Rapid and high-precision cavity-enhanced spectroscopic measurement of HONO and NO: Application to emissions from heavy-duty diesel vehicles in chassis dynamometer tests and in mobile monitoring.

Nitrous acid (HONO) is crucial in atmospheric chemistry as it is a major precursor for hydroxyl radicals (OH), the dominant atmospheric oxidant. Hydroxyl radicals are essential in the formation of secondary air pollutants like ozone and particulate matter. This study presents a newly developed Incoherent Broadband Cavity Enhanced Absorption Spectroscopy (IBBCEAS) system for precise and rapid measurements of HONO and nitrogen dioxide (NO) emissions.

SBA-Pr-IS-MN-DM: a new fluorescent chemosensor for trace detection of silver in aqueous solutions.

Initially, SBA-Propyl-Isatin-Malononitrile (SBA-Pr-IS-MN) was prepared by the reaction of SBA-Pr-Cl with IS-MN, which was synthesized by the reaction of isatin and malononitrile. This organic and inorganic hybrid material can be functionalized by the sequential reaction with dimedone to obtain the target product SBA-Pr-Is-MN-DM, which was investigated as a chemosensor by fluorescence spectroscopy to detect trace amount of Ag among several other cations in aqueous media.

MXenes and artificial intelligence: fostering advancements in synthesis techniques and breakthroughs in applications.

This review explores the synergistic relationship between MXenes and artificial intelligence (AI), highlighting recent advancements in predicting and optimizing the properties, synthesis routes, and diverse applications of MXenes and their composites. MXenes possess fascinating characteristics that position them as promising candidates for a variety of technological applications, including energy storage, sensors/detectors, actuators, catalysis, and neuromorphic systems. The integration of AI methodologies provides a robust toolkit to tackle the complexities inherent in MXene research, facilitating property predictions and innovative applications.

Assessment of Acoustic and Nasalance Improvement in Maxillary Obturator Patients Using PRAAT Software: An Study.

Aim: The purpose of this study was to evaluate the improvement in acoustic and nasalance in patients with maxillary obturators, using PRAAT software.

Materials And Methods: The current study comprised a total of 16 patients who had acquired maxillary defects. Regardless of gender, the age range of these patients was 40-75 years old.