Articles

Elsevier,

The Lancet Regional Health - Western Pacific, Volume 15, October 2021

A population-based genomic epidemiological study examining trends in tuberculosis among Australian First Nations peoples versus non-Indigenous and overseas-born Australians, in the context of SDG 3 and 10.
Elsevier, iScience, Volume 24, 22 October 2021
Low- and moderate-income (LMI) households remain less likely to adopt rooftop solar photovoltaics (PV) than higher-income households. A transient period of inequitable adoption is common among emerging technologies but stakeholders are calling for an accelerated transition to equitable rooftop PV adoption. To date, researchers have focused on demand-side drivers of PV adoption inequity, but supply-side factors could also play a role. Here, we use quote data to explore whether PV installers implement income-targeted marketing and the extent to which such strategies drive adoption inequity.
Elsevier, Contemporary Educational Psychology, Volume 67, October 2021
As careers in science, technology, engineering, and math (STEM) continue to grow, so has attention to Algebra 1 enrollment timing that serves as a critical predictor of STEM success. The present study adds to the literature by examining if Algebra 1 enrollment timing from 8th to 9th grade is related to sense of belonging in math, and whether this association changes as a function of the students’ perceived school and math race/ethnic context.
Elsevier, Measurement: Sensors, Volume 17, October 2021
Short-term exposures to indoor air contaminants can cause adverse health impacts and warrant a need for real-time measurements. The most common indoor pollutants are carbon dioxide (CO2), carbon monoxide (CO), ozone (O3), nitrogen dioxide (NO2), total volatile organic compounds (TVOCs), and particulate matter with a diameter of less than 2.5 μm (PM2.5). Several low-cost monitors for indoor air quality are commercially available; however, few of them are accurately tested. A stable, easy to use, and reproducible platform was developed in this paper.
Elsevier, LWT, Volume 150, October 2021
Concentrations of nine heavy metal (loid)s (HMs) were determined in fourteen different small indigenous species (SIS) of freshwater fish using atomic absorption spectrophotometer (AAS) technique. Mean concentrations of HMs in the investigated SIS of fish samples ranged from (0.284–1.554), (0.002–0.035), (0.055–0.431), (0.005–0.018), (0.011–0.252), (0.216–23.948), (0.460–34.616), (0.529–3.281), and (4.473–50.560) mg/kg-fw for Pb, Cd, Cr, As, Hg, Mn, Fe, Cu, and Zn, respectively. Statistically significant difference (p
A diagram of the authors' 3-layer Internet of Things architecture.
Elsevier,

Building and Environment, Volume 203, October 2021

Monitoring the thermal comfort of building occupants is crucial for ensuring sustainable and efficient energy consumption in residential buildings. Existing studies have addressed the monitoring of thermal comfort through questionnaires and activities involving occupants. However, few studies have considered disabled people in the monitoring of thermal comfort, despite the potential for impairments to present thermal requirements that are significantly different from those of an occupant without a disability.

Elsevier,

Land Use Policy, Volume 109, October 2021

In an urbanized catchment, land use has a strong effect on water quality. The majority of the landscape metrics are correlated with Ave River Basin water quality. Water quality is dependent on landscape planning. Ave River Basin requires landscape intervention to restore hydric resources.
Elsevier,

Physics and Chemistry of the Earth, Volume 123, October 2021

This study provides new insights into the potential use of machine learning in hydrological simulations.
Graphical abstract
Elsevier,

Journal of Hydrology: Regional Studies, Volume 37, October 2021

This study applies a two-step validation method of a groundwater potential mapping approach and can improve groundwater mapping for data scarce regions.
Elsevier, Poetics, Volume 88, October 2021
Scientific research is governed by strict disciplinary norms and symbolic boundaries. This highly structured context is the space of probables, which dictates what research is likely to occur. Interdisciplinarity may disrupt these disciplinary norms by bridging epistemic gaps across disciplines to foster originality. But can interdisciplinarity actually expand the space of probables over time? In this paper, we analyze the evolution of the interdisciplinary field of climate change research based on 30,228 scientific abstracts from 2000 to 2019.

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