Anesthetic and obstetric predictors of general anesthesia in urgent or emergent Cesarean delivery: a retrospective case-control study.

Purpose: While regional anesthesia (RA) is considered preferable to general anesthesia (GA) for Cesarean delivery (CD), certain situations necessitate GA. This study reviewed the practice patterns around the use of GA for CD to identify modifiable predictors of GA with the goal of reducing GA rates.

Methods: This was a retrospective, case-control study.

Effect of Sugar Replacement with Stevia-Based Tabletop Sweetener on Weight and Cardiometabolic Health among Indian Adults.

Unlabelled: Added sugars contribute to caloric intake in the diet, which may lead to conditions like obesity. Replacing added sugar with a natural sugar substitute like zero-calorie stevia may help in reducing sugar and caloric intake.

Methods: An open-label, single-arm pilot study was conducted to evaluate the efficacy and safety of a stevia-based tabletop sweetener among overweight subjects with normal blood sugar levels ( = 24) and overweight prediabetic subjects ( = 21).

Online Machine Vision-Based Modeling during Cantaloupe Microwave Drying Utilizing Extreme Learning Machine and Artificial Neural Network.

Online microwave drying process monitoring has been challenging due to the incompatibility of metal components with microwaves. This paper developed a microwave drying system based on online machine vision, which realized real-time extraction and measurement of images, weight, and temperature. An image-processing algorithm was developed to capture material shrinkage characteristics in real time.

Estimating the Moisture Ratio Model of Cantaloupe Slices by Maximum Likelihood Principle-Based Algorithms.

As an agricultural plant, the cantaloupe contains rich nutrition and high moisture content. In this paper, the estimation problem of the moisture ratio model during a cantaloupe microwave drying process was considered. First of all, an image processing-based cantaloupe drying system was designed and the expression of the moisture ratio with regard to the shrinkage was built.

Predicting the Moisture Ratio of a Hami Melon Drying Process Using Image Processing Technology.

For food drying, moisture content and shrinkage are vital in the drying process. This paper is concerned with the moisture ratio modeling and prediction issues of the Hami melon drying process. First, an experimental system was developed; it included an adjustable-power microwave drying unit and an image-processing unit.