Notes

Reprogramming involving glutamine metabolic process by means of glutamine synthetase silencing causes cisplatin level of resistance within A2780 ovarian cancer malignancy cells.
We introduce a motion dataset from healthy human subjects (n = 125) performing two fine motor control tasks on a graphic tablet, namely circle drawing and circle tracing. The article reports the methods and materials used to capture the motion data. AZD9291 cell line The method for data acquisition is the same as the one used to investigate some aspects of fine motor control in healthy subjects in the paper by Cohen et al. (2018) "Precision in drawing and tracing tasks Different measures for different aspects of fine motor control" (https//doi.org/10.1016/j.humov.2018.08.004) [1]. The dataset shared here contains new raw files of the two-dimensional motion data, as well information on the participants (gender, age, laterality index). These data could be instrumental for assessing other aspects of fine motor control, such as speed-accuracy tradeoff, speed-curvature power law, etc., and/or test machine learning algorithms for e.g., task classification.This article illustrates the dataset that explores the effects of perceived educational supports on entrepreneurial self-efficacy, attitude towards entrepreneurship, subjective norms, perceived behavioral control and entrepreneurial intention. The scales from previous studies were adopted to develop the questionnaires using the five-Likert scale. 2218 fulfilled responses were included in the sample, which recruited from fourteen universities in Vietnam with the similar index. Also, a quantitative method was utilized to examine the dataset. Cronbach's alpha was used to test the reliability of each construct, then explore factory analysis was employed to estimate factor loadings of each observed variables and the validity and discrimination of variables was tested through confirmatory factor analysis. Then, the structural equation modelling was used to estimate the effects of perceived educational support on entrepreneurial intention as well as the other paths.This paper presents data for the assessment of a portable UV-Vis spectrophotometer's performance on predicting stream water DOC and Fe content. The dataset contains DOC and Fe concentrations by laboratory methods, in-situ and ex-situ spectral absorbances, monitoring environmental indexes such as water depth, temperature, turbidity and voltage. The records in Yli-Nuortti river (Cold station, Finland) took place during the hydrological year 2018-2019 and in Krycklan (C4 and C5, Sweden) during the hydrological years 2016-2019. The data analyses were conducted with 'pls' and 'caret' package in R. The correlation coefficient (R), root-mean-square deviation (RMSD), standard deviation (STD) and bias were used to check the performance of the models. This dataset can be combined with datasets from other regions around the world to build more universal models. For discussion and more information of the dataset creation, please refer to the full-length article "Assessment of a portable UV-Vis spectrophotometer's performance for stream water DOC and Fe content monitoring in remote areas" [1].Below is data on the microbial diversity of natural organic matter from the Dispersion Train of Sulfide Tailings (northern Salaire Ridge, southwestern Siberia, Russia, Ursk Village). Data was obtained using 16s rRNA amplicon directed metagenomic sequencing on Illumina MiSeq. The raw sequence data used for analysis is available in NCBI under the Sequence Read Archive (SRA) with BioProject No. PRJNA670045 and SRA accession number SRX9314152, SRX9314376. The data sequences of the 16s rRNA gene are presented at the links MW142408-MW142413, MW142414-MW142447.These data include secondary analysis of publicly available RNA-seq data from castration-resistant prostate cancer (CRPC) patients as well as RT-qPCR and Western blotting analyses of patient-derived xenograft models and a CRPC cell line. We applied Spearman correlation analysis to assess the relationship between canonical androgen receptor (AR) splicing and alternative AR splicing. We also assessed the ratio of AR splice variants (AR-Vs) to the full-length AR (AR-FL) at the RNA and protein levels by absolute RT-qPCR and Western blotting, respectively. These data are critical for studying the mechanisms underlying upregulated expression of AR-Vs after AR-directed therapies and the importance of AR-Vs to castration-resistant progression of prostate cancer. Data presented here are related to the research article by Ma et al., "Increased transcription and high translation efficiency lead to accumulation of androgen receptor splice variant after androgen deprivation therapy", Cancer Lett. In Press [1].The data provided in this article is related to the research article entitled "Phase stabilization and oxidation of a continuous composition spread multi-principal element (AlFeNiTiVZr)1-xCrx alloy" [1]. This data article describes the high-throughput synthesis and characterization processes of an (AlFeNiTiVZr)1-xCrx alloy system. Continuous composition spread (CCS) thin-film libraries were synthesized by co-depositing an AlFeNiTiVZr metal alloy target and Cr target via magnetron sputtering. Post-processing was performed on the sample libraries with a vacuum anneal at 873 K and an air anneal at 873 K. Compositional data was determined via WDS in order to verify parameters provided by an in-house sputter model. Crystallographic data was captured via synchrotron diffraction and diffractograms were compared as a function of the change in Cr concentration. These measurements were taken in order to observe phase behavior after oxidation throughout the composition library. Furthermore, vibrational spectrographic data is provided of the oxidized library to show surface speciation along the composition gradient of the alloy system. The structural and oxidative behavior of the (AlFeNiTiVZr)1-xCrx alloy can be analysed using the data provided in this article. Additionally, this characterization dataset can be utilized in machine learning algorithms for determining important features and parameters for future hypothesis generation of functional multi-principal element alloys (MPEAs).This paper presents data collected from a 5.94 kWp grid connected photovoltaic (PV) plant implemented in hot semi-arid climate of Safi region, Morocco. The data include electrical power production and PV module temperature of three PV technologies mono-crystalline (m-Si), poly-crystalline (p-Si), and amorphous (a-Si); they also include plane of array solar irradiance and ambient temperature. Solar irradiance was measured with calibrated reference cells, inverters provided the produced powers, and the temperatures were obtained by Pt100 probes. The data were measured each 5 min and were remotely accessible through internet. They were preprocessed to eliminate unrepresentative records and were used for the development of simple and accurate models for PV power forecasting [1]. These data are typical for hot semi-arid climate and may be reused for regional forecast of PV power as well as solar energy and PV module temperature predictions.
Homepage: https://www.selleckchem.com/products/azd9291.html