Trends and variations in admissions for cannabis use disorder among pregnant women in United States.

Objectives: Cannabis use disorder (CUD) among pregnant women is increasing, yet limited information exists on admissions for treatment in this population. This study examined trends in CUD admissions among pregnant women in publicly funded U.S.

Dual-track spectrometer design for 1D gas-phase Raman spectroscopy.

In this study, a new design for a 1D gas-phase Raman spectrometer is presented, utilizing two dedicated tracks to image different properties of the measured signal onto a single charge-coupled device (CCD) chip. Two possible configurations are shown: a polarization-separation configuration, which separates the detected Raman signal into s- and p-polarized shares; and a dual-resolution configuration, which captures all process-relevant species in a range of approximately 515-4650 cm on one track and the highly resolved nitrogen spectrum on the other. This new spectrometer design offers several advantages when compared to traditional polarization-separation/dual-resolution systems, which often use switchable filters or two different spectrometers in tandem to achieve comparable measurements.

Navigating the Global Pandemic in Pediatric Overweight and Obesity: Emerging Challenges and Proposed Solutions.

Background: Since 1990, childhood overweight and obesity have been rising on every continent and have almost doubled worldwide. The deleterious consequences include hypertension, type 2 diabetes mellitus, and dyslipidemia leading to metabolic syndrome in childhood and myocardial infarction, stroke, cancer and other disabling conditions in adulthood.

Purpose: In Southern Europe, including Greece, Italy, and Spain, 10 to 15% of children are obese.

Computational models for improving surveillance for the early detection of direct introduction of cassava brown streak disease in Nigeria.

Cassava is a key source of calories for smallholder farmers in sub-Saharan Africa but its role as a food security crop is threatened by the cross-continental spread of cassava brown streak disease (CBSD) that causes high yield losses. In order to mitigate the impact of CBSD, it is important to minimise the delay in first detection of CBSD after introduction to a new country or state so that interventions can be deployed more effectively. Using a computational model that combines simulations of CBSD spread at both the landscape and field scales, we model the effectiveness of different country level survey strategies in Nigeria when CBSD is directly introduced.