Marseilleviruses A great Revise in 2021

750; SD = 124.829) and other data (n = 2213; within transcripts m = 12.866; SD = 14.452; e.g., background sounds, transcriber notes). Conversational turns were uttered by junior (39.00%) and senior (35.44%) flight crew, and others (25.56%). The dataset enables future research through providing the first integrated dataset on communication behaviours prior to historic aviation accidents. Moreover, the dataset may support safety management through enabling the identification of communication behaviours contributing to accidents and the design of novel interventions. This data-in-brief is a co-submission associated with the research article M. C. Noort, T.W. Reader, A. Gillespie. (2021). Safety voice and safety listening during aviation accidents Cockpit voice recordings reveal that speaking-up to power is not enough. Safety Science.Experiments employing the Phenotype Mammalian Microarray (PM-M) technology were performed on lymphoblastoid cell lines (LCLs) from individuals with autism spectrum disorder (ASD) and age-matched controls. We used the custom-made PM-M plate designed to assess differential utilization of the amino acid tryptophan. Multiple parameters such as the sample size, incubation time, and cell concentration have been tested, leading to optimized protocols and minimized background noise by variable selection while controlling for false discoveries. The assay generated data based on the production of nicotinamide adenine dinucleotide (NADH) in the presence of different compounds containing tryptophan and showed clear differences between ASD and control samples.The article depicts a unique dataset of responses from 791 adults to a self-made questionnaire of five sections sent via Google survey tool (Google form) from February 4, 2021, to March 18, 2021 [1]. We collected responses for establishing a paradigm of the relationship between the social networking sites (SNS) use and four dimensions of psychological distress including depression, anxiety, loneliness, and sleep disturbances. Facebook is the most popular social media in Bangladesh, we observed 669 Facebook users and 122 non-Facebook-users aged between 15 to 40 years in this data set. GS-9674 price We analyzed the collected data using the Microsoft Excel (version 2016) and presented as frequencies and percentages based on responses to the whole survey. The survey contained items focusing on (i) sociodemographic information, (ii) usage patterns of SNS, (iii) assessment of mental health problems. We collected responses from all across the country regardless of sociodemographic background. Therefore, government authorities and healthcare providers can use this data for dealing with the mental health issues concerning the use of SNS.We performed in-situ tensile tests on two carbon fibre/epoxy composites with continuous scanning using synchrotron computed tomography (CT). Both composites were cross-ply laminates, and two specimens were tested for each composite. The voxel size was sufficiently small to recognize individual fibres and fibre breaks. For each test, 16-19 volumes were reconstructed, cropped down to the 0° plies and analysed to track fibre break and cluster development. This dataset provides the last CT volume before failure for each of the four specimens as well as the individual fibre break locations in all reconstructed volumes. These data are then plotted against predictions from six state-of-the-art strength models. The target is that these data become a benchmark for the development of new models, inspiring researchers to set up refined experiments and develop improved models.Proteolytic subunit of the caseinolytic protease system of Plasmodium knowlesi (Pk-ClpP; EC 3.4.21.92) is considered a viable target for antimalarial drug development to eradicate P. knowlesi malaria infection in Malaysia and Southeast Asian region. Inhibition of this system leads to a disruption in the protein homeostasis molecular machinery and therefore be lethal for the parasite. While plants are considered excellent sources of bioactive compounds exhibiting inhibition activity towards Pk-ClpP, many local medicinal plants remain unexplored. This article expands the data collected from the inhibition properties of the methanolic extract of Asystasia gangetica (Chinese Violet), Alstonia scholaris (Pulai Tree), Piper retrofractum (Javanese Long Pepper) and Smallanthus sonchifolius (Yacon) towards Pk-ClpP. These plants are widely found in Malaysia and Indonesia and have been traditionally used in various medical treatments. The present dataset showed that the extracts contained phenolic and flavonoid compounds in various concentrations, whereby S. sonchifolius was found to have the lowest content of phenolic and flavonoid contents, while A. gangetica and A. scholaris were statistically comparable, yet higher than P. retrofactum and S. sonchifolus. Further inhibition data assay towards Pk-ClpP revealed that A. gangetica, A. scholaris and P. retrofactum demonstrated remarkable inhibition activity with IC50 values of 39.06 ± 1.98, 48.92 ± 1.52, and 87.63 ± 3.55, respectively. However, the inhibition activity of these extracts was significantly lower than a serine protease inhibitor of phenylmethylsulfonyl fluoridenone (PMSF). Meanwhile, S. sonchifolus did not exhibit significant inhibition activity towards Pk-ClpP. In addition, Pk-ClpP was not inhibited by a cysteine protease inhibitor of E64.Densely labelled segmentation data for digital pathology images is costly to produce but is invaluable to training effective machine learning models. We make available 290 hand-annotated histopathology tissue sections of the 3 most common skin cancers; basal cell carcinoma (BCC), squamous cell carcinoma (SCC) and intraepidermal carcinoma (IEC). These non-melanoma skin cancers constitute over 90% of all skin cancer diagnoses and hence this dataset gives an opportunity to the scientific community to benchmark analytic methodologies on a significant portion of the dermatopathology workflow. The data represents typical cases of the three cancer types (not requiring a differential diagnosis) across shave, punch and excision biopsy contexts. Each image is accompanied with a segmentation mask which characterizes the section into 12 tissue types, specifically keratin, epidermis, papillary dermis, reticular dermis, hypodermis, inflammation, glands, hair follicles and background, as well as BCC, SCC and IEC. Included also are cancer margin measurements to work towards automated assessment of surgical margin clearance and tumour invasion. This leaves open many opportunities for researchers to utilize or extend the dataset, building upon recent work on image analysis problems in skin cancer (Thomas et al., 2021).Paraneoplastic syndromes are rare conditions associated with characteristic autoantibodies produced by malignancy, although similar autoantibodies and clinical presentations may occur in the absence of any neoplasm. Testing for paraneoplastic syndromes often involves panels of autoantibody assays. While autoantibody testing may reveal or confirm actionable clinical diagnoses, inappropriate utilization of testing may be low yield and further lead to false positives that may confuse the clinical picture. There is thus opportunity to improve patient care by analyzing patterns of paraneoplastic autoantibody test utilization. The data in this article provides results from detailed retrospective review of patients tested by 7 autoantibody tests or test panels offered by two large reference laboratories in the United States. The data include 1,446 tests performed on 1,338 unique patients at an academic medical center. For all results, detailed chart review revealed main category of presenting symptoms, patient location at time of testing (either inpatient or outpatient), sex, age, whether cancer was present at the time of testing or later detected, and the specific results of the testing. The data are summarized by category of testing and specific autoantibodies.We provide functional connectivity matrices generated during functional magnetic resonance imaging (fMRI) during different tasks of cognitive control in healthy aging adults. These data can be used to replicate the primary results from the related manuscript Reconfiguration and dedifferentiation of functional networks during cognitive control across the adult lifespan (Rieck et al., 2021). One-hundred-forty-four participants (ages 20-86) were scanned on a Siemens 3T MRI scanner while they were completing tasks to measure functional activity during inhibition, initiation, shifting, and working memory. Estimates of functional connectivity (quantified with timeseries correlations) between different brain regions were computed using three different brain atlases Schaefer 100 parcel 17 network atlas (Schaefer et al., 2018; Yeo et al., 2011), Power 229 node 10 network atlas (Power et al., 2011), and Schaefer 200 parcel 17 network atlas (Schaefer et al., 2018; Yeo et al., 2011). The resulting functional connectivity.
To probe the potential of apparent diffusion coefficient (ADC) to rectify the incidentally detected bone lesion on MRI into benign or malignant lesions.
We retrospectively recruited 44 patients (24 males and 20 females); with 52 bone lesions, who underwent diffusion weighted (DW) imaging using multiple b-values on 3T MRI. ADC maps were derived and analyzed by two radiologists; blinded to the final diagnosis. The mean ADC values were used for statistical analyses. The diagnosis was deduced by histopathological confirmation; in 32 lesions and strict clinical and imaging follow-up for at least 12 months; in 20 lesions.
The mean ADC value (mean±SD) of all malignant tumors (including cartilaginous neoplasms) was [0.92±0.40] ×10-3 mm
/s. This significantly differed from those of both primary benign tumors [1.14±0.24] ×10-3 mm
/s, (p=0.011), and all non-malignant lesions collectively [1.29±0.44] ×10-3 mm
/s, (p<0.001). Using mADC value of ≤1.1×10-
mm
/s resulted in 86.1% sensitivity and 62.5% specificity for characterizing a lesion as a malignant. The inter-rater reliability was almost perfect (95% CI = 0.954-0.985).
ADC could be a non-invasive in-vivo surrogate that may be able to discern the incidentally discovered osseous lesions into benign and malignant pathologies and guide further diagnostic workup.
ADC could be a non-invasive in-vivo surrogate that may be able to discern the incidentally discovered osseous lesions into benign and malignant pathologies and guide further diagnostic workup.
Although rapid molecular diagnostic tests for tuberculosis (TB) have decreased detection time of
and drug resistance, whether their use improves clinical care and outcomes is uncertain. To address these knowledge gaps, we evaluated whether use of the Xpert MTB/RIF assay impacts treatment and clinical outcome metrics among patients treated for sputum smear-negative multidrug-resistant (MDR)-TB.
We conducted a retrospective cohort study of adult patients initiating treatment for sputum smear-negative MDR-TB at the National Center for Tuberculosis and Lung Diseases in Tbilisi, Georgia from 2011 to 2016. The Xpert MTB/RIF was introduced in Georgia in 2010 and implemented into programmatic use in 2014. Exposure was availability of an Xpert result at time of diagnosis. Time to second-line treatment initiation, sputum culture conversion, and end-of-treatment outcomes were determined. Time to event was compared using a Cox proportional hazards model.
Among 151 patients treated for sputum smear-negative MDR-TB (96% culture positive), the Xpert was utilized in the clinical management of 78 (52%) patients and not used in 73 (48%).