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This data includes all the input data for the test instances used in the experiments. The input data consists of three sets of benchmarks including OR-Lib set (40 graphs), TSP-Lib set (20 graphs) and University of Florida Sparse Matrix Collection (3 graphs) .
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Corrosion and Electrochemical Impedance Spectroscopy data of Copper in 1.0 M HCl in the presence and absence of corrosion inhibitors gum arabic, sodium alginate and their blends. The data set also contains the XRD data and SEM image of polymer blends of gum arabic and sodium alginate. SEM and AFM images of the Copper coupons before and after electrochemical corrosion studies are also presented.
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These files contained lab notes on the preparation of hot-pressed plant-based biopolymers and, raw, filtered and analyzed data on bending properties, thermal and structural analysis.
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The Indeterminate Domain (IDD) proteins are a plant specific subclass of C2H2 Zinc Finger transcription factors. Some of these transcription factors play roles in diverse aspects of plant metabolism and development; however the function of most of IDDs is unknown and its molecular evolution has not been explored. Here, Prochetto and Reinheimer reconstructed the evolution of IDDs during plant land conquest. They found that IDDs arose from the common ancestor of Streptophyta. Once in land, IDDs experienced a rapid radiation that accompanied key morphological, physiological and biochemical transitions required in plant terrestrialization. The authors present a solid phylogenetic framework of annotated IDD genes which links genetic and functional knowledge from model to non-model species.
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This dataset archives time lapse images of fluorescent actin in two types of cells (epithelial MCF10A and neutrophil-like HL60) plated on flat or nanoridged surfaces. These images show that nanoridged surfaces are capable of reproducibly guiding actin waves (esotaxis) in both cell types. This dataset is further described in Lee, Campanello, et al. 2020 (https://www.molbiolcell.org/doi/abs/10.1091/mbc.E19-11-0614), the first reporting of this data in the peer-reviewed literature. This publication should be referenced for details on the context and analysis of this data. The included README.TXT provides a more detailed description of the images and methodology. Acknowledgements: We thank the University of Maryland Imaging Incubator Core Facility for use of their spinning disk confocal in collecting these images. Collection of these images was supported by AFOSR grant number FA9550-16-1-0052 as well as by NCI/NIH Award Number T32CA154274 (RML).
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GIS DATASETS: Research_area.zip: the vector map data of the study area; LC08_L1TP_122034_20180417_20180501_01_T1_B3.TIF,LC08_L1TP_122034_20180417_20180501_01_T1_B4.TIF,LC08_L1TP_122034_20180417_20180501_01_T1_B5.TIF,LC08_L1TP_122034_20180417_20180501_01_T1_B8.TIF:the original image data of four bands; Program DATASETS: py.zip:U-net network file(U-Net.py), evaluation procedure(Analysis.py), cutting program(cut_png.py)
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The procreative statistical framework of musical note structures produces a crucial role in multimedia music classification and reconstruction strategies. Another most significant thing for harmonious music composition is the rhythmic structures that provide musical performance in a harmonic form. This paper has illustrated computational music theory and allied factors to regulate what human beings can acquire, remember, and reconstruct music for sustaining intangible cultural heritage. The music strings or symbols are also imperative factors that assist the musicians as performance guidelines. To afford a syntactic outline of musical note arrangements, a stochastic model along with probabilistic context-free music grammar has been illustrated in this paper. The state transition analysis has also been incorporated in terms of transition table and diagram to demonstrate which state can move to the other one within a finite automaton depending on the behaviors of the current state and associated transition rule. Petri net has been used for modeling and simulating the projected complex music composition framework to analyze system performances. The Petri net simulation-based reachability and system efficiency have been evaluated for analyzing the effectiveness of the proposed event-driven architecture. For incorporating real data into the projected framework, the music composition and reconstruction tool has also been demonstrated. The system performance evaluation metric has shown that around 92% efficiency level has been achieved by analyzing the projected music composition model.
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Purpose of the present study was to investigate the association of NKT cells with key ovarian markers (OC) - CA125 in serum. The study describes the assessment of iNKT cells in peripheral blood and tissue of benign and borderline ovarian tumors (BOTs) and in the advanced-stage ovarian cancer. The study group consisted of 25 women with benign ovarian tumors, 11 women with BOTs, and 24 women with primary advanced-stage ovarian cancers. The control group was composed of 20 patients without the ovarian pathology. The percentages of iNKT lymphocytes in the peripheral blood and tissue specimens were assessed by a flow cytometry. Significant differences in the percentage of iNKT+/CD3+ of CD3+ lymphocytes, iNKT+/CD3+/CD161+ among CD3+ and iNKT+/CD3+/CD161+ among CD3+/iNKT+ between the control group and patients with ovarian tumors in the peripheral blood and tumor tissue were found. Significant correlations were noted between the percentage of lymphocytes iNKT+/CD3+/CD161+ of CD3+/iNKT cells in blood and in tumor tissue of both benign and malignant tumors. In the OC group, neither the percentage of iNKT cells in the blood (P=0.07), nor the intra-tumor NKT-cell infiltration (P=0.5) were found to constitute independent prognostic factors for the follow-up. An increased percentage of iNKT cells was observed in benign ovarian tumors compared to OCs. In ovarian cancer patients, a higher percentage of iNKT cells in tumor tissue was present in comparison to that observed in the patient’s blood. Moreover, a correlation between the serum marker CA125 and NKT cells from the ovarian tissue of patients with ovarian cancer was detected. The current paper, for the first time, showed the negative association between concentration of CA125 in serum and NKT lymphocyte from ovarian tissue. Presented findings underscore new aspects of the iNKT cells involvement in the ovarian cancer development. Inflammatory process in ovarian cancer tissue and possibility of endothelial immune cells to infilitrate, could be causes small amount of NKT cells in microenviroment and increased CA125 marker in circulation.
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This dataset represents a high resolution urban land cover classification map across the southern California Air Basin (SoCAB) with a spatial resolution of 60 cm in urban regions and 10 m in non-urban regions. This map was developed to support NASA JPL-based urban biospheric CO2 modeling in Los Angeles, CA. Land cover classification was derived from a novel fusion of Sentinel-2 (10-60 m x 10-60 m) and 2016 NAIP (60 cm x 60 cm) imagery and provides identification of impervious surface, non-photosynthetic vegetation, shrub, tree, grass, pools and lakes. Land Cover Classes in .tif file: 0: Impervious surface 1: Tree (mixed evergreen/deciduous) 2: Grass (assumed irrigated) 3: Shrub 4: Non-photosynthetic vegetation 5: Water (masked using MNDWI/NDWI) A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Support from the Earth Science Division OCO-2 program is acknowledged. Copyright 2020. All rights reserved.
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Julia code used to simulate the data presented in "Surface Temperature Estimation in Determined Multi-Wavelength Pyrometry Systems"
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