Two-Part Models for Father-Child Relationship Variables: Presence in the Child's Life and Quality of the Relationship Conditional on Some Presence.

Parent-child relationship variables are often measured using a two-part approach. For example, when assessing the warmth of the father-child relationship, a child is first asked if they have contact with their father; if so, the level of warmth they feel toward him is ascertained. In this setting, data on the warmth measure is missing for children without contact with their father, and such missing data can pose a significant methodological and substantive challenge when the variable is used as an outcome or antecedent variable in a model. In both cases, it is advantageous to use an analytic method that simultaneously models whether the child has contact with the father, and if they do, the degree to which the father-child relationship is characterized by warmth. This is particularly relevant when the two-part variable is measured over time, as contact status may change. We offer a pragmatic tutorial for using two-part variables in regression models, including a brief overview of growth modeling, an explanation of the techniques to handle two-part variables as predictors and outcomes in the context of growth modeling, examples with real data, and syntax in both R and Mplus for fitting all discussed models.

A predictive internet-based model for COVID-19 hospitalization census.

The COVID-19 pandemic has strained hospital resources and necessitated the need for predictive models to forecast patient care demands in order to allow for adequate staffing and resource allocation. Recently, other studies have looked at associations between Google Trends data and the number of COVID-19 cases. Expanding on this approach, we propose a vector error correction model (VECM) for the number of COVID-19 patients in a healthcare system (Census) that incorporates Google search term activity and healthcare chatbot scores. The VECM provided a good fit to Census and very good forecasting performance as assessed by hypothesis tests and mean absolute percentage prediction error. Although our study and model have limitations, we have conducted a broad and insightful search for candidate Internet variables and employed rigorous statistical methods. We have demonstrated the VECM can potentially be a valuable component to a COVID-19 surveillance program in a healthcare system.

COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak.

This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey - an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available.

Toxicological aspects of injectable gold-hyaluronan combination as a treatment for neuroinflammation.

Secondary inflammatory reactions to stroke or trauma contribute to irreplaceable loss of brain tissue of the affected patients. Likewise, neuroinflammatory processes are the main pathophysiological feature in Multiple Sclerosis (MS), a common neurodegenerative disease among young adults. In the search for safe and efficient ways to reduce inflammation within nervous tissue older immunosuppressive remedies have been re-investigated. The anti-inflammatory properties of gold salts are well known but result in uncontrollable systemic spread of gold ions, generating side effects such as nephrotoxicity, limiting their use. Recent studies have circumvented this obstacle by introducing metallic gold implants as a localized source of immune-modulating gold ions and suspension in hyaluronic acid (HA) enables injection of small amounts of gold in the natural spaces of the brain. By injecting >25 µm gold beads in HA intracerebrally we recently showed a slowing of disease progression in a rodent model of MS. The toxicological aspects were, however, not assessed. The present study investigates the viability of neuronal and macrophage cell cultures exposed to the gold/HA combination and the possible risk associated with unilateral gold/HA injection in young Balb/CA mice in the first 7 to 21 days of gold-exposure. Tracing by autometallography of gold accumulations throughout the brain exhibited sparse gold uptake in glia and neurons of hippocampus and cortex, and striatum and cerebellum were void of staining. No systemic spread of gold was seen in liver or kidney, nor were there signs of obstruction of the ventricular system. Both cell cultures of J774 macrophages and CCL neurons accumulated gold from gold/HA-exposure with no signs of reduced viability. In conclusion, our findings indicate that gold/HA is not overtly neuro- or cytotoxic, nor does intraventricular exposure result in widespread gold accumulation or tissue damage, warranting further studies into the pharmacological properties of this novel form of gold treatment.

Flexible architecture of IP3R1 by Cryo-EM.

Inositol 1,4,5-trisphosphate receptors (IP3Rs) play a fundamental role in generating Ca2+ signals that trigger many cellular processes in virtually all eukaryotic cells. Thus far, the three-dimensional (3D) structure of these channels has remained extremely controversial. Here, we report a subnanometer resolution electron cryomicroscopy (cryo-EM) structure of a fully functional type 1 IP3R from cerebellum in the closed state. The transmembrane region reveals a twisted bundle of four α helices, one from each subunit, that form a funnel shaped structure around the 4-fold symmetry axis, strikingly similar to the ion-conduction pore of K+ channels. The lumenal face of IP3R1 has prominent densities that surround the pore entrance and similar to the highly structured turrets of Kir channels. 3D statistical analysis of the cryo-EM density map identifies high variance in the cytoplasmic region. This structural variation could be attributed to genuine structural flexibility of IP3R1.