35 research outputs found

    Effect of Sprayed Solution Volume on Structural and Optical Properties of Nickel Oxide Thin Films

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    Undoped Nickel oxide (NiO) thin films were deposited on 500 ˚C heated glass using spray pyrolysis technique. Effect of volume sprayed solution on structural and optical properties of NiO thin films was studied. Volume amount was ranged in 5 – 30 ml and stepped by 5ml. X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR) and UV-visible spectrophotometer were used to investigate elaborated thin films. XRD results show that the deposited films with volume lower than 10 ml is amorphous and with increasing volume up to 10 ml NiO thin films structure become polycrystalline with cubic structure and (111) as preferential orientation. An increase in diffraction intensity of preferred peak and narrowing in full width at half maximum were observed with sprayed volume increasing, which leads to better crystallinity of NiO thin films. Also it was observed that the grain size increased with increasing volume solution and were averaged in 10 – 28 nm. FT-IR analysis of product confirms the NiO bond formation and the results were compared with previous studies. All films exhibit an average optical transparency between 50 % and 80 % in the visible range and their band gap values are ranged in 3.38 – 3.62 eV

    DNA Methylation Profiling Enables Accurate Classification of Nonductal Primary Pancreatic Neoplasms

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    Background & Aims: Cytologic and histopathologic diagnosis of non-ductal pancreatic neoplasms can be challenging in daily clinical practice, whereas it is crucial for therapy and prognosis. The cancer methylome is successfully used as a diagnostic tool in other cancer entities. Here, we investigate if methylation profiling can improve the diagnostic work-up of pancreatic neoplasms. Methods: DNA methylation data were obtained for 301 primary tumors spanning 6 primary pancreatic neoplasms and 20 normal pancreas controls. Neural Network, Random Forest, and extreme gradient boosting machine learning models were trained to distinguish between tumor types. Methylation data of 29 nonpancreatic neoplasms (n = 3708) were used to develop an algorithm capable of detecting neoplasms of non-pancreatic origin. Results: After benchmarking 3 state-of-the-art machine learning models, the random forest model emerged as the best classifier with 96.9% accuracy. All classifications received a probability score reflecting the confidence of the prediction. Increasing the score threshold improved the random forest classifier performance up to 100% with 87% of samples with scores surpassing the cutoff. Using a logistic regression model, detection of nonpancreatic neoplasms achieved an area under the curve of >0.99. Analysis of biopsy specimens showed concordant classification with their paired resection sample. Conclusions: Pancreatic neoplasms can be classified with high accuracy based on DNA methylation signatures. Additionally, non-pancreatic neoplasms are identified with near perfect precision. In summary, methylation profiling can serve as a valuable adjunct in the diagnosis of pancreatic neoplasms with minimal risk for misdiagnosis, even in the pre-operative setting

    The role of microglia in human disease: therapeutic tool or target?

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    MODELLING OF EXTRINSIC FIBER OPTIC SAGNAC ULTRASOUND INTERFEROMETER USED FOR DISPLACEMENT MEASUREMENTS

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    Ultrasonic waves are used extensively in nondestructive testing both for characterization of material properties, in this paper, we describe a fiber optic sensor suitable for detection of ultrasonic waves. This sensor is based on an extrinsic fiber optic sagnac interferometer. The proposed sensor model can act as a conventional in-phase detector or as a narrowband detector. In this study we use methods interference of ultrasonic waves between the source of ultrasonic waves and the object under investigation is exploited. The main advantages of the proposed sensor are the ability to detect ultrasonic waves on the surface; this sensor possesses higher sensitivity and accuracy than the pulse method. The cavity resonator was very successfully used for measurement of small ultrasound velocity changes. The ultrasonic interferometric technique based on phase-locked loop is the most suitable for measurements of small displacements. This method ensures the highest sensitivity and accuracy

    MODELLING OF EXTRINSIC FIBER OPTIC SAGNAC ULTRASOUND INTERFEROMETER USED FOR DISPLACEMENT MEASUREMENTS

    No full text
    Ultrasonic waves are used extensively in nondestructive testing both for characterization of material properties, in this paper, we describe a fiber optic sensor suitable for detection of ultrasonic waves. This sensor is based on an extrinsic fiber optic sagnac interferometer. The proposed sensor model can act as a conventional in-phase detector or as a narrowband detector. In this study we use methods interference of ultrasonic waves between the source of ultrasonic waves and the object under investigation is exploited. The main advantages of the proposed sensor are the ability to detect ultrasonic waves on the surface; this sensor possesses higher sensitivity and accuracy than the pulse method. The cavity resonator was very successfully used for measurement of small ultrasound velocity changes. The ultrasonic interferometric technique based on phase-locked loop is the most suitable for measurements of small displacements. This method ensures the highest sensitivity and accuracy

    Waste and virgin LDPE/PET blends compatibilzed with an ethylene-buthyl acrylate-glycidyl methacrylate (EBAGMA) terpolymer, 1: morphology and mechanical properties

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    This work is aimed at studying the morphology and the mechanical properties of blends of low density polyethylene (LDPE) and poly(ethylene terephthalate) (PET) (10, 20, and 30 wt.-% of PET), obtained as both virgin polymers and urban plastic waste, and the effect of a terpolymer of ethylene-butyl acrylate-glycidyl methacrylate (EBAGMA) as a compatibilizer. LDPE and PET are blended in a single screw extruder twice; the first extrusion to homogenize the two components, and the second to improve the compatibilization degree when the EBAGMA terpolymer is applied. Scanning electron microscopy (SEM) analysis shows that the fractured surface of both the virgin polymer and the waste binary blends is characterized by a gross phase segregation morphology that leads to the formation of large PET aggregates (10–50 µm). Furthermore, a sharp decrease in the elongation at break and impact strength is observed, which denotes the brittleness of the binary blends. The addition of the EBAGMA terpolymer to the binary LDPE/PET blends reduces the size of the PET inclusions to 1–5 µm with a finer dispersion, as a result of an improvement of the interfacial adhesion strength between LDPE and PET. Consequently, increases of the tensile properties and impact strength are observed

    Sclerosing epithelioid mesenchymal neoplasm of the pancreas - a proposed new entity

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