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Custom modeling rendering dirt salinity effects upon salt-water uptake and also plant development utilizing a revised denitrification-decomposition product: A phytoremediation tactic.
The overall response rate was 30% (15-100%). Clinical teams developed SMART plans following eight (47%) surveys; three teams have reviewed and reported back on their progress against their plan and started on the second cycle of questionnaires. Challenges included lack of resources (time, finances and electronic data collection tools) and problems with actioning SMART plans. However, teams engaged positively, recognizing the importance of parent experience and actively seeking solutions to problems. CONCLUSIONS Parent-reported experience measures are practical and acceptable quality improvement tools in healthcare but challenges need to be addressed, primarily related to resources, training and sustainability. © The Author(s) 2020. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail [email protected] is an important economic crop plant and traditional medicine. It contains a huge array of bioactive metabolites such as flavonoids, amino acids, alkaloids and vitamins. Consequently, mulberry has received increasing attention in recent years. MMHub (version 1.0) is the first open public repository of mass spectra of small chemical compounds ( less then 1000 Da) in mulberry leaves. The database contains 936 electrospray ionization tandem mass spectrometry (ESI-MS2) data and lists the specific distribution of compounds in 91 mulberry resources with two biological duplicates. ESI-MS2 data were obtained under non-standardized and independent experimental conditions. In total, 124 metabolites were identified or tentatively annotated and details of 90 metabolites with associated chemical structures have been deposited in the database. Supporting information such as PubChem compound information, molecular formula and metabolite classification are also provided in the MS2 spectral tag library. The MMHub provides important and comprehensive metabolome data for scientists working with mulberry. This information will be useful for the screening of quality resources and specific metabolites of mulberry. Database URL https//biodb.swu.edu.cn/mmdb/. © The Author(s) 2020. Published by Oxford University Press.PURPOSE To review and integrate the literature on mental-health-related patient-reported outcome measures (PROMs) and routine outcome measures (ROMs), namely in the domains of goals, characteristics, implementation, settings, measurements and barriers. PROM/ROM aims mainly to ascertain treatment impact in routine clinical practice through systematic service users' health assessment using standardized self-report, caretaker and/or provider assessment. DATA SOURCES Psych INFO and PubMed including Medline, Biomed Central, EMBASE Psychiatry and Elsevier Science's Direct. STUDY SELECTION Systemized review of literature (2000-2018) on implementation and sustainability of PROMs/ROMs in adult mental health settings (MHS). DATA EXTRACTION AND SYNTHESIS Systemized review of literature (2000-2018) on numerous aspects of PROM/ROM implementation and sustainability in adult MHS worldwide. RESULTS Based on 103 articles, PROMs/ROMs were implemented mostly in outpatient settings for people with assorted mental health disorders reserved. For permissions, please e-mail [email protected] Single-cell sequencing (SCS) data provide unprecedented insights into intratumoral heterogeneity. With SCS, we can better characterize clonal genotypes and reconstruct phylogenetic relationships of tumor cells/clones. However, SCS data are often error-prone, making their computational analysis challenging. RESULTS To infer the clonal evolution in tumor from the error-prone SCS data, we developed an efficient computational framework, termed RobustClone. It recovers the true genotypes of subclones based on the low-rank matrix decomposition method with extended robust principal component analysis (RPCA), and reconstructs the subclonal evolutionary tree. RobustClone is a model-free method, which can be applied to both scSNV and scCNV data. It is efficient and scalable to large-scale datasets. We conducted a set of systematic evaluations on simulated datasets and demonstrated that RobustClone outperforms state-of-the-art methods in large-scale data both in accuracy and efficiency. We further validated RobustClone on 2 single-cell SNV and 2 single-cell CNV datasets and demonstrated that RobustClone could recover genotype matrix and infer the subclonal evolution tree accurately under various scenarios. In particular, RobustClone revealed the spatial progression patterns of subclonal evolution on the large-scale 10X Genomics scCNV breast cancer dataset. AVAILABILITY RobustClone software is available at https//github.com/ucasdp/RobustClone. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online. © The Author(s) (2020). Published by Oxford University Press. All rights reserved. For Permissions, please email [email protected] Next-generation sequencing (NGS) data frequently suffer from poor-quality cycles and adapter contaminations therefore need to be preprocessed before downstream analyses. With the ever-growing throughput and read length of modern sequencers, the preprocessing step turns to be a bottleneck in data analysis due to unmet performance of current tools. Extra-fast and accurate adapter- and quality-trimming tools for sequencing data preprocessing are therefore still of urgent demand. RESULTS Ktrim was developed in this work. Key features of Ktrim include built-in support to adapters of common library preparation kits; supports user-supplied, customized adapter sequences; supports both paired-end and single-end data; supports parallelization to accelerate the analysis. Ktrim was ∼2-18 times faster than current tools and also showed high accuracy when applied on the testing datasets. Ktrim could thus serve as a valuable and efficient tool for short-read NGS data preprocessing. AVAILABILITY Source codes and scripts to reproduce the results descripted in this paper are freely available at https//github.com/hellosunking/Ktrim/, distributed under the GPL v3 license. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online. © The Author(s) (2020). Published by Oxford University Press. All rights reserved. For Permissions, please email [email protected] To predict the medical expenditures of individual diabetics and assess the related factors of it. DESIGN AND SETTING Cross-sectional study. SETTING AND PARTICIPANTS Data were collected from the US household component of the medical expenditure panel survey, 2000-2015. MAIN OUTCOME MEASURE Random forest (RF) model was performed with the programs of randomForest in R software. Spearman correlation coefficients (rs), mean absolute error (MAE) and mean-related error (MRE) was computed to assess the prediction of all the models. RESULTS Total medical expenditure was increased from $105 Billion in 2000 to $318 Billion in 2015. rs, MAE and MRE between the predicted and actual values of medical expenditures in RF model were 0.644, $0.363 and 0.043%. learn more Top one factor in prediction was being treated by the insulin, followed by type of insurance, employment status, age and economical level. The latter four variables had no impact in predicting of medical expenditure by being treated by the insulin. Further, after the sub-analysis of gender and age-groups, the evaluating indicators of prediction were almost identical to each other. Top five variables of total medical expenditure among male were same as those among all the diabetics. Expenses for doctor visits, hospital stay and drugs were also predicted with RF model well. Treatment with insulin was the top one factor of total medical expenditure among female, 18-, 25- and 65-age-groups. Additionally, it indicated that RF model was little superior to traditional regression model. CONCLUSIONS RF model could be used in prediction of medical expenditure of diabetics and assessment of its related factors well. © The Author(s) 2020. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. link2 For permissions, please e-mail [email protected] current trends in global warming, it has been suggested that spruce budworm outbreaks may spread to northern parts of the boreal forest. However, the major constraints for a northward expansion are the availability of suitable host trees and the insect winter survival capacity. link3 This study aimed to determine the effect of larval feeding on balsam fir, white spruce and black spruce on various spruce budworm life history traits of both the parental and the progeny generations. Results indicated that the weight of the overwintering larval progeny and their winter survival were influenced by host tree species on which larvae of the parental generation fed. White spruce was the most suitable host for the spruce budworm, producing the heaviest pupae and the heaviest overwintering larvae while black spruce was the least suitable, producing the smallest pupae and the smallest overwintering progeny. Overwintering larvae produced by parents that fed on black spruce also suffered higher winter mortality than individuals coming from parents that fed on balsam fir or white spruce. With current trends in global warming, spruce budworm is expected to expand its range to northern boreal forests where black spruce is the dominant tree species. Such northern range expansion might not result in outbreaks if low offspring winter survival on black spruce persist. © The Author(s) 2020. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For permissions, please e-mail [email protected] Salivary gland (SG) progenitor cells (SGPCs) maintain SG homeostasis. We have previously shown that in primary Sjögren's syndrome (pSS), SGPCs are likely to be senescent, and may underpin SG dysfunction. This study assessed the extent of senescence of cells in a SGPC niche in pSS patients' SGs, and its correlation with functional and clinical parameters. METHODS The expression of p16 and p21 as markers of senescence in both total SG epithelium and a SGPC niche (basal striated duct cells, BSD) was examined in SGs of pSS (n = 35), incomplete pSS (n = 13) (patients with some signs of pSS, but not fulfilling all classification criteria) and non-SS sicca control (n = 21) patients. This was correlated with functional and clinical parameters. RESULTS pSS patient SGs contained significantly more p16+ cells both in the epithelium in general (P less then 0.01) and in the BSD layer (P less then 0.001), than non-SS SGs. Significant correlations were found in pSS patients between p16+ BSD cells and secretion of unstimulated whole saliva, stimulated whole saliva, stimulated parotid saliva, CD45+ infiltrate, ultrasound total score and ACR-EULAR classification score, but not with EULAR Sjögren's syndrome disease activity index (ESSDAI) and EULAR Sjögren's Syndrome Patient Reported Index (ESSPRI) scores. Correlations with total epithelium p16+ cells were weaker. Incomplete pSS patients also had increased numbers of p16+ epithelial and BSD cells. Based on protein and mRNA expression, p21+ appears not to play a significant role in the SG in pSS. CONCLUSION These findings suggest SGPC senescence may be an early feature of primary Sjögren's syndrome and may contribute to defective SG function in pSS but not to systemic disease activity. © The Author(s) 2020. Published by Oxford University Press on behalf of the British Society for Rheumatology.
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