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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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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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There is a detailed Readme.pdf in the files for the informations about the dataset. The main purpose is providing a dataset for the vibration behavior of a robot manipulator system under the control input of model-associative vibration control (MAVC) prodecure. Velocity profile is shown as [∗,𝑡𝑐𝑜𝑛,𝑡𝑑𝑒𝑐,𝑡𝑚] in study. In the case studies for both simulations and experiments, the parameters are varied as follows; 𝑡𝑐𝑜𝑛 can be valued as 0, 𝑡1ℎ or 2𝑡1ℎ, 𝑡𝑑𝑒𝑐 can be valued as 𝑡1ℎ,2𝑡1ℎ,3𝑡1ℎ,4𝑡1ℎ or 5𝑡1ℎ and 𝑡𝑚 can be valued as 1 or 1.5 seconds for corresponded 90 or 135 angular displacements. Thus thirty different velocity profiles are produced with aim to performed on system. Cases are invastigated with and without performing the MAVC procedure. Than the robot manipulator is examined for both unloaded and loaded cases, therefore total one hundred twenty cases are occured. More details can be found in related study.
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Termites are present in different environments, they perform the functions of cycling organic compounds in the soil and decomposing organic matter. Through this behavior, some species can generate great economic losses in the agricultural environment for some cultures. Such insects can communicate through semi-chemical and vibroacystic signals. These signals transmit different types of messages. The vibroacoustic signals occur when there is interaction between the generated vibrating waves, which can, consequently, generate understandable optical interference phenomena when light is applied, one of these phenomena that can be understood is the dynamic biospeckle. It is proposed in this research, to evaluate the bioactivity of the termite Nasutitermes corniger (Insecta: Isoptera) during the walk using the optical phenomenon of interference Biospeckle. Termites were collected in colonies present on the University campus of the Federal University of Sergipe-UFS. 25 individuals were randomly selected, distributed in 5 groups. Such individuals will be submitted to the simulation activity of walking in arenas created using Petri dishes (14 x 1.5 cm) which were exposed to laser light, during the movement of the insect videos were captured which were later processed using the Generalized Differences Method and the Moment of Inertia. It was possible to detect the areas of walking and of greater activities caused naturally by the groups of Nasutitermes corniger present in the arenas, as well as the method of MI showed to be significantly different when analyzed before and during the walking. Thus, it is possible to analyze the walking activity of Nasutitermes corniger by means of dynamic biospeckle in different types of light, which can be applied as a possible tool to evaluate the termite's bioactivity.
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