Md Mizanur Rahman Manu , Qinyi Wang , Dan Li , Yangyue Sheng , Yili Zhang , Xinrun Zhong , Hao Wu , Zhengfeng Huang , Chao Zhang , Xiaoyong Qian , Kaipei Qiu
{"title":"Resolving the facility-specific increase of local greenhouse gas concentrations by an industrial wastewater treatment plant","authors":"Md Mizanur Rahman Manu , Qinyi Wang , Dan Li , Yangyue Sheng , Yili Zhang , Xinrun Zhong , Hao Wu , Zhengfeng Huang , Chao Zhang , Xiaoyong Qian , Kaipei Qiu","doi":"10.1016/j.eti.2025.104134","DOIUrl":"10.1016/j.eti.2025.104134","url":null,"abstract":"<div><div>Wastewater treatment plants (WWTPs) have been the fourth largest sector for global methane emissions and fifth for nitrous oxide, generating 2.2 % of the annual anthropogenic greenhouse gas (GHG) emissions. However, few studies have systematically examined the impact of an individual WWTP on the atmospheric GHG levels in surrounding areas, and in particular, the comprehensive analysis of facility-specific contribution is lacking. To address the research gap, this work performed AERMOD simulation with a 12-month GHG monitoring campaign at a full-scale industrial WWTP, covering all the 18 emission units in it. For the five populated towns in a 20 × 20 km area nearby, the increase of GHG concentration ranged from 13.0 to 83.2 ppb<sub>CO2-eq</sub> yr<sup>−1</sup>, which was 1.45 % of the global growth rate on average. A more detailed evaluation was conducted on Duct 1–5 and Ox A/B. It was found that these seven facilities produced 95.4 % of the total GHG emissions, but caused only 86.9 % of the concentration changes. Regardless of the type of GHGs, the ratios of concentration to emission were consistently lower than one for points sources, while higher than one for area sources. The model reliability was further validated through two additional months of continuous monitoring. These findings underscored the importance of incorporating facility-specific contributions on local GHG concentrations into the development of mitigation strategies for WWTP in future.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"38 ","pages":"Article 104134"},"PeriodicalIF":6.7,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study on the effect of multi-stage filtration strategy on the wet filtration dust collector performance","authors":"Shuda Hu , Shihang Li , Hao Jin , Xu Zhang","doi":"10.1016/j.eti.2025.104128","DOIUrl":"10.1016/j.eti.2025.104128","url":null,"abstract":"<div><div>Wet Filter Dust Collectors (WFDC) are commonly used in the mining industry for dust control. However, when filtering high concentration dust-laden air streams, the filter of WFDC is easily clogged. To solve the problem, this paper proposes a multi-stage filtration strategy based on Metal-based filter screens (MBFS) and conducts experimental. The results indicate that when the inlet dust concentration was 400 mg/m³ , using a dual-layer MBFS with filtration precisions of 40 and 60 mesh and an installation distance of 0 mm, the WFDC achieves the minimum pressure drop of 450.09 Pa and dust emission concentration of 2.89 mg/m³ . Additionally, when the inlet dust concentration increases, the WFDC can operate stably for a long time, and no clogging was observed for the filter. The multi-stage filtration strategy effectively solves the filter clogging problem. The results provide theoretical guidance for the design and application of WFDCs.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"38 ","pages":"Article 104128"},"PeriodicalIF":6.7,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Peixin Li , Yusen Zhang , Heng Cheng , Junzeng Xu , Xiaoyin Liu
{"title":"New vision on mulching: Rice growth and nitrogen transformation under the control of paper film thickness","authors":"Peixin Li , Yusen Zhang , Heng Cheng , Junzeng Xu , Xiaoyin Liu","doi":"10.1016/j.eti.2025.104119","DOIUrl":"10.1016/j.eti.2025.104119","url":null,"abstract":"<div><div>Film mulching technology has attracted much attention as an important means to improve the quality and yield of crops. Straw fiber paper film, due to its fully degradable characteristics, has been applied to the green production of various economic crops. This study explored the possibility of large-scale effective application of paper film mulching in water-saving irrigation paddy fields. Through field experiment, it comprehensively analyzed the rice growth characteristics, rice yield, and nitrogen transfer in soil under paper film mulching conditions, and examined the responses of these variables to different layers of paper film mulching thicknesses. The experimental result showed that one layer of paper film was currently the best mulching thickness for water-saving irrigation paddy fields, which ensured environmental friendliness while improving rice yield. Compared with non-mulching, one layer of paper film can increase rice yield by 20.2 % and ensure the low level of ammonia volatilization flux. At the same time, it offered more cost-effective solution for weed suppression compared to manual weeding. This study provided the reference for green sustainable cultivation of rice and innovatively development of film mulching technology.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"38 ","pages":"Article 104119"},"PeriodicalIF":6.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ying Liu , Zenglei Song , Haikun Zhang , Yanyu Sun , Xiaoke Hu , Caixia Wang
{"title":"Unveiling associations between heavy metals and bacterial functional assembly under the impact of Spartina alterniflora invasion in the Yellow River Delta wetland","authors":"Ying Liu , Zenglei Song , Haikun Zhang , Yanyu Sun , Xiaoke Hu , Caixia Wang","doi":"10.1016/j.eti.2025.104120","DOIUrl":"10.1016/j.eti.2025.104120","url":null,"abstract":"<div><div>Heavy metal accumulation plays a paramount role in determining microbial-driven processes in ecosystems. However, the importance of sediment microbial functional assembly shaped by <em>Spartina alterniflora</em> invasion under the impact of heavy metals is still far from adequately understood. Here, 16S rRNA gene sequencing and sediment physicochemical properties analysis were used to determine the characteristics of bacterial assembly and functional profiles with seasonal variation across rhizosphere area of <em>S. alterniflora</em> (RS), non-rhizosphere area (NRS) and non-invaded area (NIA) near the Yellow River Delta wetland. Results indicated that sediment bacterial diversity was much higher near the RS area than it in the other area during summer, and this high diversity was correlated with elevated carbon-nitrogen levels near the RS area. In summer, heavy metals were primarily concentrated in the rhizosphere region but exhibited variability during winter. Sediment bacterial communities are governed primarily by homogeneous selection throughout the seasons, and they vary greatly in summer and winter in response to <em>S. alterniflora</em> invasion. Moreover, the functional profiles revealed that carbon metabolism and sulfur metabolism were predominant in both summer and winter, and the proportion of sulfur metabolism clearly increased near the rhizosphere region. The variation in carbon and nitrogen caused by the invasion of <em>S. alterniflora</em> under the influence of heavy metals was closely related to the characteristics of bacterial groups. Overall, this study elucidated the significant seasonal variability in diverse sediment microbial communities within plant-invaded wetlands. Furthermore, a linkage between heavy metals, bacterial assembly and bacterial functions amid plant invasions was proposed.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"38 ","pages":"Article 104120"},"PeriodicalIF":6.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Helin Yin , Dong Jin , Heeji Hong , Jaewon Moon , Yeong Hyeon Gu
{"title":"IAQ-STL-ML: A novel indoor air quality prediction pipeline using meta-learning framework with STL decomposition","authors":"Helin Yin , Dong Jin , Heeji Hong , Jaewon Moon , Yeong Hyeon Gu","doi":"10.1016/j.eti.2025.104107","DOIUrl":"10.1016/j.eti.2025.104107","url":null,"abstract":"<div><div>Today, as people spend over 90 % of their time indoors, indoor air quality is crucial due to the health effects of various pollutants. Accurate indoor air pollution predictions can alert occupants to improve indoor air quality before it deteriorates, which can greatly benefit the comfort, health, and safety of indoor occupants. Many recent studies have used deep learning methods to predict air quality. However, these traditional approaches require a large amount of dataset, are difficult to capture the spatial-temporal characteristics of air quality data collected from multiple regions. And selecting the most suitable prediction model based on data characteristics is also an important issue. To address such problems, we propose a novel indoor air quality prediction pipeline (IAQ-STL-ML), which integrates the seasonal trend decomposition using the Loess (STL) and meta-learning framework. In the proposed IAQ-STL-ML pipeline, we first use the STL decomposition method to remove the residual component from the indoor air quality (PM<sub>10</sub>). Then, meta-features are extracted from the time series data, and based on these meta-features, the meta-learner assigns weights to the predictions of base forecasters and combines these values to predict the PM<sub>10</sub> concentration one hour later. In this study, we solved the “prediction lag” problem by using the STL method on time series PM<sub>10</sub> data. The proposed IAQ-STL-ML pipeline was applied to indoor air quality dataset collected from various regions in South Korea. Experimental results showed that proposed IAQ-STL-ML outperformed the benchmark models with an accuracy of 94.93 % and RMSE of 1.876.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"38 ","pages":"Article 104107"},"PeriodicalIF":6.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xijian Liu , Li Sun , Shuaibing Wang , Zitian Pu , Runze Cao , Shuaishuai Wu , Zhihong Xie , Dandan Wang
{"title":"Genomic analysis and phytoprobiotic characteristics of Acinetobacter pittii P09: A p-hydroxybenzoic acid-degrading plant-growth promoting rhizobacteria","authors":"Xijian Liu , Li Sun , Shuaibing Wang , Zitian Pu , Runze Cao , Shuaishuai Wu , Zhihong Xie , Dandan Wang","doi":"10.1016/j.eti.2025.104113","DOIUrl":"10.1016/j.eti.2025.104113","url":null,"abstract":"<div><div><em>p</em>-hydroxybenzoic acid (PHBA), as a representative allelochemical, accumulates in soil and poses significant risks to the growth and development of crops, and this study aims to solve the challenge of PHBA autotoxicity through microbial bioremediation. A novel strain <em>Acinetobacter pittii</em> P09 was isolated from the rhizosphere of peanut, exhibiting highly efficient bioremediation and plant growth-promoting functions. Through whole-genome sequencing (3843,723 bp chromosome, 38.88 % GC content) analysis, the key genomic determinants enabling PHBA degradation and plant-beneficial traits including IAA, phosphate solubilization, and biofilm formation were identified. In addition, the application of strain P09 not only significantly enhanced peanut germination and plant growth, but also augmented the activities of antioxidant enzymes under PHBA stress. Overall, these findings demonstrate that <em>Acinetobacter pittii</em> P09 is a multifunctional plant growth-promoting rhizobacteria capable of alleviating autotoxicity stress and facilitating organic agriculture applications.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"38 ","pages":"Article 104113"},"PeriodicalIF":6.7,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jie Bi , Xueying Gan , Chenwei Shi , Qian Han , Xiaochen Wang , Qiaoling Yu , Zhigang Xie , Huan Li
{"title":"Metagenomics reveals rare and abundant resistome had different resistance and transmission risk in park environment","authors":"Jie Bi , Xueying Gan , Chenwei Shi , Qian Han , Xiaochen Wang , Qiaoling Yu , Zhigang Xie , Huan Li","doi":"10.1016/j.eti.2025.104112","DOIUrl":"10.1016/j.eti.2025.104112","url":null,"abstract":"<div><div>Urban parks are essential to human life and provide a potential pathway for the spread of antibiotic resistance genes (ARGs) from the environment to humans. However, there are few studies to investigate the risk of ARGs in urban parks, particularly ARGs with different distributions. In this study, we used metagenomics, 16S rRNA gene sequencing and physiochemical properties testing to investigate the profiles of abundant and rare ARGs with different distributions from soil and water in nine urban parks, and then assessed their risk and colonization in the human gut by comparing them with the intestinal resistome of local residents. The results showed that abundant ARGs had higher potential transmission risk, but rare ARGs posed stronger resistance risk, host pathogenic risk and were more likely to colonize the human gut. Notably, rare ARGs contained more high-risk ARGs that may colonize humans. Network analysis showed rare ARGs in water maintain stability of ARGs co-occurrence network. Abundant ARGs were mainly dominated by nutritional factors (e.g., TS), whereas rare ARGs were mainly driven by bacterial community diversity. This study revealed that ARGs in urban parks pose different ecological risk to humans and provided a theoretical basis for public health and environmental management in urban parks.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"38 ","pages":"Article 104112"},"PeriodicalIF":6.7,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Samantha S. Romanick , Gregory Madejski , Garrett Cashion , Andrew J. Berger , Alison Elder , James McGrath
{"title":"Assessment of household settled dust via silicon nanomembrane analysis pipeline (SNAP)","authors":"Samantha S. Romanick , Gregory Madejski , Garrett Cashion , Andrew J. Berger , Alison Elder , James McGrath","doi":"10.1016/j.eti.2025.104106","DOIUrl":"10.1016/j.eti.2025.104106","url":null,"abstract":"<div><div>Humans spend 70–90 % of their time indoors. However, there is a significant lack of knowledge regarding human exposure to microplastic particles and fibers (MPs) within the indoor environment. Fibers comprise more than 90 % of household settled dust worldwide and have been found in indoor air. Studies have identified MPs larger than 50 μm in indoor dust, but little information is available regarding smaller airborne or settled particles. We have developed methods to detect plastic particles that are larger than 10 μm in settled household dust by distinguishing plastic from cellulosic, proteinaceous, and inorganic particles using Nile Red to stain for plastics and Trypan Blue to stain for cellulosic materials while proteinaceous and inorganic materials remain unstained but visible via transmission light microscopy on ultrathin silicon nitride nanomembranes. This method, which we term the Silicon Nanomembrane Analysis Pipeline (SNAP), allows household settled dust and other sample types to be collected and analyzed on nanomembranes by multiple modes of metrology <em>in situ</em>, avoiding the need to transfer particles to different substrates for capture vs. analysis. Specifically, particles analyzed by fluorescence staining and optical imaging was followed by polymer identification via Raman spectroscopy and subsequently characterized via scanning electron microscopy for size and surface morphology. Using this innovative approach, microplastic particles larger than 10 μm in diameter have been identified in all settled dust samples.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"38 ","pages":"Article 104106"},"PeriodicalIF":6.7,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jade Winjei Hwang , Wan-Ting Huang , Chia-Jung Li , Ching-Shu Tsai , Wen-Jiun Chou , Chih-Cheng Chen , Sheng-Yu Lee , Liang-Jen Wang
{"title":"Endocrine-disrupting chemicals and clinical outcomes in children with attention-deficit/hyperactivity disorder undergoing methylphenidate treatment: A 12-month follow-up study","authors":"Jade Winjei Hwang , Wan-Ting Huang , Chia-Jung Li , Ching-Shu Tsai , Wen-Jiun Chou , Chih-Cheng Chen , Sheng-Yu Lee , Liang-Jen Wang","doi":"10.1016/j.eti.2025.104111","DOIUrl":"10.1016/j.eti.2025.104111","url":null,"abstract":"<div><div>Endocrine-disrupting chemicals (EDCs) can interfere with the endocrine system and may influence the risk of developing attention-deficit/hyperactivity disorder (ADHD). In this 12-month prospective study, we examined trends in EDC exposure and their association with neurocognitive changes in children diagnosed with ADHD. We recruited 83 children with ADHD and 80 healthy controls, measuring urinary levels of various EDCs, including mono-methyl phthalate (MMP), monoethyl phthalate (MEP), mono-n-butyl phthalate (MnBP), monobenzyl phthalate (MBzP), monoethylhexyl phthalate (MEHP), methylparaben (MP), ethylparaben (EP), propylparaben (PP), butylparaben (BP), and bisphenol-A (BPA). ADHD symptoms and cognitive performance were assessed using the ADHD-Rating Scale (ADHD-RS), Conners' Continuous Performance Test 3rd Edition (CPT3), and Conners' Continuous Auditory Test of Attention™ (CATA). At baseline, children with ADHD had significantly higher levels of MnBP and MEHP compared to healthy controls. Over the 12-month methylphenidate treatment, children with ADHD showed an increase in MEP levels and a decrease in MnBP, MEHP, MP, and BPA levels. ADHD-RS scores were negatively correlated with urinary MEP levels and positively correlated with MP levels. Additionally, CATA omission errors were positively associated with MnBP levels, while detectability errors were positively correlated with MEHP levels. These findings suggest that EDC levels in children with ADHD fluctuate during treatment and are associated with changes in ADHD symptoms and neuropsychological performance. This study provides valuable insights into the evolving relationship between EDC exposure and ADHD symptoms during treatment, contributing to the evaluation of potential health risks and informing public health policy development.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"38 ","pages":"Article 104111"},"PeriodicalIF":6.7,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xingqi Zhu, Xiaojing Yin, Lu Jiang, Jun Li, Wentao Li, Aimin Li
{"title":"Understanding the impact of chemical composition and environmental factors on phosphorus species distribution in rivers: A large-scale study in Taihu Lake Basin","authors":"Xingqi Zhu, Xiaojing Yin, Lu Jiang, Jun Li, Wentao Li, Aimin Li","doi":"10.1016/j.eti.2025.104114","DOIUrl":"10.1016/j.eti.2025.104114","url":null,"abstract":"<div><div>To effectively remove phosphorus from rivers, there has been increasing attention on the various phosphorus species present. However, the factors influencing the distribution of these species have not been systematically investigated. This study examines the effects of chemical composition and environmental factors on phosphorus species distribution by analyzing river samples and conducting simulation experiments. Results indicated that phosphorus predominantly exists in particulate (33.24 −206.58 μg/L) and colloidal phases (7.91 −62.95 μg/L). Notable correlations were observed between metallic elements and inorganic phosphorus (IP) (R = 0.67 −0.88), as well as between organic carbon (OC) and organic phosphorus (OP) (R = 0.76 −0.82). Further analyses revealed that metal elements are electrostatically bound to IP, while OP is primarily produced alongside OC during organic matter decomposition. The study also highlights the influence of anions in water, which facilitate phosphorus release from particulate and colloidal forms. The examination of environmental factors revealed that both warming and anaerobic conditions led to an increase in various phosphorus species. However, the increase in particulate was less pronounced compared to the colloidal and dissolved phases. Notably, under aerobic conditions, phosphorus from the colloidal and dissolved phases is converted into particulate. These findings enhance our understanding of the distribution of phosphorus species and provide valuable insights for the eutrophication management.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"38 ","pages":"Article 104114"},"PeriodicalIF":6.7,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}