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As urbanization accelerates, the issue of pollutant discharge from building materials has become the focus of public attention. Conducted in a ventilated environmental chamber, the experiments investigated the emission characteristics of VOCs from dry and wet building materials, focusing on the influencing factors, such as temperature, relative humidity (RH), ventilation, and seasonality. The impact of influencing factors was quantified using a one-factor-at-a-time control method. This study establishes that environmental factors - temperature, RH, air exchange rate (AER), and seasonality - significantly influence VOC emissions from building materials. Elevated temperature and humidity consistently increase emission rates and concentrations, while higher AER reduces indoor VOC levels. Emissions peak rapidly upon material installation, decline sharply, and stabilize within predictable ranges. Seasonal variations show summer (high temperature/RH) yielding maximum emissions, contrasting with winter minima. Dry and wet materials exhibit similar emission trends, though temperature exerts a stronger effect on formaldehyde release from dry materials, while RH elevates peak and stable concentrations for wet materials. AER demonstrates dual effects: promoting initial emissions while diluting concentrations long-term, warranting further investigation. The C-history method efficiently determines initial emittable concentrations, and validated predictive models accurately forecast steady-state emissions across varying conditions. These models reliably estimate long-term pollutant levels using short-term data, proving valuable for indoor air quality assessment, material selection, and ventilation design. The study provides valuable insights into the practical significance of temperature, RH, ventilation, and seasonality on the emission rates of formaldehyde and TVOC from building materials.
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http://dx.doi.org/10.1080/09593330.2025.2552502 | DOI Listing |
JMIR Res Protoc
September 2025
Institute for Collaboration on Health, Intervention, and Policy, University of Connecticut, Storrs, CT, United States.
Background: Children in the United States have poor diet quality, increasing their risk for chronic disease burden later in life. Caregivers' feeding behaviors are a critical factor in shaping lifelong dietary habits. The Strong Families Start at Home/Familias Fuertes Comienzan en Casa (SFSH) was a 6-month, home-based, pilot randomized-controlled feasibility trial that aimed to improve the diet quality of 2-5-year-old children and promote positive parental feeding practices among a predominantly Hispanic/Latine sample.
View Article and Find Full Text PDFPLoS One
September 2025
Guangxi Transportation Investment Group Co., Ltd., Nanning, Guangxi, China.
To investigate the axial compressive behavior of CFRP-PVC square tube-embedded aluminum concrete columns, five specimens and one control specimen without I-shaped aluminum were tested under uniaxial compression, with the number of CFRP layers and spacing as variable parameters. The failure modes, load-displacement responses, and mechanical properties such as peak load, ductility, stiffness, and energy dissipation were systematically analyzed. Results showed that the incorporation of I-shaped aluminum improved the peak load and ductility by an average of 48.
View Article and Find Full Text PDFAdv Physiol Educ
September 2025
Department of Physiology, University College Cork, Western Gateway Building, Cork, Ireland.
This study aimed to evaluate the effectiveness of online synchronous and asynchronous teaching formats for undergraduate physiology education in a medical program in Ireland, with a specific focus on the use of LabTutor (Lt) LabStation online laboratory platform for remote access. To understand how the Lt platform was used by students and whether it enhanced their learning experience in physiology, we conducted a survey and questionnaire. We focused on students' access to Lt activities and examined any gender differences in the utilization of, and attitudes towards, these activities in a 'Fundamentals of Medicine' module for first-year medical students (n=65).
View Article and Find Full Text PDFDrugs Aging
September 2025
Dalla Lana School of Public Health, University of Toronto, V1 06, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Background And Objectives: Older adults living with dementia are a heterogeneous group, which can make studying optimal medication management challenging. Unsupervised machine learning is a group of computing methods that rely on unlabeled data-that is, where the algorithm itself is discovering patterns without the need for researchers to label the data with a known outcome. These methods may help us to better understand complex prescribing patterns in this population.
View Article and Find Full Text PDFJ Chem Theory Comput
September 2025
State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Department of Pharmaceutical Sciences, Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China.
Organometallic catalysis lies at the heart of numerous industrial processes that produce bulk and fine chemicals. The search for transition states and screening for organic ligands are vital in designing highly active organometallic catalysts with efficient reaction kinetics. However, identifying accurate transition states necessitates computationally intensive quantum chemistry calculations.
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