Colorimetric CO Indicators.

Carbon dioxide, CO, is an essential part of life, in that through green plant photosynthesis it is used to generate food and fuel and is generated in both aerobic and anaerobic respiration. Industrially, it is used in fire extinguishers, supercritical fluid extractions, and food packaging. Environmentally, it is in the atmosphere, hydrosphere, and biosphere and is responsible for global warming and the acidification of the oceans.

A crossover pilot trial of the feasibility, acceptability, and effectiveness of LoveYourBrain Yoga for community-dwelling adults with multiple sclerosis.

Background And Purpose: Among people with multiple sclerosis (MS), yoga has potential to improve fatigue and other symptoms that undermine quality of life. The aim of this study was to assess the feasibility, acceptability, and effectiveness of LoveYourBrain Yoga, a six-week yoga with psychoeducation program, on fatigue and other health-related outcomes among people with MS in a rural, community-based setting in the United States.

Methods: This non-randomized 2x2 crossover pilot trial compared LoveYourBrain Yoga to a control among 15 people with MS.

Characteristics and Outcomes of Patients Discharged Directly Home From a Medical Intensive Care Unit: A Retrospective Cohort Study.

Objective: To evaluate the safety of directly discharging patients home from the medical intensive care unit (MICU).

Materials And Methods: Single-center retrospective observational study of consecutive MICU direct discharges to home from an urban university hospital between June, 1, 2017, and June 30, 2019.

Results: Of 1061 MICU discharges, 331 (31.

Assessment of Imputation Methods for Missing Gene Expression Data in Meta-Analysis of Distinct Cohorts of Tuberculosis Patients.

The growth of publicly available repositories, such as the Gene Expression Omnibus, has allowed researchers to conduct meta-analysis of gene expression data across distinct cohorts. In this work, we assess eight imputation methods for their ability to impute gene expression data when values are missing across an entire cohort of Tuberculosis (TB) patients. We investigate how varying proportions of missing data (across 10%, 20%, and 30% of patient samples) influence the imputation results, and test for significantly differentially expressed genes and enriched pathways in patients with active TB.