• Price Paul posted an update a month ago

    033), longer initial hospital length of stay (

    = 0.001), and more complications (

    = 0.025). On multivariable analysis controlling for all of these factors, only initial hospital length of stay (OR 1.63; 95% CI 1.07-2.49;

    = 0.024) was associated with a delay in PMRT.

    Over a quarter of patients not undergoing adjuvant chemotherapy have a delay in PMRT beyond 12weeks from the time of mastectomy. Length of initial hospital stay is the key driver in delaying PMRT.

    Over a quarter of patients not undergoing adjuvant chemotherapy have a delay in PMRT beyond 12 weeks from the time of mastectomy. Length of initial hospital stay is the key driver in delaying PMRT.This protocol focuses on the culture of cells harvested from hepatocellular carcinoma (HCC) patient-derived xenografts (PDXs) as organoids using a cellulosic macroporous sponge scaffold. Compared with many other epithelial cancer types, the viability of HCC cells directly derived from patients or PDX models is notoriously challenging to maintain in vitro. We previously developed a macroporous sponge scaffold uniquely designed to provide biochemical and mechanical cues that support the culture of normal hepatocytes as spheroids with maintained functionality. Leveraging our success using this sponge scaffold to maintain normal hepatocytes in vitro, we recently demonstrated that a similar sponge scaffold enables the maintenance of HCC PDX cells as organoids with preserved viability, molecular features, and heterogeneity.Induced pluripotent stem cells (iPSCs) are attractive for use in early drug discovery because they can differentiate into any cell type. Maintenance cultures and differentiation processes for iPSCs, however, require a high level of technical expertise. To overcome this problem, technological developments such as enhanced automation are necessary to replace manual operation. In addition, a robot system with the flexibility and expandability to carry out maintenance culture and each of the required differentiation processes would also be important. In this study, we established a platform to enable the multiple processes required for iPSC experiments using the Maholo LabDroid, which is a humanoid robotic system with excellent reproducibility and flexibility. The accuracy and robustness of Maholo LabDroid enabled us to cultivate undifferentiated iPSCs for 63 days while maintaining their ability to differentiate into the three embryonic germ layers. Maholo LabDroid maintained and harvested iPSCs in six-well plates, then seeded them into 96-well plates, induced differentiation, and implemented immunocytochemistry. As a result, Maholo LabDroid was confirmed to be able to perform the processes required for myogenic differentiation of iPSCs isolated from a patient with muscular disease and achieved a high differentiation rate with a coefficient of variation (CV) less then 10% in the first trial. Furthermore, the expandability and flexibility of Maholo LabDroid allowed us to experiment with multiple cell lines simultaneously.Military sexual trauma (MST), defined as sexual assault or repeated, threatening sexual harassment while in the military, is associated with increased risk of long-term mental and physical health problems, with the most common being symptoms of post-traumatic stress disorder (PTSD) and depression. PP2 in vitro In addition to PTSD and depression, MST is linked to difficulties in emotion regulation as well as poor treatment engagement. Thus, it is important to examine these correlates, and how they affect postintervention symptom reduction in this vulnerable population. The current study presents secondary data analyses from a randomized clinical trial comparing the efficacy of in-person versus telemedicine delivery of prolonged exposure therapy for female veterans with MST-related PTSD (n = 151). Results of the study found that changes in difficulties with emotion regulation predicted postintervention depressive symptoms but not postintervention PTSD symptoms. Neither postintervention depressive nor PTSD symptoms were affected by treatment dosing (i.e., number of sessions attended) nor treatment condition (i.e., in-person vs. telemedicine). Findings from the current study provide preliminary evidence that decreases in difficulties with emotion regulation during PTSD treatment are associated with decreases in depressive symptom severity.This paper presents an approach named sensitivity-driven simulation development (SDSD), where the use of sensitivity analysis (SA) guides the focus of further simulation development and refinement efforts, avoiding direct calibration to validation data. SA identifies assumptions that are particularly pivotal to the validation result, and in response model ruleset refinement resolves those assumptions in greater detail, balancing the sensitivity more evenly across the different assumptions and parameters. We implement and demonstrate our approach to refine agent-based models of forcibly displaced people in neighbouring countries. Over 70.8 million people are forcibly displaced worldwide, of which 26 million are refugees fleeing from armed conflicts, violence, natural disaster or famine. Predicting forced migration movements is important today, as it can help governments and NGOs to effectively assist vulnerable migrants and efficiently allocate humanitarian resources. We use an initial SA iteration to steer the simulation development process and identify several pivotal parameters. We then show that we are able to reduce the relative sensitivity of these parameters in a secondary SA iteration by approximately 54% on average. This article is part of the theme issue ‘Reliability and reproducibility in computational science implementing verification, validation and uncertainty quantification in silico’.We present the VECMA toolkit (VECMAtk), a flexible software environment for single and multiscale simulations that introduces directly applicable and reusable procedures for verification, validation (V&V), sensitivity analysis (SA) and uncertainty quantication (UQ). It enables users to verify key aspects of their applications, systematically compare and validate the simulation outputs against observational or benchmark data, and run simulations conveniently on any platform from the desktop to current multi-petascale computers. In this sequel to our paper on VECMAtk which we presented last year we focus on a range of functional and performance improvements that we have introduced, cover newly introduced components, and applications examples from seven different domains such as conflict modelling and environmental sciences. We also present several implemented patterns for UQ/SA and V&V, and guide the reader through one example concerning COVID-19 modelling in detail. This article is part of the theme issue ‘Reliability and reproducibility in computational science implementing verification, validation and uncertainty quantification in silico’.

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