Lavinia Espy Morehead Scrapbook & Portrait

MS030-201

Acronyms of Ailment

Profanity, obscenity and violence are slipping into medical terminology and phraseology unobtrusively through the back door of the acronymal abbreviation. When quoted as an acronym, coronary artery disease becumes an insulting CAD, secondary carcinoma of the upper mediastinum turns into SCUM, thyroid uptake gradient transforms into THUG, and right atrial pressure elevation transmutes into RAPE. Medical papers abound in such vulgarisms as GIP (gonorrheal invasive peritonitis), HOG (hepatic output of glucose), IMP (idiopathic myeloid proliferation) and HOOD (hyperbaric oxygen ongoing delivery)

Rapid analysis of forensic-related samples using two ambient ionization techniques coupled to high-resolution mass spectrometers

RATIONALE: This paper highlights the versatility of interfacing two ambient ionization techniques, Laser Diode Thermal Desorption (LDTD) and Atmospheric Solids Analysis Probe (ASAP), to high-resolution mass spectrometers and demonstrate the method’s capability to rapidly generate high-quality data from multiple sample types with minimal, if any, sample preparation. METHODS: For ASAP-MS analysis of solid and liquid samples, the material was transferred to a capillary surface before being introduced into the mass spectrometer. For LDTD-MS analysis, samples were solvent extracted, spotted in a 96-well plate, and the solvent was evaporated before being introduced into the mass spectrometer. All analyses were performed using Atmospheric Pressure Chemical Ionization in positive mode. RESULTS: Seven consumer Spice packets were combined and analyzed by both ASAP and LDTD, which identified 11 synthetic cannabinoids/cathinones by full MS and MS/MS experiments. To further show the usefulness of these techniques, black tar heroin was analyzed, which resulted in the identification of heroin and its impurities (monoacetylmorphine, papaverine, and noscapine). These experiments were performed on the LTQ-Orbitrap to demonstrate the ability to perform both parallel and serial MS and MSn experiments. CONCLUSIONS: Interfacing LDTD and ASAP to high-resolution mass spectrometers allows for expeditious analysis of a wide range of samples, with minimal or no sample preparation. Both allow for rapid full scan, MS/MS, and/or MSn experiments from a single sample introduction

High asymptomatic carriage with the Omicron variant in South Africa

We report a 23% asymptomatic severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) Omicron carriage rate in participants being enrolled into a clinical trial in South Africa, 15-fold higher than in trials before Omicron. We also found lower CD4 + T-cell counts in persons with human immunodeficiency virus (HIV) strongly correlated with increased odds of being SARS-CoV-2 polymerase chain reaction (PCR) positive.The National Institute of Allergy and Infectious Diseases (NIAID) of the National Institutes of Health (NIH) grants. The Sisonke study was funded by the National Treasury of South Africa; the National Department of Health; Solidarity Response Fund NPC; The Michael & Susan Dell Foundation; The Elma Vaccines and Immunization Foundation; and the Bill & Melinda Gates Foundation.https://academic.oup.com/cidam2023Paediatrics and Child Healt

Gesture and Vocabulary Learning in a Foreign Language

When introducing new words in a second language (L2), presenting vocabulary with concurrent gestures might facilitate learners’ recollection of new words. Previous research has suggested that this gestural advantage might hold only for gestures that overlap with the semantics of the words. Dual coding theory (Paivio, 1986, 1990) predicts that learners should learn input better when multiple sensory routes act as aids to retrieval. Our research replicated and extended previous studies examining the limits of gestures in learning L2 vocabulary. A within-participant design directly compared the effects of pairing low idiosyncratic gestures (gestures traditionally iconic with word meanings) versus high idiosyncratic gestures (gestures that likely need to be idiosyncratically paired with word meanings) with L2 vocabulary presentation, relative to using no gestures. Results supported dual coding theory: All gestures were helpful if they were not confusable with other to-be-learned words and if the number of words presented was limited

A New Look at Quantifying Tobacco Exposure during Pregnancy Using Fuzzy Clustering

Background—Prenatal tobacco exposure is a risk factor for the development of externalizing behaviors and is associated with several adverse health outcomes. Because pregnancy smoking is a complex behavior with both daily fluctuations and changes over the course of pregnancy, quantifying tobacco exposure is a significant challenge. To better measure the degree of tobacco exposure, costly biological specimens and repeated self-report measures of smoking typically are collected throughout pregnancy. With such designs, there are multiple, and substantially correlated, indices that can be integrated via new statistical methods to identify patterns of prenatal exposure. Method—A multiple-imputation-based fuzzy clustering technique was designed to characterize topography of prenatal exposure. This method leveraged all repeatedly measured maternal smoking variables in our sample data, including (a) cigarette brand; (b) Fagerstrom nicotine dependence item scores; (c) self-reported smoking; and (d) cotinine level in maternal urine and infant meconium samples. Identified exposure groups then were confirmed using a suite of clustering validation indices based on multiple imputed datasets. The classifications were validated against irritable reactivity in the first month of life and birth weight of 361 neonates (Male_n = 185; Female_n = 176; Gestational Age_Mean = 39 weeks). Results—This proposed approach identified three exposure groups, non-exposed, lightertobacco- exposed, and heavier-tobacco-exposed based on high-dimensional attributes. Unlike cutoff score derived groups, these groupings reflect complex smoking behavior and individual variation of nicotine metabolism across pregnancy. The identified groups predicted differences in birth weight and in the pattern of change in neonatal irritable reactivity, as well as resulted in increased predictive power. Multiple-imputation based fuzzy clustering appears to be a useful method to categorize patterns of exposure and their impact on outcomes

A closed-loop optogenetic stimulation device

Closed-loop optogenetic stimulation devices deliver optical stimulations based on real-time measurement and analysis of neural responses to stimulations. However, the use of large bench-top and tethered devices hinders the naturalistic test environment, which is crucial in pre-clinical neuroscience studies involving small rodent subjects. This paper presents a tetherless, lightweight and miniaturized head-mountable closed-loop optogenetic stimulation device. The device consists of three hardware modules: a hybrid electrode, an action potential detector, and an optogenetic stimulator. In addition, the device includes three software modules: a feature extractor, a control algorithm, and a pulse generator. The details of the design, implementation, and bench-testing of the device are presented. Furthermore, an in vitro test environment is formed using synthetic neural signals, wherein the device is validated for its closed-loop performance. During the in vitro validation, the device was able to identify abnormal neural signals, and trigger optical stimulation. On the other hand, it was able to also distinguish normal neural signals and inhibit optical stimulation. The overall power consumption of the device is 24 mW. The device measures 6 mm in radius and weighs 0.44 g excluding the power source

A miniature neural recording device

This paper presents a portable neural recording device for use with laboratory animals. It can detect and record neural signals from the cortical region of the brain during pre-clinical trials. The device utilizes simplified circuitry to perform signal detection, filtering, sampling, and storage. It includes analog and digital components each implemented on a separate small printed circuit board. The two printed circuit boards are then attached to one another to form the device. It is capable of uninterrupted operation for over 2 hours on a single coin battery. A bench-testing of the device was performed with pre-recorded neural signal which then injected to the input of the device to give validation of efficient operation of the device. Its amplification and filtration features have been analyzed. An overall 56 dB amplification and filtration in the frequency range of 300 Hz to 4 KHz was achieved. Sampling and storage at a reduced power and computational load is demonstrated with uninterrupted storage of the neural signal. A comparison of the input and reconstructed neural signals shows minimal variation error