Building and Environment最新文献

{"title":"Assessing the probability density function of urban wind-induced risk under typhoon conditions","authors":"Ruoping Chu ,&nbsp;Xiaoxue Wang ,&nbsp;Lei Peng ,&nbsp;Jian Hang ,&nbsp;Yasemin D. Aktas ,&nbsp;Kai Wang","doi":"10.1016/j.buildenv.2025.113255","DOIUrl":"10.1016/j.buildenv.2025.113255","url":null,"abstract":"<div><div>In the context of climate change, tropical cyclones (typhoons) of increasing frequency and intensity have become one of the primary challenges to cities located in the relevant geographic context. Enhancing these cities’ adaptability to climate risks and mitigating the catastrophic impacts of tropical cyclones require a thorough understanding of urban flow with extreme approaching wind conditions. This study employed Computational Fluid Dynamics (CFD) methods, in particular Embedded Large Eddy Simulation (ELES), to reconstruct the flow field in a real heterogeneous urban building complex featuring mixed low-rise buildings, and applied a statistical approach based on the 3-parameter Weibull distribution (3 W) to examine the probability density function (PDF) of wind-induced risks under typhoon conditions. Results showed that, with a fixed reference wind speed, the typhoon-condition pedestrian-level wind (PLW) environment strongly deteriorates due to larger upstream terrain roughness. Normalized time-averaged and extreme velocity at pedestrian level can increase locally up to 2.0 and 3.0 respectively with upstream terrain roughness length of 0.30 m, in contrast to 1.25 and 1.75 with that of 0.01 m. The building morphology however, does not significantly influence the PLW. There was a significant difference in the vertical variation of PDFs between different building morphologies. Deterioration of PLW brings higher wind-induced risk to pedestrians. Moreover, simple and steady criterion of identifying wind-induced risks proved to be insufficient. Apart from practical findings, this study demonstrated a feasible workflow of integrated statistical extraction of urban gust wind and wind-induced risk based on CFD results, while reducing the potential uncertainties brought by empirical methods. Such research workflow could be further applied to support city-scaled simulation and climate-disaster early-warning.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"282 ","pages":"Article 113255"},"PeriodicalIF":7.1,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144270391","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":"City-scale assessment of outdoor heat shelter availability under climate change conditions: a simulation-based methodology","authors":"Damien David ,&nbsp;Marjorie Salles","doi":"10.1016/j.buildenv.2025.113238","DOIUrl":"10.1016/j.buildenv.2025.113238","url":null,"abstract":"<div><div>The paper proposes a new methodology for assessing the availability of outdoor heat shelters in cities during future hot summer days. Heat shelters are identified on 1 meter resolution physiological equivalent temperature (PET) fields obtained with SOLWEIG simulations. Input weather data are representative hot summer days (RHSDs) which are processed from an analysis of future weather projections, for three stages of climate change evolution. The heat shelter availability is assessed through three indicators: the heat sheltering status, the heat shelter area per capita, and the heat sheltering performance. In this way, the methodology makes it possible to assess the time evolution of the heat shelters availability, over the course of the day and over the century, in large urban areas, for different levels of protection against heat. The methodology is applied to the city of Lyon. In this city, heat shelters will not provide thermal comfort; they will at most protect against heat stress exposure. During the core of the day, at the end of the century, heat shelters are exclusively located in shaded areas with sufficient ventilation and low exposure to reflected solar radiation. Locations under large patches of continuous tree cover or at the foot of building façades without overlooks fulfill these conditions. In the parks, the daytime average heat shelter area is proportional to the surface of the tree canopy.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"282 ","pages":"Article 113238"},"PeriodicalIF":7.1,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144281060","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":"Sound insulation improvements in lift-and-slide window systems","authors":"Umberto Berardi,&nbsp;Claudio Ivona,&nbsp;Roberto Stasi","doi":"10.1016/j.buildenv.2025.113258","DOIUrl":"10.1016/j.buildenv.2025.113258","url":null,"abstract":"<div><div>In recent years, significant attention has been directed towards enhancing indoor comfort in buildings, with acoustic comfort emerging as a key area of study. The sound insulation properties of building façades have a considerable influence on acoustic comfort, with glazing system often representing the most critical components. Meanwhile, the ever increasing demand for larger window surfaces to improve visual comfort, has led to a growing prevalence of thermal break lift-and-slide systems. The choice of window frame design for this window system is of paramount importance to achieve high sound insulation performance, as this depends on the closure system, the frame cross section, and the glass configuration in the frame. This paper aims to highlight critical issues of large sliding windows, exploring the acoustic performance of a lift-and-slide window through experimental assessments according to the ISO 10140 standard. The weighted sound reduction index (R_w) was assessed in laboratory; then, several modifications were implemented to improve the acoustic performance of lift-and-slide windows. Notably, the incorporation of sound-absorbing materials within the upper section of the frame yielded an R_w enhancement of 2 dB on average. Conversely, deficiencies such as improper glass orientation or improper frame closure systems led to R_w reductions of up to 4 dB. Finally, this study underlines the critical issues identified during the tests and provides practical recommendations to mitigate common installation errors.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"282 ","pages":"Article 113258"},"PeriodicalIF":7.1,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144270389","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":"Hybrid AI model for fault detection and energy consumption analysis of air handling unit systems with supervised and unsupervised learning","authors":"Seungkeun Yeom,&nbsp;Juui Kim,&nbsp;Taehoon Hong","doi":"10.1016/j.buildenv.2025.113272","DOIUrl":"10.1016/j.buildenv.2025.113272","url":null,"abstract":"<div><div>Previous studies have primarily conducted fault detection based on datasets built in ideal laboratory environments. However, these datasets have limitations when applied to real-world air handling unit (AHU) operational data, which often contains missing values and noise and lacks clearly labeled faults. Additionally, there is still a lack of research quantitatively analyzing the impact of faults on building energy consumption. Accordingly, this study utilized real-world building operation data to predict faults in AHU systems and examined their relationship with energy consumption. We developed an optimized fault detection model for data with labeled faults using supervised learning methods, specifically long short-term memory (LSTM) and bidirectional LSTM (Bi-LSTM). For unlabeled fault data, we applied an unsupervised learning model, LSTM Autoencoder, to derive anomaly scores, which were validated using heat transfer efficiency, proportional-integral-derivative (PID) control performance, and CO₂ concentration. Furthermore, we employed Granger causality analysis and the Vector Autoregression (VAR) model to assess the significance of fault occurrences and their impact on energy consumption. The results showed that among the supervised learning models, Bi-LSTM outperformed LSTM in fault detection accuracy. Meanwhile, the unsupervised model effectively predicted performance degradation and energy consumption impacts by leveraging anomaly scores. This study features the potential for real-time optimization of building energy efficiency through the proposed approach, which can be applied to real-time AHU fault detection and predictive maintenance, helping to minimize energy consumption and maximize long-term operational efficiency in buildings.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"282 ","pages":"Article 113272"},"PeriodicalIF":7.1,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144263076","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":"Fault diagnosis method for data imbalance in chiller systems based on CWGAN-GP and DS evidence theory fusion","authors":"Liang Zhao ,&nbsp;Shaokun Kang ,&nbsp;Sungmin Yoon ,&nbsp;Jiteng Li ,&nbsp;Peng Wang","doi":"10.1016/j.buildenv.2025.113271","DOIUrl":"10.1016/j.buildenv.2025.113271","url":null,"abstract":"<div><div>Fault diagnosis of chillers in real-world scenarios is frequently hindered by data imbalance, leading to degraded diagnostic accuracy. To address this challenge, this study systematically investigates the application of traditional generative adversarial networks (GANs) and their variants, including conditional GAN (CGAN) and Wasserstein GAN with gradient penalty (CWGAN-GP), for generating fault-specific synthetic data. By comparing the diagnostic performance of balanced datasets constructed using different generative approaches, the superiority of CWGAN-GP is experimentally validated. In addition, due to the certain randomness of the generated samples, directly using them may reduce the learning ability of the model. Therefore, a strict screening method is needed to select higher-quality samples for dataset expansion. In this study, a high-quality sample screening method integrated with the DS evidence theory is proposed, and the Multi-Layer Perceptron (MLP) and Light Gradient Boosting Machine (LightGBM) are used as evidence sources to obtain the highest accuracy and F1 scores. The experimental results show that under the condition of limited real fault data, the comprehensive performance of fault diagnosis is improved through the data generation and screening process of CWGAN-GP-DS. Specifically, in the comparative experiment of the generative model, the diagnostic accuracy of CWGAN-GP after achieving data balance is 1.40 %-4.31 % higher than that of GAN and CGAN. Meanwhile, when the number of real fault samples is 20, the accuracy and F1 coefficient of the diagnostic model reach 81.58 % and 81.33 % respectively, which is an improvement of 7.56 % and 7.68 % compared with the original unbalanced situation. When the number of real fault samples is 50, they reach 91.89 % and 91.86 % respectively, which is an improvement of 2.34 % and 2.24 % compared with the original unbalanced situation. Finally, the screening method integrated with the DS evidence theory also highlights its advantages in QCP, ELQCP and SSL. The improvement in accuracy reaches 1.32 %-9.3 %, and the improvement in the F1 coefficient reaches 1.11 %-9.5 %. Although with the increase in the number of real samples, the training of the diagnostic model gradually matures and the improvement effect of the proposed method decreases, it can still effectively improve the diagnostic accuracy problem in scenarios with imbalanced and few samples in the overall situation. Experimental results from the ASHRAE Research Project RP-1043 validate the robustness of the CWGAN-GP-DS method in imbalanced data environments. This systematic combination of synthetic data generation and evidence-based quality control provides a reliable solution for chiller fault diagnosis under challenging conditions.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"282 ","pages":"Article 113271"},"PeriodicalIF":7.1,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144241345","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":"Thermal management of photovoltaic systems using cascade phase change material module","authors":"Tingting Wu ,&nbsp;Lianjian Mo ,&nbsp;Guiyang Ye ,&nbsp;Yanxin Hu ,&nbsp;Changxiang Fan ,&nbsp;Mingjiang Zeng ,&nbsp;Shuting Cai ,&nbsp;Mengjie Song","doi":"10.1016/j.buildenv.2025.113270","DOIUrl":"10.1016/j.buildenv.2025.113270","url":null,"abstract":"<div><div>The phase change material (PCM) cooling technology has been recognized as one of the effective methods for reducing the operating temperature of photovoltaic (PV) cells and enhancing photoelectric conversion efficiency (PCE). However, the issue of slow thermal response in traditional phase change modules has posed a significant barrier to their large-scale application. To address this, a heat transfer-storage model for PV was established to investigate their temperature characteristics and thermal generation properties, based on which a cascade phase change material thermal management module (cas-SCPCM) was proposed. Among them, the PCM was comprised of paraffin (PA), expansion graphite (EG), polyethylene octene co-elastomers (POE), ethylene-ethylene-butadiene-styrene (SEBS), and carbon nanotubes (CNTs), and its thermal control performance was analyzed. The results indicated that during the operation of the PV cells, approximately 50 % of the absorbed solar energy was converted into thermal energy, leading to a temperature increase. Under various irradiance intensities, the cas-SCPCM demonstrated superior thermal control performance compared to traditional single-layer phase change material thermal management modules. At an irradiance intensity of 2000 W/m², the temperature of the cas-SCPCM photovoltaic cell was reduced by 34.6 %, and the PCE was increased by 27.1 %. Compared with the traditional phase change modules, the cas-SCPCM enables PV to exhibit better electrical output performance, providing valuable guidance for low-energy PV building integration.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"282 ","pages":"Article 113270"},"PeriodicalIF":7.1,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144241343","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":"Comparison of indoor thermal comfort of the elderly in urban, suburban rural and mountainous rural areas in South China karst","authors":"Xinzhi Gong ,&nbsp;Sha Lai ,&nbsp;Qinglin Meng ,&nbsp;Mattheos Santamouris ,&nbsp;Yilei Yu ,&nbsp;Lei Zhang","doi":"10.1016/j.buildenv.2025.113260","DOIUrl":"10.1016/j.buildenv.2025.113260","url":null,"abstract":"<div><div>The South China karst region features typical, complex, and diverse karst landscapes, influencing the local climate and the lifestyle of the inhabitants. This study explores the thermal comfort and behavioral adaptation of elderly people in naturally ventilated dwellings across three different topographies in the South China karst region during both summer and winter: an urban area (Guilin City), a suburban rural area (Jiangtou village and its surrounding villages), and a mountainous rural area (Dayuan village). The findings reveal that residential buildings in rural areas generally represent worse indoor thermal conditions both in summer and winter than the residential buildings in the urban area. The neutral temperatures for the elderly in urban, suburban rural, and mountainous rural areas were 26.04°C, 26.89°C, and 25.37°C in summer respectively; while 18.91°C, 18.69°C, and 17.75°C in winter respectively. The acceptable indoor air temperature ranges for 80 % satisfaction were 17.86°C ∼ 28.31°C (urban), 12.80°C ∼ 30.03°C (suburban rural) and 11.61°C ∼ 31.99°C (mountainous rural). Results show that rural elderly residents are more tolerant of hot and cold indoor thermal conditions and have a wider range of acceptable temperatures compared to urban elderly people. In addition, urban and rural elderly people have different heating and cooling measures and adaptive behaviors to thermal environments. Huotang rooms are unique heating facilities for traditional houses in mountainous rural areas.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"282 ","pages":"Article 113260"},"PeriodicalIF":7.1,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144263074","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":"Examining the physiological strain with electric fans during high indoor heat stress","authors":"Emily Mihalcin ,&nbsp;Stefano Schiavon ,&nbsp;Nicholas Ravanelli","doi":"10.1016/j.buildenv.2025.113261","DOIUrl":"10.1016/j.buildenv.2025.113261","url":null,"abstract":"<div><div>Fans have been positioned as a low-cost, sustainable, and accessible heat resilience solution during extreme heat. Many health agencies caution against fan use when air temperature exceeds skin temperature (e.g. ≥35°C) suggesting they will accelerate body heating compared to still air. However, the increased evaporative efficiency with a fan likely mitigates greater rises in core temperature and cardiovascular strain compared to still air when the air temperature is &gt;35°C. The present study evaluated the physiological responses with and without fans when indoor air temperature exceeded skin temperature to elucidate the safe upper limit. In a randomized crossover design, 10 healthy adults (4 females, 24±4 y, 1.8±0.1 m, 75.8±10.1 kg) were exposed to a simulated indoor overheating scenario whereby air temperature increased linearly from 38°C to 47°C over 3 hours, with a fan (∼5.5 m/s) or still air (&lt;0.2 m/s). Heart rate and core temperature were significantly greater with a fan compared to still air when air temperature was ≥44°C and ≥45°C, respectively. Mean skin temperature and skin blood flow were statistically higher with a fan. While a fan increased whole-body sweat rate, the additional sweating can be counterbalanced with increased fluid intake (∼250 mL/h at 43°C) to mitigate dehydration. In conclusion, fans result in a higher heart rate or core temperature compared to still air in healthy adults when indoor air temperature &gt;43°C; ∼3-11°C greater than guidance from various health agencies globally. Future work in other age groups and heat-vulnerable populations is needed, including field-based evaluation.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"282 ","pages":"Article 113261"},"PeriodicalIF":7.1,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253886","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":"Automated fault diagnosis detection of air handling units using real operational labelled data and transformer-based methods at 24-hour operation hospital","authors":"Seunghyeon Wang","doi":"10.1016/j.buildenv.2025.113257","DOIUrl":"10.1016/j.buildenv.2025.113257","url":null,"abstract":"<div><div>Automated Fault Detection and Diagnosis (AFDD) in Air Handling Units (AHUs) is essential for maintaining indoor air quality and extending the lifespan of HVAC systems. However, previous research has frequently been constrained by limited access to real operational data, primarily due to difficulties in data collection and complexities associated with accurate fault annotation. Additionally, transformer-based methods remain underutilized in AFDD applications despite their proven effectiveness in related domains. In this study, AHUs equipped with Constant Air Volume (CAV) systems operating continuously in a 24-hour hospital environment were specifically investigated. Data were collected over a one-year period using nine different sensors installed across eight AHUs. Four operational conditions were identified: normal operation and three distinct types of faults. Three transformer-based models—TFT, Informer, and Autoformer—were proposed and optimized through comprehensive hyperparameter tuning, resulting in the evaluation of a total of 792 models. Additionally, 1076 models based on seven traditional machine learning methods were optimized and evaluated. A detailed comparative analysis revealed that the Autoformer model outperformed all other evaluated methods, achieving an F1 score of 96.21 % and an accuracy of 96.02 %. Moreover, the Autoformer demonstrated efficient performance, capable of processing approximately 37.88 instances per second. The potential practical applications and implications of these findings for real-world operational conditions are further discussed in this research.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"282 ","pages":"Article 113257"},"PeriodicalIF":7.1,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144263751","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":"Resistance reduction method for building transmission and distribution systems based on an improved random forest model: A tee case study","authors":"Ao Tian ,&nbsp;Wanqing Zhang ,&nbsp;Junjun Hei ,&nbsp;Yao Hua ,&nbsp;Xiaozhi Liu ,&nbsp;Jianxun Wang ,&nbsp;Ran Gao","doi":"10.1016/j.buildenv.2025.113256","DOIUrl":"10.1016/j.buildenv.2025.113256","url":null,"abstract":"<div><div>Building transmission and distribution systems account for more than 1/3 of building energy consumption. Local components are common in building transmission and distribution systems, and their resistance effect significantly increases energy consumption. The development of low-resistance local components is a beneficial way to solve this problem. Taking tees as an example, this paper proposes a resistance reduction method that uses an improved random forest model and provides dimensionless shape optimization parameters for tees with different area ratios. Through full-scale experiments, numerical simulations and energy dissipation analyses, the resistance reduction effects and mechanisms of the optimized tees are verified and analyzed. The results show that under different working conditions, optimized tees can simultaneously reduce the local resistance in the main line and branch line. The resistance reduction rate of the main line can reach 26 %–106 %, and the resistance reduction rate of the branch line can reach 9 %–145 %. Optimizing tees can significantly reduce energy dissipation in internal flow fields. Previous studies on resistance reduction have focused mainly on rectangular components that can be reduced to two dimensions and have adopted mostly a priori trial and error methods. This study proposes an a posteriori resistance reduction method for circular components, providing a reference for energy conservation and carbon reduction in buildings.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"282 ","pages":"Article 113256"},"PeriodicalIF":7.1,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240805","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}