Publications by authors named "S Hiva Nemati"
This study describes procedures for embedding digital information into additively manufactured components as well as procedures for readout and tensile testing. Embedded digital codes were printed inside ASTM E8/E8M dumbbells using Direct Metal Laser Melting (DMLS) with an EOS M290 printer. The codes were configured as either ellipsoids or prolate spheroids in patterns given by the Cantor dust fractal.
View Article and Find Full Text PDFBackground: While many COVID-19-induced anosmia patients recover their sense of smell within a few months, a substantial number of them continue to experience olfactory impairment. In our primary study, the metabolic patterns in orbitofrontal cortex (OFC) were observed to exhibit more alterations than other regions. Hence, this study specifically probes into alterations within OFC region in subjects with persistent COVID-19-induced anosmia.
View Article and Find Full Text PDFIntrauterine growth restriction (IUGR) induced by utero-placental insufficiency (UPI) results in delayed neural development and impaired brain growth. This study investigates the effects of Naringin (Nar) on memory, learning, cholinergic activity, oxidative stress markers, hippocampal CREB/BDNF signal pathway and cell damage in offspring of rats exposed to UPI. Twenty pregnant Wistar rats were randomly assigned to four groups: control, sham surgery, UPI + NS (UPI + normal saline as a vehicle), and UPI + Nar (UPI + Nar at 100 mg/kg/day).
View Article and Find Full Text PDFNaproxen (NAP), a nonsteroidal anti-inflammatory, analgesic, and antipyretic drug, has fewer side effects than similar drugs due to its aryl acetic acid structure. For this reason, it is widely prescribed to manage fever, short-term and long-term pain, and musculoskeletal disorders. However, its use has complications such as changes in kidney function, severe gastrointestinal lesions, and increased bleeding after surgery.
View Article and Find Full Text PDFArticle Synopsis
- Continuous positive airway pressure (CPAP) is primarily prescribed for obstructive sleep apnea (OSA), but many patients still experience respiratory issues or need higher pressures during treatment.
- The study aimed to create predictive models to better forecast CPAP outcomes using both clinical and physiological data, comparing traditional regression methods to more advanced machine learning techniques.
- Results showed that machine learning models, particularly random forest methods that included physiological traits, significantly outperformed traditional regression models in predicting residual apnea-hypopnea index (AHI), highlighting the importance of using diverse data for more accurate predictions in OSA therapy.