Henriksenbagge5405

S. adults' spatial access to MOUD - specifically locations of certified Opioid Treatment Programs (OTPs) and DATA-waived Buprenorphine providers. A gravity-based variant of the enhanced two-step floating catchment area model is employed, where friction of distance is based on previously published willingness to travel distances for patients visiting OTPs, to assess how opioid agonist treatment accessibility varies across the nation. Findings suggest that there are extensive 'treatment deserts' where there is little to no physical access to MOUD, especially in rural areas. The significance of this work lies in the incorporation of treatment utilization behavior in the access metric, and the continued confirmation of gaps in access to OUD services despite federal efforts to improve accessibility.Investigating the spatial epidemic dynamics of COVID-19 is crucial in understanding the routine of spatial diffusion and in surveillance, prediction, identification and prevention of another potential outbreak. However, previous studies attempting to evaluate these spatial diffusion dynamics are limited. Using city as the research unit and spatial association analysis as the primary strategy, this study explored the changing primary risk factors impacting the spatial spread of COVID-19 across Chinese cities under various diffusion assumptions and throughout the epidemic stage. check details Moreover, this study investigated the characteristics and geographical distributions of high-risk areas in different epidemic stages. The results empirically indicated rapid intercity diffusion at the early stage and primarily intracity diffusion thereafter. Before countermeasures took effect, proximity, GDP per capita, medical resources, outflows from Wuhan and intercity mobility significantly affected early diffusion. With speedily effective countermeasures, outflows from the epicenter, proximity, and intracity outflows played an important role. At the early stage, high-risk areas were mainly cities adjacent to the epicenter, with higher GDP per capita, or a combination of higher GDP per capita and better medical resources, with more outflow from the epicenter, or more intercity mobility. After countermeasures were effected, cities adjacent to the epicenter, or with more outflow from the epicenter or more intracity mobility became high-risk areas. This study provides an insightful understanding of the spatial diffusion of COVID-19 across cities. The findings are informative for effectively handling the potential recurrence of COVID-19 in various settings.This study analyses the changes in mental health in the UK that occurred as a result of the 2016 referendum on UK membership of the EU (Brexit). Using the Household Longitudinal Study, we compare the levels of self-reported mental distress, mental functioning and life satisfaction be-fore and after the referendum. A linear fixed effects analysis revealed an overall decrease in mental health post-referendum with higher levels of mental distress, and a decline in the SF-12 Mental Component Summary score. Furthermore, the study does not find evidence of significant changes in overall life satisfaction in the two years after the referendum. Younger men, highly educated and Natives, especially those living in stronger "Remain areas", seem to be the groups most affected by the Brexit in terms of mental health. Overall, the results of this study suggest that the outcome of the referendum and the economic uncertainty that it brought impacted the mental health of voters in a negative and diverging way.We estimate the impact of a cash transfer targeting new mothers on their subsequent children's health outcomes at birth. We exploit the unexpected introduction of a generous, universal child benefit in Spain in 2007. Using population-wide, individual-level, high-quality administrative data from birth records and a regression discontinuity approach, we find that women who received the benefit were much less likely to have low-birth-weight children in the future (while their subsequent fertility was unaffected). The overall effect is driven by poor women, unmarried women, and women with low education, and by births taking place relatively soon after the benefit receipt. The €2500 transfer led to a 0.7 percentage-point decline in the fraction of children born under 1500 g in poorer households in the following five years, an 83% reduction. We explore the underlying channels, and find evidence supporting faster intrauterine growth, possibly driven by better maternal health, nutrition, and behaviors. Gestation length, family structure, and parental employment do not seem to play a role. Recent research suggests that targeting pregnant women may be more effective than later interventions (such as cash transfers to families with children), given the strong persistence of fetal health effects. Our results suggest that the impact may be stronger if women are targeted even earlier, before conception.

We aimed to develop a deep learning-based segmentation system for rapid on-site cytopathology evaluation (ROSE) to improve the diagnostic efficiency of endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) biopsy.

A retrospective, multicenter, diagnostic study was conducted using 5345 cytopathological slide images from 194 patients who underwent EUS-FNA. These patients were from Nanjing Drum Tower Hospital (109 patients), Wuxi People's Hospital (30 patients), Wuxi Second People's Hospital (25 patients), and The Second Affiliated Hospital of Soochow University (30 patients). A deep convolutional neural network (DCNN) system was developed to segment cell clusters and identify cancer cell clusters with cytopathological slide images. Internal testing, external testing, subgroup analysis, and human-machine competition were used to evaluate the performance of the system.

The DCNN system segmented stained cells from the background in cytopathological slides with an F1-score of 0·929 and 0·899-0·938 in internal and external testing, respectively. For cancer identification, the DCNN system identified images containing cancer clusters with AUCs of 0·958 and 0·948-0·976 in internal and external testing, respectively. The generalizable and robust performance of the DCNN system was validated in sensitivity analysis (AUC > 0·900) and was superior to that of trained endoscopists and comparable to cytopathologists on our testing datasets.

The DCNN system is feasible and robust for identifying sample adequacy and pancreatic cancer cell clusters. Prospective studies are warranted to evaluate the clinical significance of the system.

Jiangsu Natural Science Foundation; Nanjing Medical Science and Technology Development Funding; National Natural Science Foundation of China.

Jiangsu Natural Science Foundation; Nanjing Medical Science and Technology Development Funding; National Natural Science Foundation of China.

To explore the perception of mothers about Acute Respiratory Infections (ARIs) and their risk factors affecting children Under 5 Years (U5Ys) in Fiji.

This was a qualitative study done in the Integrated Management of Childhood Illness (IMCI) Clinic in Ba Hospital, Fiji. Mothers who had brought in their children with ARIs were selected through a purposive sampling method. A semi-structured open-ended questionnaire was used to guide in-depth interviews. The interviews were transcribed and the thematic analysis was done to look at the themes and sub-themes that emerged.

A total of 30 mothers were interviewed. There were five themes that were derived from the interviews including the mothers' perception of ARIs; treatment methods; perceived barriers; services provided by IMCI clinic; and recommendations and suggestions. The mothers were familiar with the causes, risk factors and able to recognize severity of ARIs based on the local context. They mostly relied on traditional and home remedies for ARIs. Most er to answer the question regarding the perceptions of the mothers of ARIs and the risk factors and design tailored interventions to prevent ARIs among children.In this work, one oxidomethoxidovanadium(V) [VVO(L)(OMe)] (1) and two mixed-ligand oxidovanadium(IV) [VIVO(L)(phen)] (2), and [VIVO(L)(bipy)] (3) complexes have been synthesized using a tridentate bi-negative ONS donor dithiocarbazate as main ligand, H2L [where, H2L = S-benzyl-3-(2-hydroxy-3-ethoxyphenyl)methylenedithiocarbazate] along with 1,10-phenanthroline (phen) (for 2) and 2,2'-bipyridine (bipy) (for 3) as co-ligands. The ligand and complexes have been characterised by FT-IR, UV-vis, NMR, and HR-ESI-MS techniques. Distorted square pyramidal for 1, and distorted octahedral geometry for 2 and 3 was confirmed by single crystal X-ray crystallography. The behavior of 1-3 in solution medium has been investigated through various physicochemical techniques. It is observed that 1 completely and 2-3 partially decomposes and converts into a penta-coordinated species, [VIVO(L)(DMSO/H2O)] after the release of the methoxido group (1) or breaking of the diimine based co-ligands (2 and 3) in DMSO/aqueous solution. Interestingly, in DMSO/aqueous solution, 1 gets completely reduced and converted into the corresponding oxidovanadium(IV) species. Interaction of 1-3 with calf thymus DNA (CT-DNA) was investigated and the results show, complex 2 exhibited the maximum binding constants, Kb = 7.12 × 104 M-1. The anticancer potential of 1-3 was evaluated by cell viability assay against human breast carcinoma cell, MCF-7, and noncancerous mouse embryonic cell, NIH-3T3 and 2 was found to be the most cytotoxic complex (IC50 = 6.73 ± 0.36 μM) in the series. In addition, 2 selectively inhibit colony formation compared to the rest complexes. Also, the cell cycle studies of the complexes were performed using flow cytometry analysis.Cancer stem cells (CSCs) virtually present in all tumors albeit in small numbers are primarily responsible for driving cancer progression, metastasis, drug resistance, and recurrence. Prostate cancer (PCa) is the second most frequent cancer in men worldwide, and castration resistant prostate cancer (CRPC) remains a major challenge despite the tremendous advancements in medicine. Currently, none of the available treatment options are effective in treating CRPC. We earlier reported that VNPP433-3β, the lead next-generation galeterone analog is effective in treating preclinical in vivo models of CRPC. In this study using RNA-seq, cytological, and biochemical methods, we report that VNPP433-3β inhibits prostate CSCs by targeting key pathways critical to stemness and epithelial-mesenchymal transition. VNPP433-3β inhibits CSCs in PCa, presumably by degrading the androgen receptor (AR) thereby decreasing the AR-mediated transcription of several stem cell markers including BMI1 and KLF4. Transcriptome analyses by RNA-seq, Ingenuity Pathway Analysis, and Gene Set Enrichment Analysis demonstrate that VNPP433-3β inhibits transcription of several genes and functional pathways critical to the prostate CSCs thereby inhibiting CSCs in PCa besides targeting the bulk of the tumor.

The extent of interstitial fibrosis in the kidney not only correlates with renal function at the time of biopsy but also predicts future renal outcome. However, its assessment by pathologists lacks good agreement. The aim of this study is to construct a machine learning-based model that enables automatic and reliable assessment of interstitial fibrosis in human kidney biopsies.

Validated cortex, glomerulus and tubule segmentation algorithms were incorporated into a single model to assess the extent of interstitial fibrosis. The model performances were compared with expert renal pathologists and correlated with patients' renal functional data.

Compared with human raters, the model had the best agreement [intraclass correlation coefficient (ICC) 0.90] to the reference in 50 test cases. The model also had a low mean bias and the narrowest 95% limits of agreement. The model was robust against colour variation on images obtained at different times, through different scanners, or from outside institutions with excellent ICCs of 0.