Article
Thermodynamics
Chao Liu, Yalin Zhang, Limei Sun, Weijun Gao, Xiaotong Jing, Weirui Ye
Summary: The study found that undergraduate students performed best in indoor environments with 40% relative humidity and 24 degrees Celsius, with relative humidity having a greater impact on learning performance than air temperature. Low humidity environments decreased overall learning performance, emphasizing the importance of considering relative humidity when designing learning spaces.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Microbiology
Haoxiang Wu, Jonathan Woon Chung Wong
Summary: Indoor temperature is not as important as relative humidity during dry periods in affecting the resistance of mold to wet-dry cycles.
Article
Engineering, Environmental
Fan Luo, Xianghui Liang, Weicheng Chen, Shuangfeng Wang, Xuenong Gao, Zhengguo Zhang, Yutang Fang
Summary: In this study, a simple and efficient method for reducing energy consumption in established buildings is introduced. The solar-driven humidity-controlled ceramic fiber allows for moisture collection at night and adsorbed-water release during daytime, thereby maintaining stable indoor humidity.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Construction & Building Technology
Tuomas Raunima, Anssi Laukkarinen, Antti Kauppinen, Mihkel Kiviste, Eero Tuominen, Joonas Ketko, Juha Vinha
Summary: Measurements of indoor air temperature and relative humidity in schools and day-care centers in Finnish municipal buildings with mechanical ventilation showed that the indoor air was too dry, which can have negative effects on the air quality experienced by users.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Sheng Zhang, Zhang Lin
Summary: Relative humidity is an important factor for thermal comfort. However, the current ventilation performance index, Effective Draft Temperature (EDT), does not consider the influence of relative humidity. This study proposes a new index, Effective Moisture Temperature (EMT), which takes into account the effects of air temperature and relative humidity on thermal comfort. The accuracy of EMT is significantly higher compared to EDT, especially under low air movement conditions. The study also introduces Effective Draft and Moisture Temperature (EDMT) for elevated air movement, further improving the accuracy of thermal comfort analysis.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Zili Yang, Weiyi Zhang, Xi Lin, Qian Xiong, Qingwen Jiang
Summary: This study investigates the effects of minor LiCl addition on the fundamental properties, hygroscopic performance, and moisture buffering ability of gypsum in daily and weekly humidity fluctuations. Results showed that minor addition of LiCl (1%-8%) significantly improves the gypsum board's properties and hygroscopic performance. The LiCl-modified composites can absorb and desorb moisture repeatedly without hysteresis. Modeling analysis demonstrates that these composites effectively control indoor humidity and achieve energy-saving effects. Based on the results, a LiCl-mixing-ratio of around 4% is proposed as the optimum, providing remarkable moisture buffering and energy-saving capabilities.
BUILDING AND ENVIRONMENT
(2023)
Article
Agriculture, Dairy & Animal Science
Elanchezhian Arulmozhi, Jayanta Kumar Basak, Thavisack Sihalath, Jaesung Park, Hyeon Tae Kim, Byeong Eun Moon
Summary: This study investigates the use of machine learning models to predict indoor air temperature and relative humidity in barns and their impact on productivity parameters, finding that random forest regression models perform better in this regard.
Article
Construction & Building Technology
Sandra Martinez-Marino, Pablo Eguia-Oller, Enrique Granada-Alvarez, Aitor Erkoreka-Gonzalez
Summary: Buildings are expected to be energy efficient, comfortable, and durable, which are influenced by indoor relative humidity. Controlling and predicting indoor environmental conditions is necessary. Simulating indoor temperature and relative humidity in a multi-zone building model can improve accuracy of building energy simulations and ensure occupants' comfort and health.
BUILDING AND ENVIRONMENT
(2021)
Article
Construction & Building Technology
Younhee Choi, Doosam Song, Akihito Ozaki, Haksung Lee, Sowoo Park
Summary: As social interest in energy welfare increases, support programs and policies for fuel poverty are steadily being implemented. Energy subsidies play a significant role in improving indoor thermal conditions affected by fuel poverty, but a balance between energy welfare and energy saving policies is needed.
ENERGY AND BUILDINGS
(2022)
Article
Infectious Diseases
Hao Lei, Mengya Yang, Zhaomin Dong, Kejia Hu, Tao Chen, Lei Yang, Nan Zhang, Xiaoli Duan, Shigui Yang, Dayan Wang, Yuelong Shu, Yuguo Li
Summary: This study aimed to investigate the impact of indoor and outdoor relative humidity (RH) on influenza transmission in temperate and subtropical climates. The findings showed a U-shaped relationship between indoor RH and the effective reproduction number (Rt) of influenza in both regions, while no correlation was observed between outdoor RH and Rt. These results suggest that indoor RH may play a key role in the seasonality of influenza in temperate and subtropical locations in China.
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
(2023)
Article
Thermodynamics
Alison J. Robey, Laura Fierce
Summary: In temperate climates, the peak in infection rates of enveloped viruses during the winter is likely heightened by seasonal variation in relative humidity within indoor spaces. Relative humidity impacts the seasonal transmission via inactivation rates rather than particle removal.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2022)
Article
Computer Science, Information Systems
Yunqi Sun, Yong Zhang, Da Guo, Xiuyong Zhang, Yuyang Lai, Danfeng Luo
Summary: This paper proposes a distributed temperature and humidity control framework based on deep reinforcement learning to improve the precision and uniformity of indoor temperature and humidity. Experimental results demonstrate that the approach reduces adjustment time and energy consumption, while enhancing the control system's anti-interference capability.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Thermodynamics
Ghafi Kondi-Akara, Benoit Hingray, Baptiste Francois, Arona Diedhiou
Summary: Using a new non-stationary analytical framework, this study estimates the factors that contribute to the daily and long-term variations in per-capita electricity consumption in twelve cities in West and Central Africa, with a special focus on the impact of weather. Temperature is found to be a crucial driver, explaining 25% to 70% of the variability, regardless of the local climate. Humidity also plays a significant role, particularly in Sahelian cities with pronounced seasonality. The findings highlight the non-stationary nature of electricity demand behavior in these cities, with increasing base consumption and normalized weather sensitivities over time.
Article
Meteorology & Atmospheric Sciences
Nicholas J. Lutsko
Summary: Increases in the severity of heat stress extremes are potentially one of the most impactful consequences of climate change, affecting human comfort, productivity, health, and mortality in many places on Earth. The study found that understanding regional changes in specific humidity is largely sufficient for understanding regional changes in heat stress, with the pattern of specific humidity changes driving the regional pattern of theta(E) changes.
JOURNAL OF CLIMATE
(2021)
Article
Construction & Building Technology
Changcheng Chen, Jingjing An, Chuang Wang, Xiaorong Duan, Shiyu Lu, Hangyu Che, Meiwei Qi, Da Yan
Summary: Indoor temperature and relative humidity control in office buildings is crucial for thermal comfort, work efficiency, and occupant health. Conventional control methods often overlook the impact of indoor relative humidity by focusing solely on temperature. This study proposes a deep reinforcement learning algorithm for adjusting the air supply volume of fan coil units (FCUs) in office buildings, considering both temperature and relative humidity. The algorithm was trained, tested, and evaluated using a simulation environment model, and its results showed improved control satisfaction rates compared to traditional controllers.
Article
Computer Science, Information Systems
Wenjun Lin, Ming Xu, Jingyi He, Wenjun Zhang
Summary: This paper investigates the issues of security, privacy, and resilience in mobile applications for health service systems. It proposes a set of design principles that integrate these concepts effectively. A case study is presented to demonstrate the application of these principles in a mobile healthcare application.
ENTERPRISE INFORMATION SYSTEMS
(2023)
Article
Engineering, Industrial
Zhuming Bi, Yan Jin, Paul Maropoulos, Wen-Jun Zhang, Lihui Wang
Summary: This paper investigates the impact of enterprise architecture on system capabilities in dealing with changes and uncertainties in globalized business environments, and proposes a new enterprise architecture to enhance system flexibility, resilience, and adaptability.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Geological
Zhouxiang Ding, Wenjun Zhang, Zhe Wang, Zhenhao Zhang, Zhaohui Yang, Shanyong Wang
Summary: This paper defines four fundamental concepts for saturated geomaterials under normal and high pressures using the general effective stress (GES) concept. The four concepts include buoyant force, submerged unit weight, seepage force, and critical hydraulic gradients. By comparing four typical GES expressions and their impacts on the definition of the four concepts, the results suggest their profound significance for geotechnical applications and the need for further validation.
INTERNATIONAL JOURNAL OF GEOMECHANICS
(2023)
Article
Chemistry, Multidisciplinary
Lujia Ding, Zheng Fang, Michael A. J. Moser, Wenjun Zhang, Bing Zhang
Summary: This study developed a mathematical model to investigate the evolution of pores during cell electroporation. The simulation results showed a sigmoid increase in pore area ratio (PAR) over time, indicating a cumulative effect of PAR. Additionally, the relationship between high-frequency irreversible electroporation (H-FIRE) parameters and the cumulative effect of PAR was established, allowing for effective design of cell ablation protocols.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Wenjun Lin, Paul Babyn, Yan Yan, Wenjun Zhang
Summary: This paper presents a new scheduling problem for patient visits that aims to minimize patient waiting time and travel time. A novel encoding method for Genetic Algorithms (GA) is proposed, which is found to reduce optimization iterations by 17% compared to conventional methods. The GA can significantly decrease waiting time by up to 58.2% and travel time by up to 89.3% for specific examples. The main contributions of this work are the novel scheduling problem and the proposed encoding method.
ENTERPRISE INFORMATION SYSTEMS
(2023)
Review
Chemistry, Analytical
Alireza Farahinia, Wenjun Zhang, Ildiko Badea
Summary: The treatment of cancers is a significant challenge in healthcare today, and the separation and extraction of signals from circulating tumor cells (CTCs) is crucial for determining cancer progression and developing individualized treatments. Microfluidic devices show promise as a solution to this problem.
Review
Polymer Science
Anthony Tony, Ildiko Badea, Chun Yang, Yuyi Liu, Garth Wells, Kemin Wang, Ruixue Yin, Hongbo Zhang, Wenjun Zhang
Summary: This paper provides a comprehensive review on the fabrication of PDMS microfluidic devices using additive manufacturing (AM) processes. Two approaches, direct printing and indirect printing, are classified. The focus of the study is on the printed mold approach, which involves casting PDMS materials with a printed mold. The paper also identifies knowledge gaps, proposes future work, and develops a novel classification of AM processes.
Article
Polymer Science
Yulin Hu, Dasheng Yang, Hongbo Zhang, Yang Gao, Wenjun Zhang, Ruixue Yin
Summary: A silver-doped Concanavalin A (Con A)-based hydrogel sensor is proposed as an ideal continuous glucose monitoring system for diabetic patients. It demonstrates good glucose-responsive ability and high linearity within a large detection range, making it excellent among existing enzyme-free glucose sensors.
Article
Polymer Science
Anthony Tony, Ildiko Badea, Chun Yang, Yuyi Liu, Kemin Wang, Shih-Mo Yang, Wenjun Zhang
Summary: This study presents a simple and effective method to enhance the bonding strength between polydimethylsiloxane (PDMS) and PDMS using isopropyl alcohol (IPA). The results showed that our method significantly improved the irreversible bonding strength of PDMS-to-PDMS, up to 3.060 MPa for natural-cured PDMS and 1.373 MPa for heat-cured PDMS, while the best bonding strength with the existing method in literature is 1.9 MPa.
Article
Computer Science, Artificial Intelligence
Tan Zhang, Zihe Wang, Fengwei Li, Haoyang Zhong, Xuejuan Hu, Wenjun Zhang, Dan Zhang, Xiaoxu Liu
Summary: This paper presents a novel deep learning method that can detect a wide variety of defects based on small datasets. The method combines deep random chains with adaptive Faster R-CNN to improve the model's generalization for small sample datasets with diverse defects.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Polymer Science
Tianzhou Hu, Zhengwei Cai, Ruixue Yin, Wenjun Zhang, Chunyan Bao, Linyong Zhu, Honbo Zhang
Summary: Biofabrication is essential for contemporary tissue engineering, with the primary challenge being the replication of both external organ geometries and internal structures simultaneously. This study addresses this problem by introducing a novel 3D printing strategy using a thermo-reversible supporting bath that can be easily removed. The technology is capable of printing hydrated materials with diverse crosslinked mechanisms and replicating the external geometry of native tissues and organs from computed tomography data. The study also demonstrates the ability to fabricate intricate capillary networks using a nozzle with a reduced line size due to the extra force exerted by the supporting bath.
Article
Chemistry, Analytical
Qize Fang, Shuchen Cao, Haotian Qin, Ruixue Yin, Wenjun Zhang, Hongbo Zhang
Summary: Flexible piezoresistive sensors built by printing nanoparticles onto soft substrates are crucial for continuous health monitoring and wearable devices. In this study, a mechanomyography (MMG) sensor was developed using a flexible piezoresistive MMG signal sensor based on a pyramidal polydimethylsiloxane (PDMS) microarray sprayed with carbon nanotubes (CNTs). The experiment was conducted, and the results show that the sensitivity of the sensor can reach 0.4 kPa(-1) in the measurement range of 0 similar to 1.5 kPa, and the correlation reached 96%. This has further implications for the possibility that muscle activation can be converted into mechanical movement. The integrity of the sensor in terms of its MMG signal acquisition was tested based on five subjects who were performing arm bending and arm extending movements. The results of this test were promising.
Article
Robotics
Haojie Chen, Zifan Wang, Xiaoxu Liu, Wenke Ma, Qiang Wang, Wenjun Zhang, Tan Zhang
Summary: This paper addresses the problem of relative position-based formation planning for a leader-follower multi-robot setup. It proposes a virtual sub-target-based obstacle avoidance method and a changing formation strategy to adjust the relative distance between the followers and the leader. The backstepping-based sliding motion controller ensures accurate trajectory and velocity tracking.
Article
Automation & Control Systems
Qing Lu, Yue Feng, Ki-Young Song, Wen-Jun Zhang
Summary: In this article, a simple three-dimensional printable micro/macro dual driving multipede millirobot was developed to achieve both high precision and high velocity. By employing bio-inspired titled legs through the concept of anisotropic friction, the millirobot effectively switched between micro and macro motions to satisfy the desired precision and velocity. Various external and internal conditions were examined to investigate their effects on the locomotory modes of the millirobot. The millirobot achieved a step resolution of 2 μm in micromotion and a maximum mobile velocity of 800 mm/s in macromotion, demonstrating its capabilities for high precision and high velocity.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Chen Wu, Hangming Huang, Yongfang Liu, Lingchao Chen, Shuangquan Yu, Michael A. J. Moser, Wenjun Zhang, Zheng Fang, Bing Zhang
Summary: This study demonstrates the feasibility of conformal microwave ablation of liver tumors by optimizing the structure of an aperiodic tri-slot coaxial antenna, its insertion depth, and input power. The computational model and experiments validate the effectiveness of the optimized parameters in achieving conformal ablation of liver tumors, regardless of their size and shape.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
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)
