A Detailed Systematic Review on Retinal Image Segmentation Methods.

The separation of blood vessels in the retina is a major aspect in detecting ailment and is carried out by segregating the retinal blood vessels from the fundus images. Moreover, it helps to provide earlier therapy for deadly diseases and prevent further impacts due to diabetes and hypertension. Many reviews already exist for this problem, but those reviews have presented the analysis of a single framework. Hence, this article on retinal segmentation review has revealed distinct methodologies with diverse frameworks that are utilized for blood vessel separation. The novelty of this review research lies in finding the best neural network model by comparing its efficiency. For that, machine learning (ML) and deep learning (DL) were compared and have been reported as the best model. Moreover, different datasets were used to segment the retinal blood vessels. The execution of each approach is compared based on the performance metrics such as sensitivity, specificity, and accuracy using publically accessible datasets like STARE, DRIVE, ROSE, REFUGE, and CHASE. This article discloses the implementation capacity of distinct techniques implemented for each segmentation method. Finally, the finest accuracy of 98% and sensitivity of 96% were achieved for the technique of Convolution Neural Network with Ranking Support Vector Machine (CNN-rSVM). Moreover, this technique has utilized public datasets to verify efficiency. Hence, the overall review of this article has revealed a method for earlier diagnosis of diseases to deliver earlier therapy.

Synthesis of novel nanocomposite of g-C3N4 coated ZnO-MoS2 for energy storage and photocatalytic applications.

Fabrication of heterostructures for energy storage and environmental remedial applications is an interesting subject of research that has been undertaken in this present investigation. The incorporation of g-C3N4 into ZnO:MoS2 heterojunction nanocomposite was accomplished by wet-chemical route and characterized by various techniques to ascertain its structure, morphology, and study its potential electro-optical characteristics. The g-C3N4@ZnO:MoS2 sample was investigated by x-ray diffraction (XRD) which reveals the co-existence of the ZnO, MoS2 and C3N4 phases linked to characteristic crystallographic planes in the spectrum, validating the formation of ternary nanocomposite. The XRD patterns of the pristine samples were also considered as reference to understand the structural evolution and phase transformations. Field emission scanning electron microscopy (FESEM) study states the formation of heterogeneous nanostructures having nanoparticles embedded on 2-D nanosheets like structures. Studies using energy dispersive spectroscopy (EDS) and elemental mapping show that all the elements that are linked to the above hybrid nanocomposite are present. Transmission electron microscopy (TEM) provided clear insights on the microstructure as we can identify the distribution of ZnO and MoS2 nanostructures on layered g-C3N4 nanosheets. The chemical composition and oxidation states of elements were elucidated by X-ray photoelectron spectroscopy (XPS) study, which added another layer of confirmation on the structural evolution of the ternary nanocomposite. Fourier transformed infrared (FTIR) study revealed the layered structure of sp2 hybridized bonding features of C and N in g-C3N4, besides Zn-O and Mo-S stretching vibrations. The nanocomposite demonstrated improved photodegradation efficacy and decomposed alizarin red and methylene blue dyes significantly with better stability and reusability. MoS2 as a co-catalyst acts as an electron acceptor/accelerator in the Z-scheme composite photocatalysis leading to improved photocatalytic efficiency. The resulting heterostructured material delivered a higher specific capacitance of 10.85 F/g with good capacitance retention. Electrochemical study revealed the energy storage capability of the hybrid system.

Comparative evaluation of anticancer potential of Spilanthes paniculata leaf and flower essential oil using annexin V and orosphere formation in oral cancer cell line.

Spilanthes paniculata, a member of the Asteraceae family, is predominantly used as a traditional remedy in addressing oral ailments, particularly gum infections and sore throat. The flowers are chewed to alleviate toothache immediately. This study evaluated a comparison between the essential oils of leaf and flower derived from Spilanthes paniculata targeting the SCC9 oral cell lines using in vitro and in silico approaches. The anticancer activity was performed through an MTT assay, apoptosis assays using annexin V and orospheres formation assays. Molecular docking was performed between five selected phytocompounds against the p53 protein by using AutoDock 4.2.6 software. The results confirmed that the flower essential oil significantly reduced the cell viability in a dose-dependent manner, with an IC50 value of 113.95 µg/mL. The apoptosis assays showed that the flower essential oil was approximately 2.5 times more effective in inducing early apoptosis at 50 µg/mL compared to the essential oil of the leaf. The orosphere formation assays further confirmed the anticancer potential of the flower essential oil. Spathulenol exhibited strong hydrogen bonding with the p53 protein. The ADMET prediction tools were used to predict the in silico pharmacokinetics and drug-like properties of the phytoconstituents. The results suggested that Spathulenol and Nerolidol have high gastrointestinal absorption (GIA), with estimated solubility (ESOL) values of - 3.17 and - 3.22, respectively, falling within the optimal range. These findings suggest that the flower's essential oil efficiently prevented the proliferation of oral cancer and observed a notable degree of cell death, inducing apoptosis and suggesting its significant antiproliferative activity against cancerous cell line which could be explored further for therapeutic applications.

Growth morphology and optical properties of ZnO nanostructures on different substrates.

Growth of ZnO nano and microstructures were carried out by low temperature hydrothermal method on glass and silicon substrates without seed layer. Crystallographic orientation and morphology of the samples were studied by X-ray diffraction (XRD) and scanning electron microscopy (SEM). The transmittance measurements were done by Fourier transformed infrared (FTIR) spectroscopy and a Raman spectrometer was also deployed to understand the vibrational properties of ZnO nanocrystals. XRD and Raman studies showed the formation of hexagonal wurtzite phase of ZnO on both the substrates. Cactus and needle like nanostructures forming rosette superstructure were observed for ZnO on glass substrate. On Si(100), nanorods, tetrapods and multipodes were found with smaller crystallite size. More preferential growth and crystalline nature of ZnO on silicon substrate is discussed on the basis of lattice compatibility between ZnO and Si. The role of interface SiO2 layer, the effective growth mechanism and properties of these nanostructures are also discussed.

Ultrasound assisted synthesis and properties of ZnO:B nanorods and micro flowers.

Nanopowders of ZnO pure and doped with boron have been synthesized through sonochemical method using acetate of the material as starting reagent. The incorporation of boron has been confirmed by inductively coupled plasma-optical emission spectroscopy (ICP-OES) analysis. Continuous (CS) and pulsed (PS) mode syntheses have shown interesting structural and optical properties such as photoluminescence (PL) and ultra-violet (UV) absorption. X-ray diffraction (XRD) studies showed broadening and shifting of peaks with boron incorporation in ZnO leading to size reduction in doped samples. The structure of the nanoparticles was found to be rod like and these rod like structure coalesce in boron doped ZnO. This has been explained on the basis of nucleation of octahedral units in the beginning leading it to tetrahedral structure. Electron microscopy has been used to explain these results. Definite peak shifts towards low wavelength side in absorption band and photoluminescence spectra have been observed for smaller particle size in pulsed mode powder. The blue shift due to particle size has been explained in the light of quantum confinement effect.

Enhanced hydrogen generation efficiency of methanol using dielectric barrier discharge plasma methodology and conducting sea water as an electrode.

In this work, methanol decomposition method has been discussed for the production of hydrogen gas with the application of plasma. A simple dielectric barrier discharge (DBD) plasma reactor was designed for this purpose with two types of electrode. The DBD plasma reactor was experimented by substituting one of the metal electrodes with feebly conducting sea water which yielded better efficiency in producing hydrogen gas. Experimental parameters such as; discharge voltage and time were varied by maintaining a discharge gap of 1.5 mm and the plasma discharge characteristics were studied. Filamentary type micro-discharges were found to be formed which was observed as numerous streamer clusters in the current waveform. Gas chromatographic study confirmed the production of hydrogen gas with residence time around 3.6 min. Although, the concentration (%) of H2 was high (98.1 %) and consistent with copper electrode assembly, the rate of formation and concentration was found to be the highest (98.7 %) for water electrode for specific discharge voltage. The energy efficiency was found to be 0.5 mol H2/kWh and 1.2 mol H2/kWh for metal (Cu) and water electrodes respectively. The electrode material significantly affects the plasma condition and hence the rate of hydrogen production. Compositional analysis of the water used as electrode showed a minimal change in the composition even after the completion of the experiment as compared to the untreated water. Methanol degradation study shows the presence of untreated methanol in the residue of the plasma reactor which has been confirmed from the absorption spectra.