J Environ Manage
January 2025
Analyzing soil in large and remote areas such as the Amazon River Basin (ARB) is unviable when it is entirely performed by wet labs using traditional methods due to the scarcity of labs and the significant workforce requirements, increasing costs, time, and waste. Remote sensing, combined with cloud computing, enhances soil analysis by modeling soil from spectral data and overcoming the limitations of traditional methods. We verified the potential of soil spectroscopy in conjunction with cloud-based computing to predict soil organic carbon (SOC) and particle size (sand, silt, and clay) content from the Amazon region.
View Article and Find Full Text PDFThis study aimed to evaluate the scanning time and marginal fit of CAD/CAM crowns fabricated using different intraoral scanning systems (IOS) (O1-Omnicam 1.0, O2-Omnicam 2.0, PS-Primescan).
View Article and Find Full Text PDFIntroduction: Type 2 diabetes, characterized by hyperglycemia, is closely linked to obesity and low-grade inflammation. Acute cocoa flavanols (CF) intake has demonstrated benefits in vasoreactivity, cognitive functions, and antioxidant enzyme activity. However, the physiological mechanisms of CF concerning glucose uptake, inflammatory mediators, and their interplay with aerobic exercise remain unclear in populations with metabolic diseases.
View Article and Find Full Text PDFThe purpose of this study was to evaluate the impact of various mechanical surface treatments on the surface roughness and microtensile bond strength (µTBS) of aged composite resin cores bonded to CAD/CAM restorations. Composite resin specimens (Filtek Z350 XT, 3M-ESPE/Solventum) were thermally aged and subsequently divided into four groups (n = 36) according to surface treatments: UI-cleaning with ultrasonic diamond tip; AO-sandblasting with 50 µm AlO; DB-cleaning with diamond burs; and CG-positive control group, without aging or surface treatment. Surface roughness was assessed using a profilometer and interferometer, with measurements taken on both sides of each specimen (n = 12).
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