Evaluation of the altered enzymatic and pollen activity in sunflower on application of nanoparticles.

Nanoparticles play a significant role in enhancing crop yield and reducing nutrient loss through precise nutrient delivery mechanisms. However, it is imperative to ascertain the specific plant physiology altered by these nanoparticles. This study investigates the effects of green-synthesized nanoparticles, specifically boron nitride and sulphur, on sunflower yield, seed quality, and physiological activities.

Comprehensive assessment of imaging quality of artificial intelligence-assisted compressed sensing-based MR images in routine clinical settings.

Background: Conventional MR acceleration techniques, such as compressed sensing, parallel imaging, and half Fourier often face limitations, including noise amplification, reduced signal-to-noise ratio (SNR) and increased susceptibility to artifacts, which can compromise image quality, especially in high-speed acquisitions. Artificial intelligence (AI)-assisted compressed sensing (ACS) has emerged as a novel approach that combines the conventional techniques with advanced AI algorithms. The objective of this study was to examine the imaging quality of the ACS approach by qualitative and quantitative analysis for brain, spine, kidney, liver, and knee MR imaging, as well as compare the performance of this method with conventional (non-ACS) MR imaging.

One-pot synthesis of g-CN/N-doped CeO nanocomposites and their potential visible light-driven photocatalytic degradation of methylene blue dye.

In the pursuit of efficient photocatalytic materials for environmental applications, a new series of g-CN/N-doped CeO nanocomposites (g-CN/N-CeO NCs) was synthesized using a straightforward dispersion method. These nanocomposites were systematically characterized to understand their structural, optical, and chemical properties. The photocatalytic performance of g-CN/N-CeO NCs was evaluated by investigating their ability to degrade methylene blue (MB) dye, a model organic pollutant.

Comparison of lung aeration loss in open abdominal oncologic surgeries after ventilation with electrical impedance tomography-guided PEEP versus conventional PEEP: a pilot feasibility study.

Background: Existing literature lacks high-quality evidence regarding the ideal intraoperative positive end-expiratory pressure (PEEP) to minimize postoperative pulmonary complications (PPCs). We hypothesized that applying individualized PEEP derived from electrical impedance tomography would reduce the severity of postoperative lung aeration loss, deterioration in oxygenation, and PPC incidence.

Methods: A pilot feasibility study was conducted on 36 patients who underwent open abdominal oncologic surgery.