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the timing and delivery of preparatory education to patients, family, and caregivers about communication abilities in pwMS. This dataset will also be valuable for the reuse/reanalysis required for future investigations into the clinical utility of SiN tasks to monitor disease progression.A qualitative design was performed as individual face-to-face interviews with each participant, following a semi-structured script based on open questions. Participants were interviewed at a specialized clinic, where, during prenatal care, women with stable systemic lupus erythematosus disease were received scheduled consultations. The sample was intentionally composed of women who attended a specialized high-risk clinic, from July 2017 to July 2018. Participants (N = 26) were interviewed in-depth, without refusal. A thematic analysis, according to the 7 steps of the qualitative analysis, was performed. Before conducting interviews, the researcher went through a period of environmental adaptation to the clinic, following a service observation script and maturing the open consultation script questions, to deepen the themes derived from these women's perceptions during the individual interview. Two authors analyzed the material, which was recorded as audio and transcribed in full; later, the material that was organized in the NVIVO 11 software was validated.Human influenza remains a serious public health problem. This data article reports the transcriptome analysis data of human cell lines infected with influenza A/Puerto Rico/8/1934 (H1N1) virus. Mock-infected cells were included as controls. Human embryonic fibroblasts (MRC-5) and immortalized cell lines (A549, HEK293FT, WI-38 VA-13) were selected for RNA sequencing using Illumina NextSeq500 platform. Raw data were applied to the bioinformatic pipeline, which includes quality control with FastQC and MultiQC, adapter and quality trimming with Cutadapt, filtering to the genome of influenza A with STAR, transcript quantification with Salmon tool (GRCh38_RefSeq_Transcripts). Differential expressed genes were identified using R package DESeq2 with FDR-adjusted p-value 1. Lists of differentially expressed genes is provided. The raw and processed RNA-seq data presented in this article were deposited to the European Nucleotide Archive via the ArrayExpress partner repository with the dataset accession number E-MTAB-9511 .Cut roses is one of the important ornamental cut flowers. Many factors affect the loss of postharvest life quality of cut flower, such as temperature, humidity and the presence of ethylene during postharvest storage. In ethylene sensitive roses, ethylene enhances petal discoloration, chlorophyll degradation, petal efflorescence and increase in petal diameter which generating in flower senescence. This data article described the effect of 1-Methylcyclopropene (1-MCP), Salicylic Acid (SA) and its combination on the postharvest life quality of two commercial cut roses varieties, 'Peach Avalanche' and 'Sexy Red'. The flower longevity quality of 1-MCP at 0.5 and 1 µL/L, SA 1.0 and 1.5%, combination of 1-MCP + SA (0.5 + 1.0 µL/L and 1.0 + 1.5%), and untreated flowers were analyzed.This dataset consists of the hourly heat flux for four seasons and orientations of 15 different construction configurations of brick and stone masonry combined with insulation system solutions. The analysis was conducted with the use of Finite Element Modelling (FEM). The development of the models and the investigation of their thermal performance was conducted with the use of thermal modelling and numerical simulation analysis with COMSOL Multiphysics. For this purpose, a transient 2D multi- dimensional, time- dependent simulation model on finite elements was developed. The governing equations of heat transfer were considered as well as the convection and radiation heat transfer coefficients in accordance to the ISO 69462017 [1].Here, we present the data on the biological effects of Hyptis spp. and Lycium spp. plant extracts in Caenorhabditis elegans (C. elegans) models of neurodegenerative diseases, which is related to the work presented in the article "Neurotherapeutic effect of Hyptis spp. leaf extracts in C. elegans models of tauopathy and polyglutamine disease role of the glutathione redox cycle" [1]. This dataset was generated to define non-toxic concentrations of these plant extracts and to assess their impact on the motor phenotype and oxidative stress resistance of transgenic C. elegans models of two genetically defined neurodegenerative diseases Machado-Joseph disease and Frontotemporal dementia with Parkinsonism associated to the chromosome 17. The impact of the plant extracts on toxicity was assessed using the food-clearance assay, absorbance being measured daily for seven days at 595 nm to quantify Escherichia coli (E. coli) strain OP50 bacteria consumption. Worm length and motor behaviour, including spontaneous and stimulated movement, were analysed using videos acquired with an Olympus SZX7 stereomicroscope with an integrated camera (Olympus SC30) and processed using the Image J® software and the Wrmtrck plugin. The resistance to oxidative stress induced by 240 µM juglone was assessed by determining the percentage of live animals after 1 hour of exposure.The signature has long been in use for the user verification. These signatures have user specific features that differentiate the individual for authentication. The signature verification can be offline or online. The offline verification considers only the static features of the signatures through the signature image, while the online verification considers various dynamic features associated with the signature such as pen pressure, pen tilt angle, velocity, acceleration, pen up and pen down, etc at various time stamps which are recorded using special digitizing tablets such as Wacom devices (STU-500, STU-530 and DTU-1031) [1,14] etc. In todays scenario, smartphones are widely used world-wide, and come equipped with various sensors e.g. accelerometer, gyroscope, magnetometer, GPS, etc. able to capture sensor logs and have been used widely in the literature to capture the dynamics of users' behaviour while a signer signs on his smartphone. However, there is scarcity of publicly available databases for the onlis dataset can also be used for behavioural analysis of the users.Industrial, and municipal wastes are part of the main sources of environmental hazards as well as groundwater and surface water pollutions. If not well composed, treated, and safely disposed, it could permeate through the subsurface lithologies by reaching down to the underground water aquifers, particularly in zones of unprotected aquifer units. Pollutants, most especially the landfills leachates that encompassed organic contaminants, ammonia, nitrates, total nitrogen, suspended solids, heavy metals and soluble inorganic salts, i.e., soluble nitrogen, sulphur compound, sulphate and chlorides, could posed undesirable environmental impacts due to inappropriate disposals that may give rise to gaseous fumes and leachate formations. An electrical resistivity geophysical technique utilizing the RES2D no-invasive, cost-effective and rapid method of data collection was integrated with the 3D Oasis Montaj software to approximate the volume of the generated rectangular prism model of the contaminants delineated from mixtures of the industrial, and municipal wastes plumes to be 312,000 m 3.Aromatic (ar)-turmerone is one of the aromatic constituents abundant in turmeric essential oil from Curcuma longa. Ar-turmerone exhibited anti-inflammatory properties. So far, antiplasmodial data for ar-turmerone is still not reported. The data showed the in vitro antiplasmodial effect of ar-turmerone against Plasmodium falciparum 3D7 (chloroquine-sensitive) via Plasmodium lactate dehydrogenase assay (pLDH) and cytotoxic effect against Vero mammalian kidney cells using 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide (MTT) colourimetric assay. Selectivity indexes of ar-turmerone were calculated based on inhibition concentration at 50% of parasite growth (IC50) from MTT and pLDH assays and the effects of ar-turmerone were compared to the antimalarial reference drug chloroquine diphosphate. The inhibitory effect of ar-turmerone at the intraerythrocytic stages of plasmodial lifecycles was evaluated via a stage-dependant susceptibility test. The antiplasmodial and cytotoxic activities of ar-turmerone revealed IC50 values of 46.8 ± 2.4 μM and 820.4 ± 1.5 μM respectively. The selectivity index of ar-turmerone was 17.5. Ar-turmerone suppressed the ring-trophozoite transition stage of the intraerythrocytic life cycle of P. falciparum 3D7.In this article, we provide four data sets for an industrial Chinese Hamster Ovary (CHO) cell line producing antibodies during a 14-day bioreactor run. This cell line was selected for further evaluation because of its significant titer loss as the cells were passaged over time. Four conditions that differed in cell bank ages were run for this dataset. Specifically, cells were passaged to passage 12, 21, 25, and 37 and then used in this experiment. Once the run commenced the following datasets were gathered 1). Glycosylation data for each reactor 2). Size Exclusion Chromatography (SEC) data for the antibodies produced which allowed for the identification of high and low molecular weight species in the samples (N-Glycan and SEC data was taken on day 14 only). 3/4). Metabolites levels measured using Nuclear Magnetic Resonance (NMR) and liquid chromatography-mass spectroscopy (LC-MS) for all reactors over the time course of days 1, 4, 6, 8, 12, and 14. We also provide a graph of the glutamine levels for cells of different ages as an example of the utility of the data. These metabolomics data provide relative amounts for 36 metabolites (NMR) and 109 metabolites (LC-MS) over the 14-day time course. These data were collected in connection with a co-submitted paper [1].This article contains performance data, questionnaire ratings, and EEG data from a differential outcomes learning task from two experiments. In both experiments, the standard differential outcomes learning task was extended to involve a social dimension, in order to capture how people can learn from others by observation. In Experiment 1 (N = 20), using a within-subjects design, participants learned pairings of image stimuli in four conditions 1) individual-differential outcomes, 2) individual-non-differential outcomes, 3) social-differential outcomes, and 4) social-non-differential outcomes. check details The social condition had a screen-captured video recording of the outcomes (but not the actions themselves) of another person performing the task. During the task, the performance of the participants was measured. After the task, participants rated their experience in a questionnaire. The procedure for Experiment 2 (N = 33) was similar to Experiment 1, but with a stronger social manipulation using a video of another person's face showing facial expressions reflecting the outcomes. In addition, EEG was measured while performing the task. For more insight, please see Vicarious value learning Knowledge transfer through affective processing on a social differential outcomes task (Rittmo et al., 2020).

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