Building and Environment最新文献

{"title":"Clustering-derived prototypical spectral profiles of glazing for energy, daylighting, and circadian performance","authors":"Neda Ghaeili Ardabili,&nbsp;Julian Wang","doi":"10.1016/j.buildenv.2026.114239","DOIUrl":"10.1016/j.buildenv.2026.114239","url":null,"abstract":"<div><div>Window systems’ spectral profiles influence energy use, daylight availability, and circadian-effective light; however, standard performance metrics rely on single-parameter, integrated values that do not capture the underlying spectral behavior governing these outcomes. This study develops a representative spectral library for architectural glazing through a two-stage clustering framework applied to 6269 spectral power distributions (SPDs) from the International Glazing Database. Using K-means, hierarchical clustering, and Gaussian Mixture Models, and evaluating with the Davies–Bouldin Index, Silhouette Score, WCSS, EVR, and CHI, the dataset is reduced to 25 prototypical SPDs that achieve an average coverage ratio of 70.1% of the spectral patterns in current glazing products. A new circadian-focused design metric, Spatial Circadian Daylight Autonomy (sCDA), is introduced to quantify the spatial and temporal distribution of melanopic daylight. This metric, together with spatial daylight autonomy and ENERGY STAR criteria, is used to assess the representative glazing systems, assembled as insulated glazing units and evaluated across four ENERGY STAR climate zones. Results indicate that the North-Central climate zone is less sensitive to variations in glazing spectral behavior, with 44% of samples meeting all three performance criteria simultaneously. Overall, the study produces a reproducible, data-driven spectral library that supports future research and practical window selection.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"291 ","pages":"Article 114239"},"PeriodicalIF":7.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146024699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Minimal modification to displacement ventilation for significant improvement through air redistribution","authors":"Zi Cheng ,&nbsp;Jingkai Wang ,&nbsp;Zhenying Zhang ,&nbsp;Hao Simone Wang ,&nbsp;Yibin Lu ,&nbsp;Zekai Mu ,&nbsp;Jian Liu ,&nbsp;Zhang Lin","doi":"10.1016/j.buildenv.2026.114254","DOIUrl":"10.1016/j.buildenv.2026.114254","url":null,"abstract":"<div><div>Due to its excellent performance in energy efficiency and air quality, displacement ventilation has become a standard in many existing buildings. However, traditional solutions of ventilation system replacement for improving its performance are often difficult to implement due to high costs and invasive construction work. This study aims to propose and validate a non-invasive retrofit concept of air redistribution to address this issue. Specifically, an integrated ventilation and air purification system is introduced and validated to overcome the limitation. By designing the airflow patterns of the integrated system, this approach not only enhances indoor environmental quality but also reduces energy consumption. Full-scale experiments are conducted, and computational fluid dynamics simulations are performed to provide further insight into airflow patterns. The findings indicate that the retrofit provides a thermal environment approaching thermal neutrality while reducing vertical temperature difference to a negligible degree. The retrofit decreases the mean air age at the breathing zone by 14%. Furthermore, the retrofit enhances the energy utilisation coefficient by 15%. The air redistribution concept proposed in this study provides a novel theoretical framework and technical approach for upgrading existing ventilation systems under strict structural constraints.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"291 ","pages":"Article 114254"},"PeriodicalIF":7.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146024793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing Trade-off Between Pollutant Exposure and Energy Consumption in Buildings: Uncertainty Informed Reinforcement Learning and Robustness Analysis of Control Policies","authors":"Nishchaya Kumar Mishra ,&nbsp;Sameer Patel","doi":"10.1016/j.buildenv.2026.114224","DOIUrl":"10.1016/j.buildenv.2026.114224","url":null,"abstract":"<div><div>Intelligent control systems are crucial for ensuring occupants' comfort and minimizing exposure to indoor pollutants. At the same time, these systems must optimize the building's energy use. Recent research in building science and control has demonstrated the advantages of reinforcement learning (RL) agents over their physics-based and rule-based counterparts in optimizing indoor environment dynamics. While previous studies have shown that RL agents can be transferred across buildings, ensuring their robustness and reliability is essential for such transfer to be effective in real-world applications. Consequently, this study analyzes the robustness of the decision-making ability of a deep Q network (DQN)-based RL agent and estimates the uncertainties in the predicted actions using the Monte Carlo (MC) dropout approach. The performance of twelve action selection policies (MC-DQN1 to MC-DQN12) has been assessed in terms of associated particulate matter (PM) exposure and energy consumption, with the traditional DQN (TradDQN) serving as the benchmark. The analysis reveals substantial variability in average exposure among different MC-DQNs for various emission activities, with variations ranging from -23% to +34% during high-emission activities. Finally, fractional exposures corresponding to different indoor PM levels (≤ 10, 11–20, 21–30, 31–40, and &gt; 40 µg m^-3) have been estimated to identify the specific periods during which these MC-DQNs underperform. Barring a few MC-DQNs that effectively reduced exposure at high PM levels (&gt; 40 µg m^-3), other agents struggled to bring the PM levels to the desired level.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"291 ","pages":"Article 114224"},"PeriodicalIF":7.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental and simulation study on the synergistic delivery characteristics of heat, moisture, and oxygen in high-altitude office environments","authors":"Weibin Gao ,&nbsp;Weixue Cao ,&nbsp;Yixuan Zhang ,&nbsp;Kexin Yang ,&nbsp;Mengnan Ruan ,&nbsp;Xuchun Wei ,&nbsp;Zipeng Li ,&nbsp;Feng Shi ,&nbsp;Jilin Feng ,&nbsp;Bin Yang","doi":"10.1016/j.buildenv.2026.114212","DOIUrl":"10.1016/j.buildenv.2026.114212","url":null,"abstract":"<div><div>The low oxygen, low temperature, and low humidity conditions prevalent in indoor environments at high altitudes can adversely affect personnel health and work efficiency. A control method was proposed in this study to deliver a multi-parameter coupled airflow, which was optimized for heat, humidity, and oxygen, directly to the facial breathing zone. This was achieved by positioning the oxygen supply terminals at specific locations above the workstation computer. An integrated experimental and numerical simulation approach was employed to investigate the effects of key supply air parameters on the localized environment, leading to the identification of the optimal operating conditions. It was demonstrated that this method successfully elevated the workspace oxygen concentration to 22.81% (from a 20% baseline) under optimal thermal-humidity conditions, while indoor humidity was stabilized at 0.072 kg/m³. Furthermore, an average oxygen enrichment velocity of 2.05% per minute and an personal oxygen inhalation efficiency of 64.12% were achieved. An effective technical solution for localized precision control in high-altitude office environments was presented in this study.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"291 ","pages":"Article 114212"},"PeriodicalIF":7.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145947963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Projecting decarbonization of hospitality buildings in cold climate: Dynamic simulation of hybrid EPS and WWHPs system under shifting energy demands","authors":"Mohamed G. Ghorab ,&nbsp;Antonio Rosato","doi":"10.1016/j.buildenv.2026.114236","DOIUrl":"10.1016/j.buildenv.2026.114236","url":null,"abstract":"<div><div>Climate change is expected to significantly alter building energy demand patterns, particularly in cold regions where heating traditionally dominates. This study addresses the question of how future climatic conditions will impact the energy and environmental performance of advanced geothermal systems in hospitality buildings. To investigate this, a novel hybrid configuration integrating Energy Pile Systems (EPSs) with water-to-water heat pumps (WWHPs) was applied to an 18,000 m² hotel in Ottawa, Canada. Dynamic simulations were conducted using projected climate data for 2050 and 2080 under multiple Representative Concentration Pathways (RCPs). Results indicate a substantial decline in heating demand, with heating degree days decreasing by up to 27.1 %, while cooling requirements rise sharply, with summer cooling degree days increasing by as much as 225.6 %. These shifts influence electrical loads, as Monthly Electrical Peak Intensity (MEPI) decreases during transitional seasons but increases in summer, contributing to an overall reduction in annual electrical Energy Use Intensity (EUI) of up to 4.8 % and a similar decrease in Emission Intensity (EI), contingent on future grid emission factors. The findings underscore the critical role of utility decarbonization in achieving climate targets and highlight the need for adaptive design strategies. This research provides a forward-looking framework for integrating climate resilience and sustainability into hospitality building operations, offering actionable insights for long-term energy planning and environmental impact mitigation.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"291 ","pages":"Article 114236"},"PeriodicalIF":7.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145975826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Precooling effectiveness in residential buildings during heatwaves with power outages: A sensitivity and parametric analysis","authors":"Xue Liu ,&nbsp;Hao Tang ,&nbsp;Xuyuan Kang ,&nbsp;Pengyuan Shen ,&nbsp;Xin Zhou ,&nbsp;Da Yan","doi":"10.1016/j.buildenv.2026.114235","DOIUrl":"10.1016/j.buildenv.2026.114235","url":null,"abstract":"<div><div>Climate change is increasing the frequency and intensity of heatwaves, often accompanied by power outages that exacerbate indoor overheating and threaten human health. Precooling is a potential mitigation strategy for indoor overheating risks; however, few studies have systematically explored the impact of building design, cooling capacity, and power-outage events on its performance. This study proposes an optimized precooling thermostat schedule using Bayesian optimization to minimize thermal discomfort and cooling electricity costs. Based on this strategy, Sobol sensitivity and parametric analyses were conducted to explore the effects and interactions of building design parameters, cooling capacity, and power outage characteristics on thermal discomfort and electricity costs. A prototype high-rise residential building in Chengdu, China, was used as a case study. The results showed that thermal discomfort during power outages was primarily influenced by external wall insulation, airtightness and internal thermal mass, whereas cooling electricity cost was mainly affected by airtightness. Furthermore, the contribution of the internal thermal mass to reducing thermal discomfort increased with cooling capacity, whereas the influence of airtightness diminished. This suggests that coordinated optimization between cooling capacity and internal thermal mass is more effective than merely oversizing the cooling system. Regarding power outage impacts, the optimized precooling strategy maintained acceptable indoor comfort for approximately 6 h during morning outages, while only 2 h during afternoon outages. These findings offer practical guidance for policymakers and residents seeking to maximize the benefits of precooling strategies during heatwaves with power outages.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"291 ","pages":"Article 114235"},"PeriodicalIF":7.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145975829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What moves the user? Multi-domain motivations behind window and blinds interactions from a user perspective in open-plan offices","authors":"Verena M. Barthelmes ,&nbsp;Caroline Karmann ,&nbsp;Viviana Gonzalez Serrano ,&nbsp;Arnab Chatterjee ,&nbsp;Kun Lyu ,&nbsp;Jan Wienold ,&nbsp;Marilyne Andersen ,&nbsp;Dusan Licina ,&nbsp;Dolaana Khovalyg","doi":"10.1016/j.buildenv.2025.114162","DOIUrl":"10.1016/j.buildenv.2025.114162","url":null,"abstract":"<div><div>Office employees are influenced by various environmental and contextual factors that prompt interaction with building interfaces, such as adjusting windows or blinds. These behaviours can impact predictions of buildings’ performance. While occupant behaviour models often rely on physical variables, they tend to overlook users’ actual motivations and how these interact. This study introduces a novel mobile application, OBdrive, that uniquely captures occupants’ motivations in real-time, offering direct insights into why users operate windows, blinds, and lights. <em>OBdrive</em> forms a central element of the eCOMBINE framework (“Interaction between energy use, COMfort, Behaviour and the INdoor Environment in office buildings”), applied across five monitoring campaigns in two open-plan offices in Switzerland. The analyses highlight the diverse range of motivations underlying occupants’ interaction with windows and blinds. In addition to single environmental drivers (e.g., 45 % of window-open actions in response to warm discomfort), multi-domain discomforts often act in combination to prompt adaptive behaviours (e.g., 32 % of the recorded opening windows actions were linked to the co-occurrence of warm discomfort and poor air quality). Occupants’ behaviour (e.g., window closing actions) can be linked to time-related and contextual factors, such as departing office and requirements from co-workers. The findings demonstrated that both explicit and “hidden” motivations (e.g., co-worker asked, save energy, mask noise) drive human–building interactions (HBIs), and that these motivations are rarely captured in traditional field studies. Therefore, the eCOMBINE framework, along with the <em>OBdrive</em> application, offers a means to unravel the combinations of motivations driving occupant behaviours in buildings.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"291 ","pages":"Article 114162"},"PeriodicalIF":7.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145948004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental evaluation of low-cost metal oxide volatile organic compounds sensors for indoor air quality monitoring","authors":"Xin Guo ,&nbsp;Jialei Shen ,&nbsp;Zhenlei Liu ,&nbsp;Bing Beverly Guo ,&nbsp;Daniel Love ,&nbsp;Peter J McKinney ,&nbsp;Jianshun Zhang","doi":"10.1016/j.buildenv.2026.114232","DOIUrl":"10.1016/j.buildenv.2026.114232","url":null,"abstract":"<div><div>Low-cost and portable volatile organic compound (VOC) sensors, such as metal oxide (MOx) sensors have been developed and implemented in many indoor environments. But there is a lack of comprehensive studies on how accurate and reliable these sensors are and how to interpret the data from such sensors. This study aims to address these gaps in knowledge and data by conducting a comprehensive evaluation of current low-cost VOC sensors. The performance and limitations of the sensors were assessed in terms of stability, sensitivity, accuracy, detection limits, and recovery time for 11 individual VOCs of indoor air quality (IAQ) concern including toluene, formaldehyde, acetone, dichloromethane, tetrachloroethylene, 1,1,1-trichloroethane, m-xylene, naphthalene, acetaldehyde, phenol, and benzene. A standard procedure was developed for investigating the sensors in a 50 L stainless steel chamber with various VOC concentration levels that are relevant to realistic indoor environmental conditions. A total of seven types of commercially available off-the-shelf sensors with different configurations of various operating temperatures and sleep cycles, were tested. Sensor’s performances were quantified and evaluated based on their sensitivity, accuracy and stability and were classified into three levels: high, medium and low performances. Results show that six sensors exhibited reliable detection capabilities for at least one of the following compounds: acetaldehyde, acetone, benzene, phenol, tetrachloroethylene, and toluene while the sensor’s performance level varied among the compounds and sensor configurations. Among 40 tested sensor-configuration pairs, 11 showed high performance for acetaldehyde detection, 10 for acetone, 5 for tetrachloroethylene, 1 each for benzene, phenol, and toluene, while others showed medium to low performance. The test results revealed the limitations of most existing low-cost sensors including poor compound specificity, low sensitivity, low stability and poor accuracy. Future improvements are needed on sensing materials, on-chip signal processing, and interpretation of sensor data for IAQ assessment. These findings will help develop guidance for selecting and using low-cost VOC sensors for IAQ monitoring and control as well as for new sensor development and evaluation.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"291 ","pages":"Article 114232"},"PeriodicalIF":7.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146024637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A quantitative model of indoor illuminance and light color combinations effects on different initial emotional states using physiological measures","authors":"Xuejiao Li ,&nbsp;Mincheol Whang ,&nbsp;Jing Zhang ,&nbsp;Hongguo Ren","doi":"10.1016/j.buildenv.2026.114233","DOIUrl":"10.1016/j.buildenv.2026.114233","url":null,"abstract":"<div><div>Quantitative analysis of how light color and illuminance interact to regulate different initial emotions is crucial for improving adaptive intelligent building lighting systems. This study employs event-related potentials (ERPs) from emotion-picture stimuli, brain connectivity metrics, and machine learning methods to investigate the interaction strategies for light color and illuminance in multidimensional emotional regulation across different initial emotion states, spanning physiological to perceptual dimensions. Participants (<em>N</em> = 33) completed the PAD subjective emotion questionnaire and a responsive visual emotion-picture stimuli task under 18 artificial lighting conditions. Results indicate that yellow 180 lx lighting most effectively regulates the valence dimension of negative emotions, while purple 100 lx lighting enhances arousal in positive emotions. Blue lighting at different illuminance levels demonstrates differential effects on attentional focus across emotional states. Illuminance and light color exhibit significant correlations with occipital P300 components and directly influence Fz-Pz brain connectivity metrics. Comparative results of emotion prediction models indicate that using a Multi-Layer Perceptron (MLP) enhances prediction accuracy for both the P300 component and brain connectivity metrics. This study holds significant implications for evaluating emotion and cognition based intelligent lighting systems and researching adaptive lighting systems for emotional regulation. It provides quantitative lighting parameter references for implementing emotional lighting strategies during the initial stages of lighting design.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"291 ","pages":"Article 114233"},"PeriodicalIF":7.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146024635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of clothing types on physiological and perceptual responses in hot and humid underground environments","authors":"Xingming Wang ,&nbsp;Yijiang Wang ,&nbsp;Wenbo Fan ,&nbsp;Chunli Sang ,&nbsp;Xiaojuan Lai","doi":"10.1016/j.buildenv.2026.114246","DOIUrl":"10.1016/j.buildenv.2026.114246","url":null,"abstract":"<div><div>The thermal environments encountered by miners in deep underground spaces become more severe as mining depth increases. The miners' work wear (MWW) further amplifies the risk of heat strain. This study aimed to elucidate the extent and mechanisms of physiological and perceptual indicators through a comparative analysis of the thermal responses of subjects wearing MWW versus summer sports clothing (SSC) in a hot and humid environment. Human trials were conducted within a climatic chamber, where subjects' thermophysiological and psychological parameters were measured. Additionally, the rating of perceived exertion (RPE), physiological strain index (PSI), and perceptual strain index (PeSI) were calculated. The results revealed that subjects wearing MWW exhibited heightened thermal physiological and perceptual responses. MWW led to increases in core temperature, mean skin temperature, total sweat loss, and heart rate by 0.35 °C, 0.72 °C, 194.61 g, and 11.82 bpm, compared to SSC conditions, respectively. MWW exacerbated respiratory perception and RPE, and increased the PSI and PeSI. It also diminished the reliability of predicting thermal physiological parameters through thermal perceptions. Furthermore, the rise in metabolic rate amplified the detrimental effects of MWW on salt ion loss, reaching 67.24 mmol/L under MWW versus 12.25 mmol/L under SSC. The impact of MWW on thermal comfort vote was more pronounced than its effect on thermal sensation vote. The findings could provide a foundation for the design of personal protective clothing, the optimization of ventilation strategy, and the management of heat strain in hot and humid underground environments.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"291 ","pages":"Article 114246"},"PeriodicalIF":7.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146024634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}