Fanningmoreno2210
This method is practical because it uses readily available reagents and equipment and is sensitive enough for the rapid screening of cyanide poisoning in forensic and clinical toxicology.Paints are a common form of physical evidence encountered at crime scenes. This research presents an optimized method for the untargeted analysis of volatile organic compounds (VOCs) in spray paint using solid-phase microextraction-gas chromatography-mass spectrometry (SPME-GC-MS). The presence and persistence of VOCs were monitored in 30 minute intervals, over a 4 hour period, in a triplicate time study. As predicted, spray paint solvents are lost to the environment readily, whereas few VOCs remained present in the headspace in low concentrations beyond 4 hours. The VOCs that were observed to have the highest persistence in the headspace were aromatic compounds and those with longer hydrocarbon chains. We present this study in a forensic science context and suggest that the interpretation of the results may be useful for forensic applications in establishing a time since deposition of a spray-painted surface.With the development of high-throughput technology and the accumulation of biomedical data, the prior information of biological entity can be calculated from different aspects. Specifically, drug-drug similarities can be measured from target profiles, drug-drug interaction and side effects. Similarly, different methods and data sources to calculate disease ontology can result in multiple measures of pairwise disease similarities. Therefore, in computational drug repositioning, developing a dynamic method to optimize the fusion process of multiple similarities is a crucial and challenging task. In this study, we propose a multi-similarities bilinear matrix factorization (MSBMF) method to predict promising drug-associated indications for existing and novel drugs. Instead of fusing multiple similarities into a single similarity matrix, we concatenate these similarity matrices of drug and disease, respectively. Applying matrix factorization methods, we decompose the drug-disease association matrix into a drug-fea Hunan 410083, P. R. China. E-mail jxwang@mail.csu.edu.cn Supplementary Data Supplementary data are available online at https//academic.oup.com/bib.
The results of studies on observational associations may vary depending on the study design and analysis choices as well as due to measurement error. It is important to understand the relative contribution of different factors towards generating variable results, including low sample sizes, researchers' flexibility in model choices, and measurement error in variables of interest and adjustment variables.
We define sampling, model and measurement uncertainty, and extend the concept of vibration of effects in order to study these three types of uncertainty in a common framework. Metabolism inhibitor In a practical application, we examine these types of uncertainty in a Cox model using data from the National Health and Nutrition Examination Survey. In addition, we analyse the behaviour of sampling, model and measurement uncertainty for varying sample sizes in a simulation study.
All types of uncertainty are associated with a potentially large variability in effect estimates. Measurement error in the variable of interest attenuates the true effect in most cases, but can occasionally lead to overestimation. When we consider measurement error in both the variable of interest and adjustment variables, the vibration of effects are even less predictable as both systematic under- and over-estimation of the true effect can be observed. The results on simulated data show that measurement and model vibration remain non-negligible even for large sample sizes.
Sampling, model and measurement uncertainty can have important consequences for the stability of observational associations. We recommend systematically studying and reporting these types of uncertainty, and comparing them in a common framework.
Sampling, model and measurement uncertainty can have important consequences for the stability of observational associations. We recommend systematically studying and reporting these types of uncertainty, and comparing them in a common framework.
Patients with RA have a higher prevalence of infertility than the general population. This study sought to examine the impact of RA disease activity and treatments on ovarian reserve measured by serum anti-Müllerian hormone (AMH) levels in the ESPOIR cohort. We sought to better define the indications for fertility preservation.
Patients and serum analysis data were derived from the French national cohort ESPOIR. Enrolled patients (n = 102; 18-37-year-olds) fulfilled ACR/EULAR 2010 criteria for RA. Serum AMH levels were measured at T0, T6, T12, T24 and T36 months post-diagnosis. The impacts of RA activity (DAS28 and CRP level) and treatments (MTX only or with other medications) were evaluated at each study visit.
A gradual decrease in patients' serum AMH levels was observed over time, in line with the descending curve described for healthy women. Serum AMH levels of RA patients in comparison with the values considered normal for age did not reveal any significant differences (P > 0.05). We did not observe any impact of RA treatments. We demonstrated an inverse correlation between AMH variation and disease activity (DAS28 r = -0.27, P = 0.003; CRP r = -0.16, P = 0.06).
This is the first study to determine serum AMH levels of a large cohort of RA patients over 36 months. Rapid disease activity control appears to be required to limit changes in the ovarian reserve. Fertility preservation is not likely to be necessary if inflammation is promptly controlled.
NCT03666091.
NCT03666091.
An exploratory study was designed to evaluate the efficacy of granulocyte colony stimulating factor support for chemotherapy consisting of docetaxel, cisplatin and 5-fluorouracil chemotherapy in patients with oesophageal cancer.
The inclusion criteria were as follows (1) oesophageal squamous cell carcinoma, (2) a schedule to receive three courses of induction chemotherapy (docetaxel 75mg/m2 day 1, cisplatin 75mg/m2 day 1, 5-fluorouracil 750mg/m2 days 1-5, every 3weeks), (3) stage IB-III, (4) 20-75years old, (5) 0-1 performance status, (6) preserved organ functions and (7) written informed consent. The endpoints were to evaluate the efficacy of granulocyte colony stimulating factor support including secondary prophylactic usage for docetaxel, cisplatin and 5-fluorouracil chemotherapy. Patients who previously had 'febrile neutropenia', or 'Grade 3 or 4 infection accompanied by grade 3 or 4 neutropenia' prophylactically received granulocyte colony stimulating factor support from day 7.
A total of 91 patients were included in the analysis.