Article
Green & Sustainable Science & Technology
Cibele Eller, Mohamad Rida, Katharina Boudier, Caio Otoni, Gabriela Celani, Lucila Labaki, Sabine Hoffmann
Summary: Coconut oil shows great potential as a phase change material for building applications, especially in tropical and subtropical climates. It can provide year-round energy-saving benefits, with the need for a higher melting point during hotter months for optimal performance.
Article
Environmental Sciences
Simon Nativel, Emna Ayari, Nemesio Rodriguez-Fernandez, Nicolas Baghdadi, Remi Madelon, Clement Albergel, Mehrez Zribi
Summary: This study proposes two hybrid methodologies to improve soil moisture estimations, using various metrics and data for testing. The results indicate the effectiveness of the hybrid algorithms.
Article
Environmental Sciences
Ying Deng, Xiaoling Zhou, Jiao Shen, Ge Xiao, Huachang Hong, Hongjun Lin, Fuyong Wu, Bao-Qiang Liao
Summary: This study investigated the feasibility of different prediction models for estimating the occurrence of haloketones in water supply systems. The results showed that RBF and BP artificial neural networks outperformed linear/log linear models in terms of prediction ability, with RBF ANN demonstrating the capability to recognize complex nonlinear relationships between haloketones occurrence and water quality.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Saurabh Tewari, Umakant Dhar Dwivedi, Susham Biswas
Summary: The oil and gas industry is crucial for meeting the growing energy demand of humanity and requires advanced innovations to overcome challenges in drilling operations. This study proposes an automatic data-driven method for drill bit selection based on Optimum Penetration Rate (ROP), aiming to reduce human error and drilling costs. The model developed using Response Surface Methodology and Artificial Bee Colony is compared with existing models and can be applied in various geological fields for efficient drill bit selection.
Article
Materials Science, Multidisciplinary
Chunlei Lin, Junhui Zhou, Qianqian Lu, Mohamad Khaje Khabaz, Amirreza Karimi Andani, Mortatha Al-Yasiri, Guangyong Pan
Summary: One way to enhance thermal conduction in heating systems is to attach substances with high thermal conductivity to the base fluids. In this study, the thermal conductivity of WO3-CuO-Ag/water nanofluid is investigated and predicted using Artificial Neural Network and back-propagation algorithm. The results show that increasing the solid volume fraction and temperature leads to an increase in the thermal conductivity of the nanofluid.
MATERIALS TODAY COMMUNICATIONS
(2023)
Article
Geosciences, Multidisciplinary
Ali M. Rajabi, Mahdi Khodaparast, Mostafa Mohammadi
Summary: This study used an artificial neural network to conduct risk studies on landslides in the area affected by the Manjil-Rudbar earthquake in Iran in 1990. The results showed that the ANN method is relatively efficient for accurate prediction of landslides, covering 50% of the inventory map of the study area. The hazard map developed through Newmark displacement analysis was compared with other research findings, highlighting the effectiveness of the ANN approach.
Article
Energy & Fuels
Khaireldin Faraj, Mahmoud Khaled, Jalal Faraj, Farouk Hachem, Cathy Castelain
Summary: The study shows that coupling coconut oil-based PCM with systems can achieve load shifting and energy savings, but the effectiveness is affected by control methods, weather conditions, electricity tariff policies, as well as PCM positioning and types.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Juan Duan, Fan Li
Summary: Studies show that the porosity of metal foam has a greater influence on the melting and heat transfer of PCM than the pore density. The experimental results are used to train an ANN model that predicts various parameters of the PCM-porous system during the heat transfer process, and a classification ANN model is developed to predict the porosity of metal foam based on different variables.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Chemistry, Applied
Sabna Kotta, Hibah Mubarak Aldawsari, Shaimaa M. Badr-Eldin, Nabil A. Alhakamy, Shadab Md
Summary: Phytochemicals, particularly resveratrol, formulated into nanoemulsions through ultrasonication show promising potential for the treatment of neurodegenerative disorders. The nanoemulsion formulation demonstrated superior in vitro release and permeation properties, as well as high brain targeting efficacy in rat intranasal administration. Incorporation of resveratrol into nanoemulsions could be a promising alternative for managing Alzheimer's disease.
Article
Metallurgy & Metallurgical Engineering
Chunyu Guo, Jinzhuo Shi, Feng Ru, Chunyang Zhao, Enhui Wang, Tao Yang, Xinmei Hou
Summary: By training and employing BP-ANN, the multistage oxidation behavior of aluminum silicon carbide (Al4SiC4) was investigated, considering the oxidation temperature, time, and aspect ratio. The results showed that the BP-ANN model can accurately and efficiently simulate the oxidation behavior of Al4SiC4 powders with different reaction laws. In addition, the extrapolation ability of the BP-ANN model allows for maintaining high accuracy and expanding the experimental data to 1.2 times the original range with a coefficient of determination >= 0.801. By incorporating a real physical picture model developed by the research group, the experimental data can be further expanded to 2.2 times. This study provides a new path for understanding the oxidation behavior of materials with multistage oxidation.
STEEL RESEARCH INTERNATIONAL
(2023)
Article
Construction & Building Technology
Juan Bohorquez-Ordenes, Andres Tapia-Calderon, Diego A. Vasco, Oliver Estuardo-Flores, Assed N. Haddad
Summary: The underutilization of passive thermal conditioning alternatives, such as phase change materials (PCM), in Chile is mainly due to cultural and economic reasons, despite the climatic advantages in different regions of the country. A proposed optimized implementation methodology for PCM in a house belonging to the National Housing Monitoring Network in Santiago, Chile, aims to improve thermal comfort indexes and reduce thermal loads, ultimately leading to lower energy consumption and CO2 emission. Consideration of economic aspects is also crucial to promote PCM as a cost-effective passive alternative for thermal conditioning.
BUILDING AND ENVIRONMENT
(2021)
Article
Engineering, Environmental
Shu-Zhe Zhang, Shuo Chen, Hong Jiang
Summary: In this study, a high accuracy BPANN model was developed to predict denitrification efficiency using a 1-year operating database. The model can be applied to different treatment processes and can be adjusted by optimizing the training data ratio.
Article
Engineering, Multidisciplinary
Rishika Shah, R. K. Pandit, M. K. Gaur
Summary: This study focuses on the development and validation of an Artificial Neural Network (ANN) model for predicting hourly thermal comfort indices. The results show that the ANN model has excellent predictive ability and can accurately predict thermal comfort indices using a few input parameters such as air temperature.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Engineering, Environmental
Jia Win Chen, Yi Jing Chan, Senthil Kumar Arumugasamy, Sara Kazemi Yazdi
Summary: In this study, the performance of anaerobic digestion process was evaluated using supervised Machine Learning algorithms. Artificial neural network model was found to be superior to response surface methodology model in modeling methane yield and H2S concentration. Temperature and recirculation ratio were identified as the main interactive factors affecting methane yield. Process optimization using response surface methodology identified the optimum operating conditions resulting in the highest methane yield and the least H2S concentration. Sensitivity analysis revealed the substantial role of recirculation ratio in yielding more methane.
JOURNAL OF WATER PROCESS ENGINEERING
(2023)
Article
Construction & Building Technology
Lu Li, Yunfei Fu, Jimmy C. H. Fung, Huamin Qu, Alexis K. H. Lau
Summary: This study aims to propose a rapid prediction and optimization algorithm for indoor thermal comfort levels, while minimizing energy consumption to achieve a balance between thermal comfort and energy savings.
ENERGY AND BUILDINGS
(2021)
Article
Physics, Applied
Muhammad Ramzan, Jawad Ali, Nazia Shahmir, Hassan Ali S. Ghazwani, Kottakkaran Sooppy Nisar, C. Ahamed Saleel
Summary: This study numerically solves a set of ordinary differential equations to analyze the influence of a magnetic dipole on the flow of non-electrical conducting Oldroyd-B fluid. The effects of thermophoretic particle deposition and chemical reaction parameter on velocity, temperature, and concentration are examined. The model is validated in the limiting case.
INTERNATIONAL JOURNAL OF MODERN PHYSICS B
(2023)
Article
Physics, Applied
Muhammad Ramzan, Naila Shaheen, Hassan Ali S. Ghazwani, Kottakkaran Sooppy Nisar, C. Ahamed Saleel
Summary: This paper studies the flow of a chemical reactive Maxwell nanofluid in porous media, considering the temperature-dependent thermal conductivity and spinning cone conditions. The effects of various parameters on velocity, heat, and mass transfers are analyzed using numerical solutions and graphical representation.
INTERNATIONAL JOURNAL OF MODERN PHYSICS B
(2023)
Article
Multidisciplinary Sciences
Muhammad Amar, Naveed Akram, Ghulam Qadar Chaudhary, Salim Newaz Kazi, Manzoore Elahi M. Soudagar, Nabisab Mujawar Mubarak, Md Abul Kalam
Summary: The use of solar energy is a prominent strategy for addressing energy management challenges. Flat plate solar collectors, powered by nanofluids, are shown to have improved thermal efficiency compared to conventional heat transfer fluids. This research examines the effects of a novel green nanofluid on the performance of flat plate solar collectors.
SCIENTIFIC REPORTS
(2023)
Article
Green & Sustainable Science & Technology
Elumalai Perumal Venkatesan, Parthasarathy Murugesan, Sri Veera Venkata Satya Narayana Pichika, Durga Venkatesh Janaki, Yasir Javed, Z. Mahmoud, C. Ahamed Saleel
Summary: This study investigates the use of microalgae biodiesel as a substitute fuel for compression ignition (CI) engines by altering injection timing and adding antioxidants. The results show that fuel blend B20 + 30% BHA (25 bTDC) achieves significant reductions in smoke, HC, and CO emissions compared to diesel fuel. Additionally, it exhibits the highest brake thermal efficiency of 14.52% at peak load condition. A multi-output regression deep long short-term memory (MDLSTM) model is designed to predict the performance and emissions of CI engines operating with different fuel mixtures.
Article
Green & Sustainable Science & Technology
Ahmed Sule, Zulkarnain Abdul Latiff, Mohd Azman Abas, Ibham Veza, Manzoore Elahi M. Soudagar, Irianto Harny, Vorathin Epin
Summary: This study investigates the impact of magnetite dispersed in butanol and added to blends of palm biodiesel and diesel on engine behavior for emissions and performance. Results show that the addition of magnetite and butanol reduces emissions and improves performance compared to ordinary blends, with higher dosage of magnetite yielding better results. The best sample was found to have 150 ppm magnetite in butanol added at 10% to B30, which showed higher brake thermal efficiency and lower fuel consumption than other samples. An artificial neural network model successfully predicted the performance and emissions of the dual fuel application.
Article
Chemistry, Multidisciplinary
Vivek Pandey, Irfan Anjum Badruddin, Sarfaraz Kamangar, Addisu Bekele Alemayehu
Summary: Diesel fuel blends with biodiesels can mitigate the rising price and demand of conventional fuels, as well as reduce engine emissions. The addition of CeO2 nanoparticles in Calophyllum Inophyllum methyl ester biodiesel (CIMEBD) improves engine performance and emissions. Ceria NP-doped biodiesel shows better engine performance and lower emissions compared to diesel-biodiesel (BD) blend, with optimum ceria NP size in the range of 20-40 nm.
Review
Mathematics
Mohd Faruq Abdul Latif, Nik Nazri Nik Ghazali, M. F. Abdullah, Norliza Binti Ibrahim, Roziana M. Razi, Irfan Anjum Badruddin, Sarfaraz Kamangar, Mohamed Hussien, N. Ameer Ahammad, Azeem Khan
Summary: Obstructive sleep apnea syndrome (OSAS) is a potentially dangerous disease that is often treated with non-reversible surgical techniques like maxillomandibular advancement (MMA). Computational fluid dynamic (CFD) is widely used to understand the flow mechanism in the human upper airways (UA). However, there are contradictory studies on the use of CFD for OSAS research. Therefore, a systematic literature search was conducted to understand the requirement for OSAS CFD investigation and provide necessary recommendations for accurately modeling the UA as an ideal predictive method before mandibular advancement surgery.
Article
Mathematics
Ali Najem Alkawaz, Jeevan Kanesan, Anis Salwa Mohd Khairuddin, Irfan Anjum Badruddin, Sarfaraz Kamangar, Mohamed Hussien, Maughal Ahmed Ali Baig, N. Ameer Ahammad
Summary: This work proposes an improved method of training neural networks based on optimal control theory. By adapting the learning rate, the proposed algorithm overcomes the local minima problem of backpropagation and achieves better accuracy and shorter training time compared to the conventional method. The effectiveness of the algorithm is verified on various logic gate models and a full adder model.
Review
Energy & Fuels
Atul Bhattad, Vinay Atgur, Boggarapu Nageswar Rao, N. R. Banapurmath, T. M. Yunus Khan, Chandramouli Vadlamudi, Sanjay Krishnappa, A. M. Sajjan, R. Prasanna Shankara, N. H. Ayachit
Summary: Nano fluids, including hybrid nano-coolants, are extensively used in energy-related applications such as coolants, refrigerants, and fuel additives. This review article focuses on the hydrothermal behavior of heat exchangers (radiators for engine applications) with mono/hybrid nanofluids. It discusses the preparation and properties of hybrid nanofluids, innovative methodologies for higher heat transfer rates, and applications in engine radiators and fuel additives.
Article
Energy & Fuels
Vivek Pandey, Kiran Hanmanthrao Shahapurkar, Suresh Guluwadi, Getinet Asrat Mengesha, Bekele Gadissa, Nagaraj Ramalingayya Banapurmath, Chandramouli Vadlamudi, Sanjay Krishnappa, T. M. Yunus Khan
Summary: The sustainability of energy supply is a growing concern due to decreasing conventional fossil fuel supply and increasing energy demand. Environmental impact and emissions reduction targets are driving the research and application of sustainable and non-polluting fuels. Biogas and hydrogen are considered as alternatives, but both have disadvantages. Experimental results show that blending biogas with hydrogen improves engine performance and power while reducing carbon monoxide and hydrocarbon emissions. However, nitrogen oxide emissions increase due to higher combustion temperatures caused by hydrogen.
Article
Chemistry, Physical
Sadashiva Lalsangi, V. S. Yaliwal, N. R. Banapurmath, Manzoore Elahi M. Soudagar, Umit Agbulut, M. A. Kalam
Summary: This study aims to investigate the effects of fuel injection and hydrogen injection on the combustion and exhaust characteristics of a diesel engine. The results showed that multiple injections reduced thermal efficiency but decreased NOx emissions, and changed cylinder pressure and heat release rate compared to the traditional fuel injection method.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Engineering, Mechanical
Venkatesh Chenrayan, Kiran Shahapurkar, Gangadhar M. M. Kanaginahal, Vineet Tirth, Abdulaziz H. H. Alghtani, Ali Algahtani, Fadi Althoey, Manzoore Elahi M. Soudagar, Chandru Manivannan, H. C. Ananda Murthy
Summary: The present study investigates the dynamic mechanical response of crump rubber filled epoxy composites. The effect of crump rubber content (0, 10, 20 and 30 vol.%) on the storage modulus, loss modulus and damping properties is assessed by experimental and theoretical approaches. The experimental storage modulus decreases with an increase in temperature for all the compositions while the experimental loss modulus of EC-30 registers higher values in comparison with other compositions. Damping capabilities also increase with higher filler content. The strengthening mechanism of the crump rubber composite is validated through the effectiveness of dispersion, degree of entanglement and activation energy. The increment in the degree of entanglement and activation energy are 84 and 154% higher than the neat epoxy, respectively, which implies the thermal stability of the composite. The results of theoretical modeling evaluated for the storage and loss modulus are in good agreement with the experimental results.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2023)
Article
Thermodynamics
T. Sathish, Pelluru Suresh, Kamal Sharma, C. Ahamed Saleel, Saboor Shaik, Sher Afghan Khan, Hitesh Panchal
Summary: This research aims to develop a zero-emission/energy-building heating system with a PCM. Experimental results show that the KNO3-NaNO3 PCM outperformed by exhibiting a higher heat transfer rate. The system achieved a maximum output water temperature of 94 degrees C, a heat transfer of 6273 W, an energy efficiency of 50.6%, and an exergy of 5.99%.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Review
Energy & Fuels
Zahidul Islam Rony, M. Mofijur, M. M. Hasan, Shams Forruque Ahmed, Irfan Anjum Badruddin, T. M. Yunus Khan
Summary: Microalgae are a vital resource for addressing the decrease in oil reserves and negative impacts of fossil fuels. This review focuses on the biochemical mechanisms used to convert algal biomass into sustainable fuel and the challenges and potential of these processes. Proper selection of microalgae species based on their lipid, carbohydrate, and protein content is important for producing high-quality, sustainable biofuel.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Chemistry, Multidisciplinary
Atul Bhattad, B. Nageswara Rao, Vinay Atgur, Nagaraj R. Banapurmath, Ashok M. Sajjan, Chandramouli Vadlamudi, Sanjay Krishnappa, T. M. Yunus Khan, Narasimha H. Ayachit
Summary: Extensive investigations were conducted to explore the thermal conductivity of mono-nanofluids, but the effect of concentration, diameter, and thermal properties of nanoparticles was often overlooked. This study proposed a model that considers the influence of these parameters on the thermal conductivity of hybrid nanofluids. Experimental results showed 2.4% and 2.1% enhancements in thermal conductivity for alumina (5:0) and titania (0:5) nanofluids, respectively, with a 0.1% particle volume concentration.
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)