are not satisfactory. In this situation, a tactile, precise and low-cost 3D model is highly desirable. METHODS: Five kinds of computer software are used in the manufacturing of medical 3D models and the processing procedure is easy to understand and operate. RESULTS: This study proposes a practical and cost-effective method to obtain the corrected digital model and produce the 3D printed skull with complete structures of nasal cavity, sellar region and different levels of pituitary tumors. The model is used for the endoscopic endonasal transsphenoidal pituitary surgery preparation. CONCLUSION: The 3D printed medical model can directly help neurosurgeons and medical students to practice their surgery skills on both general and special cases with customized structures and different levels of tumors.

Artificial intelligence system can achieve comparable results to experts for bone age assessment of Chinese children with abnormal growth and development.

OBJECTIVE: Bone age (BA) is a crucial indicator for revealing the growth and development of children. This study tested the performance of a fully automated artificial intelligence (AI) system for BA assessment of Chinese children with abnormal growth and development. MATERIALS AND METHODS: A fully automated AI system based on the Greulich and Pyle (GP) method was developed for Chinese children by using 8,000 BA radiographs from five medical centers nationwide in China. Then, a total of 745 cases (360 boys and 385 girls) with abnormal growth and development from another tertiary medical center of north China were consecutively collected between January and October 2018 to test the system. The reference standard was defined as the result interpreted by two experienced reviewers (a radiologist with 10 years and an endocrinologist with 15 years of experience in BA reading) through consensus using the GP atlas. BA accuracy within 1 year, root mean square error (RMSE), mean absolute difference (MAD), and 95% limits of agreement according to the Bland-Altman plot were statistically calculated. RESULTS: For Chinese pediatric patients with abnormal growth and development, the accuracy of this new automated AI system within 1 year was 84.60% as compared to the reference standard, with the highest percentage of 89.45% in the 12- to 18-year group. The RMSE, MAD, and 95% limits of agreement of the AI system were 0.76 years, 0.58 years, and -1.547 to 1.428, respectively, according to the Bland-Altman plot. The largest difference between the AI and experts' BA result was noted for patients of short stature with bone deformities, severe osteomalacia, or different rates of maturation of the carpals and phalanges. CONCLUSIONS: The developed automated AI system could achieve comparable BA results to experienced reviewers for Chinese children with abnormal growth and development.