On the origin and evolution of the material in 67P/Churyumov-Gerasimenko

International audiencePrimitive objects like comets hold important information on the material that formed our solar system. Several comets have been visited by spacecraft and many more have been observed through Earth- and space-based telescopes. Still our understanding remains limited. Molecular abundances in comets have been shown to be similar to interstellar ices and thus indicate that common processes and conditions were involved in their formation. The samples returned by the Stardust mission to comet Wild 2 showed that the bulk refractory material was processed by high temperatures in the vicinity of the early sun. The recent Rosetta mission acquired a wealth of new data on the composition of comet 67P/Churyumov-Gerasimenko (hereafter 67P/C-G) and complemented earlier observations of other comets. The isotopic, elemental, and molecular abundances of the volatile, semi-volatile, and refractory phases brought many new insights into the origin and processing of the incorporated material. The emerging picture after Rosetta is that at least part of the volatile material was formed before the solar system and that cometary nuclei agglomerated over a wide range of heliocentric distances, different from where they are found today. Deviations from bulk solar system abundances indicate that the material was not fully homogenized at the location of comet formation, despite the radial mixing implied by the Stardust results. Post-formation evolution of the material might play an important role, which further complicates the picture. This paper discusses these major findings of the Rosetta mission with respect to the origin of the material and puts them in the context of what we know from other comets and solar system objects

COVID-19 vaccination and changes in the menstrual cycle among vaccinated persons

Objective: To describe the characteristics of people who experience changes to their menstrual cycle after COVID-19 vaccination. Design: Longitudinal study. Patient(s): We recruited a volunteer sample with and without a history of SARS-CoV-2 infection who enrolled in the Arizona COVID-19 Cohort (CoVHORT) study and participated in a reproductive sub-cohort who were pre-menopausal, not pregnant, and had received a COVID-19 vaccine in 2021 (n = 545). Exposure(s): Demographic and reproductive characteristics were collected via self-reports. Main Outcome Measure(s): Information on self-reported changes in the menstrual cycle after COVID-19 vaccination was collected from May 2021 to December 2021. We looked at demographic and reproductive characteristics as predictors of menstrual cycle change. Result(s): The majority of our vaccinated sample received the Pfizer-BioNTech vaccine (58%), and were 26-35 years old (51%), non-Hispanic (84%), and White (88%). Approximately 25% of vaccinated participants reported a change in their menstrual cycle after vaccination; the majority reported changes after their second dose (56%) as compared with their first (18%) and third (14%) doses. The most commonly reported changes were irregular menstruation (43%), increased premenstrual symptoms (34%), increased menstrual pain or cramps (30%), and abnormally heavy or prolonged bleeding (31%). High self-reported perceived stress levels compared with low perceived stress (OR, 2.22; 95% CI 1.12-4.37) and greater body mass index (OR, 1.04; 95% CI 1.00-1.07) were associated with greater odds of experiencing the menstrual cycle changes after the vaccination. Participants having a history of SARS-CoV-2 infection were less likely to report changes in their menstrual cycle after vaccination compared with the participants with no history of SARS-CoV-2 infection (OR, 0.58; 95% CI 0.32-1.04). Conclusion(s): Among vaccinated participants, approximately 25% of them reported predominantly temporary changes in the menstrual cycle, however, we are unable to determine whether these changes are due to normal cycle variability. The COVID-19 vaccines are safe and effective for everyone, including pregnant people and people trying to conceive; hence, these findings should not discourage vaccination. © 2022 American Society for Reproductive MedicineOpen access articleThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

How audience and disclosure characteristics influence memory of sponsorship disclosures

The proliferation of sponsored content (e.g., product placement) in television programmes has been a cause of concern as it may violate the right of consumers to know that a message is sponsored. Therefore, new regulations obligate broadcasters to disclose sponsored content. To achieve its goal of informing the consumer, a sponsorship disclosure must be effectively communicated. This study explores how audience and disclosure characteristics influence memory of sponsorship disclosures. Results show that a disclosure at the beginning of a programme results in less disclosure memory compared to a disclosure in the middle or at the end of a programme. The duration of the disclosure does not directly influence disclosure memory, but a disclosure is best remembered when it is displayed longer and viewers are familiar with the programme. Additionally, viewers' programme and disclosure familiarity increase the chance that a disclosure is remembered, while programme involvement decreases disclosure memory. These results contribute to advertising theory and may be useful in the development of effective sponsorship disclosures, as they indicate several conditions under which disclosures are more likely to be remembered

Same soil, different climate: Crop model intercomparison on translocated lysimeters.

Crop model intercomparison studies have mostly focused on the assessment of predictive capabilities for crop development using weather and basic soil data from the same location. Still challenging is the model performance when considering complex interrelations between soil and crop dynamics under a changing climate. The objective of this study was to test the agronomic crop and environmental flux-related performance of a set of crop models. The aim was to predict weighing lysimeter-based crop (i.e., agronomic) and water-related flux or state data (i.e., environmental) obtained for the same soil monoliths that were taken from their original environment and translocated to regions with different climatic conditions, after model calibration at the original site. Eleven models were deployed in the study. The lysimeter data (2014–2018) were from the Dedelow (Dd), Bad Lauchstädt (BL), and Selhausen (Se) sites of the TERENO (TERrestrial ENvironmental Observatories) SOILCan network. Soil monoliths from Dd were transferred to the drier and warmer BL site and the wetter and warmer Se site, which allowed a comparison of similar soil and crop under varying climatic conditions. The model parameters were calibrated using an identical set of crop- and soil-related data from Dd. Environmental fluxes and crop growth of Dd soil were predicted for conditions at BL and Se sites using the calibrated models. The comparison of predicted and measured data of Dd lysimeters at BL and Se revealed differences among models. At site BL, the crop models predicted agronomic and environmental components similarly well. Model performance values indicate that the environmental components at site Se were better predicted than agronomic ones. The multi-model mean was for most observations the better predictor compared with those of individual models. For Se site conditions, crop models failed to predict site-specific crop development indicating that climatic conditions (i.e., heat stress) were outside the range of variation in the data sets considered for model calibration. For improving predictive ability of crop models (i.e., productivity and fluxes), more attention should be paid to soil-related data (i.e., water fluxes and system states) when simulating soil–crop–climate interrelations in changing climatic conditions

Assessment of proliferation of squamous, Barrett's and gastric mucosa in patients with columnar lined Barrett's oesophagus.

There is no satisfactory biomarker yet available for predicting the likelihood of premalignant changes or carcinoma developing in Barrett's or columnar lined oesophagus. In this study we have evaluated the proliferation of squamous epithelium, columnar epithelium from columnar lined oesophagus and gastric columnar epithelium from 23 Barrett's patients using positive immunoreactivity with the mouse monoclonal antibody Ki67 (which recognises an antigen associated with proliferative cells) with a view to using this parameter as a biomarker. Squamous epithelium had significantly higher Ki67 immunostaining as compared with columnar epithelium from columnar lined oesophagus (when examining the tissue with greater than 15% cells staining positive for Ki67, Fisher's exact test p = 0.004) but there was no difference found between the epithelium from the columnar lined oesophagus and gastric columnar epithelium. There was no correlation between histological inflammation and Ki67 immunoreactivity of Barrett's mucosa, and the Ki67 immunostaining of two patients with dysplasia was no different from the rest of the group. There was, however, a significant correlation between the Ki67 immunoreactivity of columnar epithelium from columnar lined oesophagus and columnar epithelium from the stomach (correlation coefficient = 0.44, p = 0.03) suggesting that epithelium from columnar lined oesophagus behaves in a similar fashion to gastric epithelium