Niebuhr McCabe (creditbase3)

Given the rising prevalence of psychiatric symptomatology among college students, this analysis aims to identify temporal trends in psychiatric medication usage. This analysis used data from the Healthy Minds Study Survey administered between 2007 and 2019, yielding a sample of 320,817 university students. Survey data were examined via descriptive analyses. Over the last decade from 2007 to 2018-2019, there was an increase in use of nearly all classes of psychiatric medications, with reported antidepressant medication (selective serotonin reuptake inhibitors [SSRIs], serotonin-norepinephrine reuptake inhibitors [SNRIs], etc.) use increasing from 8.0% to 15.3%, anti-anxiety medication (benzodiazepines, buspirone, etc.) from 3.0% to 7.6%, psychostimulants from 2.1% to 6.3%, antipsychotics from 0.38% to 0.92%, and mood stabilizers from 0.8% to 2.0% (all p<0.0001), respectively. In addition, the use of more than one category of medication at a time has increased, from 28.2% in 2007 to 40.8% in 2018-2019 greater frequency. Despite the growing complexity of student treatment, the proportion of students receiving psychiatric medication management by psychiatric providers has not changed, while the proportion receiving services in primary care settings has increased. The proportion of college students who have taken psychiatric medications of all categories has risen in the last decade; these students are increasingly likely to be on more than one kind of psychiatric medication and be treated by healthcare providers at a greater frequency. Despite the growing complexity of student treatment, the proportion of students receiving psychiatric medication management by psychiatric providers has not changed, while the proportion receiving services in primary care settings has increased.The ongoing biotechnological revolution is rooted in our knowledge of enzymes. However, metagenomics is showing how little we know about Earth's enzyme repertoire. Deep sequencing has revolutionized our view of the tree of life. The genomes of newly-discovered organisms are replete with novel sequences, emphasizing the trove of enzyme structures and functions waiting to be explored by biochemists. Here, we sought to draw attention to the vastness of the "enzymatic dark matter" within the tree of life by placing enzymological knowledge in the context of phylogeny. We used kinetic parameters from the BRaunschweig ENzyme DAtabase (BRENDA) as our proxy for enzymological knowledge. Mapping 12,677 BRENDA entries onto the phylogenetic tree revealed that 55% of these data were from eukaryotes, even though they are the least diverse part of the tree. At the next taxonomic level, only four of 18 archaeal phyla and 24 of 111 bacterial phyla are represented in the BRENDA dataset. One phylum, the Proteobacteria, accounts for over half of all bacterial entries. Similarly, the supergroup Amorphea, which includes animals and fungi, contains over half the data on eukaryotes. Many major taxonomic groups are notable for their complete absence from BRENDA, including the ultra-diverse bacterial Candidate Phyla Radiation. At the species level, five mammals (including human) contribute 15% of BRENDA entries. The taxonomic bias in enzymology is strong, but in the era of gene synthesis we now have the tools to address it. Doing so promises to enrich our biochemical understanding of life and uncover powerful new biocatalysts. Foreign bodies lodged in the upper esophagus in children may result in life-threatening complications, especially with button batteries. Rapid removal is essential to prevent complications. Experts report that extraction with a suitable laryngoscope and a forceps is feasible under general anesthesia, but no further data had been available so far. To study foreign body visualization and removal from the upper esophagus in children using a new optimized Miller size 3 blade video laryngoscope. This pros