Review
Materials Science, Multidisciplinary
Mohamad Bayat, Olga Zinovieva, Federico Ferrari, Can Ayas, Matthijs Langelaar, Jon Spangenberg, Roozbeh Salajeghe, Konstantinos Poulios, Sankhya Mohanty, Ole Sigmund, Jesper Hattel
Summary: Additive manufacturing (AM) and topology optimization (TO) are a good combination, but TO-designed complex geometries often have process-related defects. Advanced AM process simulations can predict these defects, making it possible to consider TO and process simulations as one holistic computational design tool. This paper provides a thorough overview of this concept applied in AM.
PROGRESS IN MATERIALS SCIENCE
(2023)
Article
Computer Science, Interdisciplinary Applications
Zhi Yuan, Jingxian Liu, Yi Liu, Qian Zhang, Yue Li, Zongzhi Li
Summary: This study proposes a two-stage modelling method to enhance the accuracy and efficiency of daily water level prediction for multiple stations in inland rivers. By clustering the stations and using appropriate models, the results show that this method yields more reliable forecasts than traditional deterministic models.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Education & Educational Research
Diane Hockridge, Matt Bower
Summary: This study examines the impact of online learning on student holistic formation and suggests that purposeful learning design can facilitate this process in online and distance learning contexts.
DISTANCE EDUCATION
(2023)
Article
Computer Science, Artificial Intelligence
Jinyuan Liu, Guanyao Wu, Junsheng Luan, Zhiying Jiang, Risheng Liu, Xin Fan
Summary: This paper proposes a novel holistic and local constraint algorithm called HoLoCo based on contrastive learning for multi-exposure image fusion. It aims to solve the problems of finding optimal parameters for fusion networks, blurring or missing structure or texture information in generated HDR results, and low color saturation during the fusion process. Experimental results demonstrate that HoLoCo can continuously generate visually appealing HDR results with precise detail and vivid color rendition, outperforming existing MEF approaches.
INFORMATION FUSION
(2023)
Article
Chemistry, Multidisciplinary
Muhammad Umair, Muhammad Zubair, Farhan Dawood, Sarim Ashfaq, Muhammad Shahid Bhatti, Mohammad Hijji, Abid Sohail
Summary: Urdu is a widely spoken and narrated language in several South-Asian countries and communities worldwide. However, recognizing Urdu text is relatively difficult due to its cursive writing style. This research study presents a methodology to recognize and classify Urdu text in Nastaleeq font, achieving an overall accuracy of 97.47%, outperforming existing techniques.
APPLIED SCIENCES-BASEL
(2022)
Article
Development Studies
Guanfu Fang, Ying Zhu
Summary: This paper examines the long-term effects of a school meal program on individuals' cognitive and health outcomes in rural China. The study finds that early exposure to the program significantly improved children's cognitive and health outcomes in the long run, with stronger effects observed among children from low-socioeconomic status families. Short-term improvements in nutrient intakes and mothers' labor market performance are identified as potential mechanisms. The findings suggest that school nutrition programs can be an important investment in children's long-run human capital.
Article
Public, Environmental & Occupational Health
Alisha H. Redelfs, Madeleine Smith, Jacinda A. Merrill, Shannon Grimsley, Hollyann E. Jenkins, Jacqueline S. Tederick, Amanda G. Butler, Kirsten Dueck, Margy Eastham Thomas, David A. Perez, Leah D. Whigham
Summary: This article presents the framework of Commit to Be Fit (C2BF) as an example of how schools can integrate multi-level and holistic approaches for health. The C2BF intervention includes activities addressing individual, home, school, and community to create a culture of wellness. Leadership engagement and alignment were critical elements for C2BF's success.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Engineering, Environmental
Shuo Yang, Kai Ding, Wei Wang, Tianyi Wang, Huiling Gong, Dengkun Shu, Ze Zhou, Long Jiao, Bowen Cheng, Yonghao Ni
Summary: Template-assisted electrospinning was used to fabricate multi-level microstructured pressure sensors with exceptional performance and industrial relevance.
CHEMICAL ENGINEERING JOURNAL
(2022)
Review
Thermodynamics
Gautam Raina, Sunanda Sinha
Summary: This review paper provides a systematic flow of information on different aspects of bifacial photovoltaic technology, including cell concepts, design options, module characteristics, performance modeling, and field issues. It also introduces future concepts and potential applications for improving the performance and reliability of bifacial modules.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Chemistry, Multidisciplinary
Jason Y. C. Tam, Tim Lorsbach, Sebastian Schmidt, Joerg S. Wicker
Summary: The prediction of metabolism and biotransformation pathways of xenobiotics is important in various fields. Existing prediction systems may not account for specific challenges like missing transformation products in low concentrations or evaluate performance solely based on defined rules. A new evaluation framework is introduced in this paper to address these challenges and improve performance metrics.
JOURNAL OF CHEMINFORMATICS
(2021)
Article
Computer Science, Artificial Intelligence
Na Lu, Zhiyan Cui, Huiyang Hu, Tao Yin
Summary: This paper proposes a novel multi-view and multi-level network for machine fault diagnosis, which learns cross-domain common features and domain-specific features through two separate network channels. Experiments demonstrate that the network achieves state-of-the-art performance on transfer tasks.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Robotics
Ziye Hu, Zhongxue Gan, Wei Li, Weikun Guo, Xiang Gao, Jiwei Zhu
Summary: Despite recent advances in few-shot classification, object detection, or speech recognition, training a robot to adapt to new environments with limited data remains a long-standing challenge. This study proposes a novel and effective meta-learning framework that utilizes multi-level and multi-attention mechanisms to enhance the model's performance.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Engineering, Mechanical
Xinyu Jia, Costas Papadimitriou
Summary: A hierarchical Bayesian learning framework is proposed for multi-level modeling in structural dynamics, which can effectively quantify uncertainties at different modeling levels and propagate them through the system.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Environmental
Xufeng Zhang, Jingxin Wang, Michael P. Strager
Summary: A data-driven holistic analysis framework was developed to support the industrial development of forest biomass for bioenergy. The framework integrated four components including biomass feedstock analysis, bioenergy production analysis, suitability assessment, and socio-economic impacts evaluation. The study conducted a case analysis for forest biomass to pellet fuel in the U.S. Mid-Atlantic region, revealing the spatial distribution of biomass potential and identifying key factors affecting bioenergy industry development. The results provide important insights and guidance for promoting the regional bioeconomy.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Computer Science, Artificial Intelligence
Lirong Wu, Haitao Lin, Jun Xia, Cheng Tan, Stan Z. Li
Summary: This paper proposes a novel Multi-level Disentanglement Graph Neural Network (MD-GNN) framework that achieves edge-level, attribute-level, and node-level disentanglement in an end-to-end manner. Extensive experiments demonstrate that MD-GNN achieves encouraging results in disentanglement and downstream tasks.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Construction & Building Technology
Yufan Zhang, Hasim Altan
BUILDING AND ENVIRONMENT
(2011)
Article
Construction & Building Technology
Yufan Zhang, Peter Barrett
BUILDING AND ENVIRONMENT
(2012)
Article
Construction & Building Technology
Yufan Zhang, Peter Barrett
BUILDING AND ENVIRONMENT
(2012)
Article
Construction & Building Technology
Peter Barrett, Yufan Zhang, Joanne Moffat, Khairy Kobbacy
BUILDING AND ENVIRONMENT
(2013)
Article
Construction & Building Technology
Peter Barrett, Yufan Zhang
INTELLIGENT BUILDINGS INTERNATIONAL
(2012)
Article
Construction & Building Technology
Peter Barrett, Lucinda Barrett, Yufan Zhang
INTELLIGENT BUILDINGS INTERNATIONAL
(2016)
Article
Construction & Building Technology
Peter Barrett, Yufan Zhang, Lucinda Barrett
INTELLIGENT BUILDINGS INTERNATIONAL
(2011)
Article
Management
Yufan Zhang, Peter Barrett
Article
Construction & Building Technology
Parth Bansal, Steven Jige Quan
Summary: This study investigates the relationship between urban form and canopy layer urban heat island (CUHI) using a relatively large sample of microclimate sensors in Seoul, Korea. The study compares different statistical models and finds that the spatially explicit gradient boosting decision tree (GBDT) model has the highest accuracy. The study also shows that the effect of urban form on CUHI varies at different time instances during the day. These findings provide valuable insights for planners to understand the complexity of urban climate and reduce CUHI magnitude.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Miaomiao Liu, Salah Almazmumi, Pinlu Cao, Carlos Jimenez-bescos, John Kaiser Calautit
Summary: Windcatchers provide effective low-energy ventilation and summer passive cooling in temperate climates. However, their use in winter is limited due to significant ventilation heat loss and potential discomfort. This study evaluates the applicability of windcatchers in low-temperature conditions, highlighting the need for control strategies to reduce over-ventilation and the integration of heat recovery or thermal storage to enhance winter thermal conditions.
BUILDING AND ENVIRONMENT
(2024)
Review
Construction & Building Technology
Behrouz Nourozi, Aneta Wierzbicka, Runming Yao, Sasan Sadrizadeh
Summary: This article presents a systematic review of ventilation solutions in hospital wards, aiming to enhance pathogen removal performance while maintaining patient and healthcare staff comfort using air-cleaning techniques. The study reveals the importance of proper ventilation systems in reducing infection risk and adverse effects of cross-contamination.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Zhen Yang, Weirong Zhang, Hongkai Liu, Weijia Zhang, Mingyuan Qin
Summary: The study examines the influence of personalized local heating on the thermal comfort of occupants in old residential buildings. The findings reveal that personalized local heating can increase the overall thermal sensation of occupants, but only a few methods are effective in enhancing thermal comfort. The chosen heating methods and background temperature affect the participants' selection of heating parts.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Hong Cheng, Dan Norback, Huilin Zhang, Liu Yang, Baizhan Li, Yinping Zhang, Zhuohui Zhao, Qihong Deng, Chen Huang, Xu Yang, Chan Lu, Hua Qian, Tingting Wang, Ling Zhang, Wei Yu, Juan Wang, Xin Zhang
Summary: The home environment and sick building syndrome (SBS) symptoms in five southern Chinese cities have been studied over time. The study found a decrease in asthma prevalence and an increase in allergic rhinitis. Cockroaches, rats, mice, mosquitoes or flies were identified as consistent biological risk factors for SBS symptoms, while redecoration, buying new furniture, and traffic air pollution were identified as other risk factors.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Chaojie Xing, Zhengtao Ai, Zhiwei Liu, Cheuk Ming Mak, Hai Ming Wong
Summary: This study experimentally investigated the emission characteristics of droplets around the mouth during dental treatments. The results showed that the peak mass fraction of droplets occurs within the size range of 20 μm to 100 μm, and droplets with a diameter less than 200 μm account for over 80% of the mass fraction. The dominant emission direction of droplets is towards the dummy's head and chest, forming an approximately cone shape.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Zhijian Liu, Zhe Han, Lina Hu, Chenxing Hu, Rui Rong
Summary: This study compared the effects of different respiratory behaviors on the distribution of aerosols in a ward and the risk of infection for healthcare workers using numerical simulation. It was found that talking in the ward significantly increased aerosol concentrations, particularly short periods of talking. Wards designed with side-supply ventilation had lower overall infection risk. Talking alternately between healthcare workers and patients slightly extended the impact time of aerosols.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yan Yan, Mengyuan Kang, Haodong Zhang, Zhiwei Lian, Xiaojun Fan, Chandra Sekhar, Pawel Wargocki, Li Lan
Summary: In a high-density city, opening windows for sleep may lead to increased indoor temperature, higher PM2.5 concentration, and noise disturbance, which can negatively impact sleep quality.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yan Bai, Liang Liu, Kai Liu, Shuai Yu, Yifan Shen, Di Sun
Summary: This study developed a non-intrusive personal thermal comfort model using machine learning techniques combined with infrared facial recognition. The results showed that the ensemble learning models perform better than traditional models, and the broad learning model has a higher prediction precision with lower computational complexity and faster training speed compared to deep neural networks. The findings provide a reference for optimizing building thermal environments.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yue Lei, Zeynep Duygu Tekler, Sicheng Zhan, Clayton Miller, Adrian Chong
Summary: Mixed-mode ventilation is a promising solution for achieving energy-efficient and comfortable indoor environments. This study found that occupants can thermally adapt when switching between natural ventilation (NV) and air-conditioning (AC) modes within the same day, with the adaptation process stabilizing between 35 to 45 minutes after the mode switch. These findings are important for optimizing thermal comfort in mixed-mode controls, considering the dynamic nature of thermal adaptation.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Nan Mo, Jie Han, Yingde Yin, Yelin Zhang
Summary: This study develops a method based on the LCZ framework for a comprehensive evaluation of urban-scale heat island effects, considering the impact of geographic factors on LST. The results show that Guilin's geomorphological conditions lead to abnormal heat island effects during winter, and the cooling effects of mountains and water bodies vary seasonally in different built areas, with LCZ 2 exhibiting the strongest cooling effect.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Tunga Salthammer
Summary: Monitoring the potential formaldehyde emission of wood-based materials through test chamber investigations has significantly contributed to reducing indoor formaldehyde concentrations. However, the different methodologies used in these procedures prevent direct result comparison. Empirical models for converting formaldehyde steady-state concentrations based on temperature, humidity, air change rate, and loading were developed in the 1970s and have been modified to accommodate the development of lower-emitting materials. Formaldehyde emissions from wood-based materials are complex and require nonlinear regression tools for mathematical analysis.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Katarina Stebelova, Katarina Kovacova, Zuzana Dzirbikova, Peter Hanuliak, Tomas Bacigal, Peter Hartman, Andrea Vargova, Jozef Hraska
Summary: This study investigated the impact of reduced short-wavelength light on the hormone melatonin metabolite 6-sulfatoxymelatonin (u-sMEL) and examined the association between previous day's light exposure and u-sMEL. It was found that reducing short-wavelength light during the day did not change the concentration of u-sMEL. Personal photopic illuminance was positively correlated with u-sMEL in the reference week. The illuminance had a significant impact on u-sMEL, as shown by the evaluation of the mean of all three urine samples. However, this correlation was not found in the experimental week.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Ruoxin Xiong, Ying Shi, Haoming Jing, Wei Liang, Yorie Nakahira, Pingbo Tang
Summary: This study proposes a data-model integration method to identify and calibrate uncertainties in machine learning models, leading to improved thermal perception predictions. The method utilizes the Multidimensional Association Rule Mining algorithm to identify biased human responses and enhances prediction accuracy and reliability. The study also evaluates different calibration techniques and discovers their potential in enhancing prediction reliability.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Beichao Hu, Zeda Yin, Abderrachid Hamrani, Arturo Leon, Dwayne McDaniel
Summary: This paper introduces an innovative super-resolution approach to model the air flow and temperature field in the cold aisle of a data center. The proposed method reconstructs a high-fidelity flow field by using a low-fidelity flow field, significantly reducing the computational time and enabling real-time prediction.
BUILDING AND ENVIRONMENT
(2024)