The European Green Deal, which emphasizes zero-waste economies, and waste recycling in construction and building materials, has arisen due to significant worldwide needs for solid waste recovery and usage. This ambitious study focuses on recycling mixed construction and demolition (C&D) waste into burnt bricks and investigating the influence of firing temperature. While pursuing its objectives, this is dependent on raw material characterization and burnt-brick product quality assessment. The recycling of mixed C&D waste is explored by mixing the waste into two soil types (alluvial and laterite) in ratios ranging from 5% to 45% at three firing temperatures (700 °C, 850 °C and 900 °C). The utilization of mixed C&D waste in amounts of 10% at 700 °C and 25% at 850 °C and 900 °C fulfilled the Indian standard. Although a fire at 700 °C results in less optimal waste utilization, it is beneficial and recommended for reducing the carbon footprint and energy use. Additional mineralogical and microstructural analyzes are performed on the optimal fired samples. The study's findings are promising for sustainable resource usage, reducing carbon footprint, and reducing waste disposal volume. This research is a big step toward the Sustainable Development Goals of the United Nations and a circular economy.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9822509 | PMC |
http://dx.doi.org/10.3390/ma16010262 | DOI Listing |
Nano Lett
January 2025
Key Lab for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing 100871, China.
One-time programmable (OTP) memory is an essential component in chips, which has extremely high security to protect the stored critical information from being altered. However, traditional OTP memory based on the thermal breakdown of the dielectric has a large programming current, which leads to high power consumption. Here, we report a gate tunneling-induced "cold" breakdown phenomenon in carbon nanotube (CNT) field-effect transistors, and based on this we construct a "cold" fuse (C-fuse) memory where applying a mild gate voltage can break down the CNT channel without damaging the gate dielectric.
View Article and Find Full Text PDFChem Commun (Camb)
January 2025
Institut für Organische Chemie, Universität Tübingen, Auf der Morgenstelle 18, 72076 Tübingen, Germany.
Correction for 'C-H functionalization of tetramethylsilane employing a borylnitrene' by Matthias Müller , , 2013, , 11773-11775, https://doi.org/10.1039/C3CC47753C.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Department of Materials Design and Innovation, University at Buffalo, Buffalo, New York 14260-1660, United States.
This study presents a hybrid microfiltration technology designed for high-performance lead (Pb(II)) remediation, especially from aqueous solutions with high Pb(II) concentrations, by utilizing two-dimensional (2D) TiCT-MXene layers deposited on dry mycelium membranes. The hybrid TiCT-MXene/mycelium (MyMX) membranes were fabricated via a single-step electrochemical deposition (ECD) technique, which enabled a uniform coating of 2D TiCT-MXene onto individual hyphal fibers of a prefabricated mycelium membrane. Optimized ECD parameters for high Pb(II) uptake were identified using scanning electron microscopy and energy-dispersive X-ray spectroscopy.
View Article and Find Full Text PDFJ Music Ther
January 2025
Department of Communication and Psychology, Aalborg University, 9220, Denmark.
The cost-effectiveness of an intervention is an important factor in health care decisions about which health care services should be publicly funded and/or approved as an eligible intervention for private insurance coverage. Music therapy as a health profession lacks substantial research on the cost-effectiveness of its services and there is no overview of existing data. We therefore conducted a scoping review.
View Article and Find Full Text PDFCirc Genom Precis Med
January 2025
Mary and Steve Wen Cardiovascular Division, Department of Medicine, University of California, Los Angeles. (W.F., N.D.W.).
Background: Lp(a; Lipoprotein[a]) is a predictor of atherosclerotic cardiovascular disease (ASCVD); however, there are few algorithms incorporating Lp(a), especially from real-world settings. We developed an electronic health record (EHR)-based risk prediction algorithm including Lp(a).
Methods: Utilizing a large EHR database, we categorized Lp(a) cut points at 25, 50, and 75 mg/dL and constructed 10-year ASCVD risk prediction models incorporating Lp(a), with external validation in a pooled cohort of 4 US prospective studies.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!