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Grief is understandably severe in the first days, if not weeks or months, following the death of a beloved person. Unless the mourner develops complicated grief, which is prolonged severe and impactful grief, the initial acute grief lessens in severity over time, although waves of significant grief will still occur with grief triggers. A scoping research literature review was undertaken in early 2021 to determine how often grief triggers occur, what the most common grief triggers are, the impact of triggered grief, and what can be done (by those not diagnosed with complicated grief) to manage grief triggers and mitigate the effect of them. Nine academic library databases were searched for English-language research reports using the keywords “grief trigger(s)” and “research” CINAHL, Directory of Open Access (online) Journals, Humanities Index, JSTOR, Medline (Ovid), Periodicals Index Online, PsychArticles, Scopus, and Web of Science. Six research papers relevant for review were published in the last two decades, with some evidence gained on how often grief triggers occur, what constitutes a grief trigger, and the impact of grief triggers. Major gaps in evidence were revealed, despite grief triggers being identified as a major consideration for grief in general and for grief recovery specifically.

Past survey studies document that people strongly prefer Covid-19 vaccines developed domestically over those developed abroad. Available evidence suggests that this preference for domestic vaccines over foreign ones may stem from prejudice against foreign countries, but identifying prejudice-based vaccine preferences is difficult because people also draw inferences about the quality of vaccines based on country of origin. We exploit a unique opportunity provided by the announcement of a viable vaccine by a bi-national venture, BioNTech and Pfizer, to examine the effect of such prejudice on vaccination intentions while controlling for beliefs about the vaccine quality.

We implemented a survey experiment in Germany and the United States (n=582, 661 respectively) a few days after the BioNTech/Pfizer announcement of a viable vaccine. We randomized the identified company (and country) responsible for the vaccine development between BioNTech (Germany) and Pfizer (U.S.) and asked respondents when they would take said vaccine.

In either the German and U.S. samples, we find little evidence that a country of origin of the vaccine makes a difference in when respondents intend to get vaccinated. We also see no evidence that those with a general animus toward the other foreign country would be more biased against a foreign vaccine.

Our findings suggest that prejudice against foreign countries may be less of a concern for vaccine hesitancy and that its effect may be highly context specific.

Our findings suggest that prejudice against foreign countries may be less of a concern for vaccine hesitancy and that its effect may be highly context specific.Simulation of cm-scale tumor growth has generally been constrained by the computational cost to numerically solve the associated equations, with models limited to representing mm-scale or smaller tumors. While the work has proven useful to the study of small tumors and micro-metastases, a biologically-relevant simulation of cm-scale masses as would be typically detected and treated in patients has remained an elusive goal. This study presents a distributed computing (parallelized) implementation of a mixture model of tumor growth to simulate 3D cm-scale vascularized tissue at sub-mm resolution. The numerical solving scheme utilizes a two-stage parallelization framework. The solution is written for GPU computation using the CUDA framework, which handles all Multigrid-related computations. Message Passing Interface (MPI) handles distribution of information across multiple processes, freeing the program from RAM and the processing limitations found on single systems. CAY10444 On each system, Nvidia’s CUDA library allows for fast processing of model data using GPU-bound computing on fewer systems. The results show that a combined MPI-CUDA implementation enables the continuum modeling of cm-scale tumors at reasonable computational cost. Further work to calibrate model parameters to particular tumor conditions could enable simulation of patient-specific tumors for clinical application.Biological experiments based on organ-on-chips (OOCs) exploit light Time-Lapse Microscopy (TLM) for a direct observation of cell movement that is an observable signature of underlying biological processes. A high spatial resolution is essential to capture cell dynamics and interactions from recorded experiments by TLM. Unfortunately, due to physical and cost limitations, acquiring high resolution videos is not always possible. To overcome the problem, we present here a new deep learning-based algorithm that extends the well-known Deep Image Prior (DIP) to TLM Video Super Resolution without requiring any training. The proposed Recursive Deep Prior Video method introduces some novelties. The weights of the DIP network architecture are initialized for each of the frames according to a new recursive updating rule combined with an efficient early stopping criterion. Moreover, the DIP loss function is penalized by two different Total Variation-based terms. The method has been validated on synthetic, i.e., artificially generated, as well as real videos from OOC experiments related to tumor-immune interaction. The achieved results are compared with several state-of-the-art trained deep learning Super Resolution algorithms showing outstanding performances.

Worldwide, there has been a massive increase in child marriages following the COVID-19 crisis. In Indonesia, too, this figure has risen with Indonesia ranked amongst ten countries with the highest rates of child marriage in the world. One of the Indonesian provinces with a high incidence of child marriage cases is in Nusa Tenggara Barat (NTB).

This study aims to examine what is causing the rate of child marriages to increase since the outbreak of COVID-19 in NTB.

Using snowball sampling techniques, the researcher selected 23 study participants, including ten parents (seven mothers and three fathers) with children who were married underage and 13 adolescents aged 14 to 17years old (ten females and three males) who were married between March and December 2020. They came from two different regencies of NTB Lombok Barat and Lombok Utara.

This study employed qualitative phenomenology as the method of inquiry. Data was obtained through semi-structured in-depth interviews and analyzed in a two-stage coding model.