Total edge irregularity strength of join of path and complement of a complete graph

An edge irregular total k-labeling of a graph G is a labeling of the vertices and edges of G with labels from the set {1, 2, ..., k} in such a way that any two different edges have distinct weights. The weight of an edge uv is the sum of the label of uv and the labels of vertices u and v. The minimum k for which the graph G has an edge irregular total k-labeling is called the total edge irregularity strength of G. In this paper, we determine the exact value of the total edge irregularity strength of Pn + Km.Publisher's Versio

1,3,4-Oxadiazole Dimers: New and Effective corrosion inhibitors for mild steel in sulphuric acid solution

The corrosion inhibition property of 1,3,4-Oxadiazole dimers have been investigated for mild steel in acidic environment using gravimetric method, Tafel polarization, electrochemical impedance spectroscopy (EIS), scanning electron microscope (SEM), atomic absorption spectroscopy (AAS) and adsorption isotherm. The results revealed that 1,3,4-Oxadiazole dimers had excellent corrosion inhibition property for mild steel in 1M H2SO4 acid media and its inhibitive efficiency was more than 99% even with a low concentration of 1000ppm.The adsorption of the organic compounds on the mild steel surface obeyed Langmuir adsorption  isotherm. IR spectra and SEM proved the adsorption of organic inhibitors and the formation of corrosion products on the mild steel surface.Â

PANI blended MoS2 decorated GO ternary nanocomposite for efficient electrochemical sensing of crucial components in food and beverages

An electrochemical detection dependent on Polyaniline (PANI) blended MoS2 decorated GO (MoS2/PANI@GO) ternary nanocomposite has been developed and used for selective and concomitant determination of Vanillin (VAN), Theophylline (TP) and Caffeine (CAF). The surface morphology and structural properties of the composite are denoted by various scientific methods. The electrochemical behaviour of MoS2/PANI@GO has been investigated by Cyclic Voltammetry (CV) and Differential Pulse Voltammetry (DPV). The electrochemical oxidation (anodic) peaks have been observed at 0.59, 1.1 and 1.36v in phosphate buffer (pH 7) for Vanillin, Theophylline and Caffeine, respectively. A good linear current response and limit of detection of 0.043, 0.062 and 0.07 of VAN, TP and CAF, are obtained respectively. The concocted electrode reveals low detection limit, wide linear range, excellent reproducibility, high acuteness and stability. The study is also continued to the analysis of the certain components in the commercial foods and beverage samples

Modification of glassy carbon electrode with trigona carbon nanopetals/ferrocene/gold nanoparticles nanocomposite for electrochemical detection of dopamine

In this study, we have synthesized a composite using carbon material derived from bio-inspired onion peel morphology like 2D trigona carbon nano petals (TCP) incorporated with ferrocene (FC). The FC is added with the purpose of improving the electrochemical behaviour of TCP. Further, to increase the number of electrochemically active sites in the composite, gold nanoparticles (AuNPs) were again decorated on TCP/FC, and thus derived electrochemically active TCP/FC/AuNPs nanocomposite. We have characterized the properties and surface morphology of this nanocomposite through spectroscopic and microscopic techniques. Further, using this nanocomposite for surface modification of glassy carbon electrode, we have developed an efficient GCE-TCP/FC/AuNPs electrode. The electrochemical efficiency of this electrode has been inspected through sensing and quantification of pharmaceutically valuable biomolecule dopamine through CV, DPV and square wave voltammetry techniques. The observed CV results reveals that the newly designed GCE-TCP/FC/AuNPs electrode has an ability to detect the dopamine with wide linear range of concentration from 5.96 × 10-6 to 0.1 × 10-4 M and its limit of detection was 2.9 × 10-6 M under 0.1 M phosphate buffer medium (pH 7.0). Therefore, it is important to mention here that this newly fabricated electrode can very well be used for real time sample analysis for sensing and detection of dopamine as it plays a key role in the neurotransmission and causes several diseases

Modification of glassy carbon electrode with trigona carbon nanopetals/ferrocene/gold nanoparticles nanocomposite for electrochemical detection of dopamine

1285-1291In this study, we have synthesized a composite using carbon material derived from bio-inspired onion peel morphology like 2D trigona carbon nano petals (TCP) incorporated with ferrocene (FC). The FC is added with the purpose of improving the electrochemical behaviour of TCP. Further, to increase the number of electrochemically active sites in the composite, gold nanoparticles (AuNPs) were again decorated on TCP/FC, and thus derived electrochemically active TCP/FC/AuNPs nanocomposite. We have characterized the properties and surface morphology of this nanocomposite through spectroscopic and microscopic techniques. Further, using this nanocomposite for surface modification of glassy carbon electrode, we have developed an efficient GCE-TCP/FC/AuNPs electrode. The electrochemical efficiency of this electrode has been inspected through sensing and quantification of pharmaceutically valuable biomolecule dopamine through CV, DPV and square wave voltammetry techniques. The observed CV results reveals that the newly designed GCE-TCP/FC/AuNPs electrode has an ability to detect the dopamine with wide linear range of concentration from 5.96 × 10-6 to 0.1 × 10-4 M and its limit of detection was 2.9 × 10-6 M under 0.1 M phosphate buffer medium (pH 7.0). Therefore, it is important to mention here that this newly fabricated electrode can very well be used for real time sample analysis for sensing and detection of dopamine as it plays a key role in the neurotransmission and causes several diseases

PANI blended MoS₂ decorated GO ternary nanocomposite for efficient electrochemical sensing of crucial components in food and beverages.

518-527An electrochemical detection dependent on Polyaniline (PANI) blended MoS2 decorated GO (MoS2/PANI@GO) ternary nanocomposite has been developed and used for selective and concomitant determination of Vanillin (VAN), Theophylline (TP) and Caffeine (CAF). The surface morphology and structural properties of the composite are denoted by various scientific methods. The electrochemical behaviour of MoS2/PANI@GO has been investigated by Cyclic Voltammetry (CV) and Differential Pulse Voltammetry (DPV). The electrochemical oxidation (anodic) peaks have been observed at 0.59, 1.1 and 1.36v in phosphate buffer (pH 7) for Vanillin, Theophylline and Caffeine, respectively. A good linear current response and limit of detection of 0.043, 0.062 and 0.07 of VAN, TP and CAF, are obtained respectively. The concocted electrode reveals low detection limit, wide linear range, excellent reproducibility, high acuteness and stability. The study is also continued to the analysis of the certain components in the commercial foods and beverage samples

Privacy Preserving and Time Series Analysis of Medical Dataset using Deep Feature Selection

A significant category of medical data that includes rich temporal and spatial information is time-series medical imaging. Since then, experts in a variety of domains, including clinical picture analysis, have been actively participating in the rapidly emerging subject of profound learning. This paper discusses profound learning processes and their applicability to clinical picture examination and mainly focused common machine learning techniques in the field of computer vision and how deep learning has transformed ML, ML models for deep learning and applications of deep learning to clinical image analysis. In fact, even before the term "deep learning" was coined, a variety of clinical picture investigation concerns, including harm and non-harm grouping, harm type characterisation, harm or organ division, and injury recognition, were addressed using picture input machine learning (PIML). Deep learning is predicted to be the key innovation for clinical picture examination in the upcoming few years. Picture input ML, including profound learning, is an exceptionally powerful, flexible, higher-throughput innovation that can raise the current level of execution in clinical picture examination. "Profound learning" or picture input ML, in clinical picture examination is a quickly developing, promising field. Picture input ML is supposed to turn into a significant field in clinical picture examination in the following couple of many years

Meteorite impact craters as hotspots for mineral resources and energy fuels: A global review

The ever-increasing recovery rate of natural resources from terrestrial impact craters over the last few decades across the globe offers new avenues for further exploration of mineral and hydrocarbon resources in such settings. As of today, 60 of the 208 terrestrial craters have been identified to host diverse resources such as hydrocarbons, metals and construction materials. The potential of craters as plausible resource contributors to the energy sector is therefore, worthy of consideration, as 42 (70%) of the 60 craters host energy resources such as oil, gas, coal, uranium, mercury, critical and major minerals as well as hydropower resources. Among others, 19 craters are of well-developed hydrocarbon reserves. Mineral deposits associated with craters are also classified similar to other mineral resources such as progenetic, syngenetic and epigenetic sources. Of these, the progenetic and syngenetic mineralization are confined to the early and late excavation stage of impact crater evolution, respectively, whereas epigenetic deposits are formed during and after the modification stage of crater formation. Thus, progenetic and syngenetic mineral deposits (like Fe, Ni, Pb, Zn and Cu) associated with craters are formed as a direct result of the impact event, whereas epigenetic deposits (e.g. hydrocarbon) are hosted by the impact structure and result from post-impact processes. In the progenetic and syngenetic deposits, the shock-wave induced fracturing and melting aid the formation of deposits, whereas in the epigenetic deposits, the highly fractured lithostratigraphic units of higher porosity and permeability, like the central elevated area (CEA) or the rim, act as traps. In this review, we provide a holistic view of the mineral and energy resources associated with impact craters, and use some of the remote sensing techniques to identify the mineral deposits as supplemented by a schematic model of the types of deposits formed during cratering process

Batch kinetic studies of adsorption of Cu(II) ions from aqueous solutions onto alginate nanoparticles/PEG binary blend

Among the most prevalent natural biopolymers is alginate. The current effort focuses on creating the binary blend of Alg-Nps/PEG. PEG is a great option because of its many distinctive qualities. Blends of polymers mix the characteristics of the separate polymers. FTIR results show intermolecular hydrogen bonding between Alg-Nps/PEG binary blend. Morphological and cross-sectional studies were analyzed using SEM. Various parameters impacting the Cu(II) ion adsorption, including pH, contact time, and adsorbent concentrations, have been examined in a batch adsorption method utilizing an Alg-Nps/PEG binary blend. Pseudo-first order, pseudo-second order, and intra particle Weber-Morris diffusion parameters have been determined. The experimental data fit the pseudo-second order kinetics model quite well when compared to the pseudo first order and intra-particular diffusion models

Batch kinetic studies of adsorption of Cu(II) ions from aqueous solutions onto alginate nanoparticles/PEG binary blend

Among the most prevalent natural biopolymers is alginate. The current effort focuses on creating the binary blend of Alg-Nps/PEG. PEG is a great option because of its many distinctive qualities. Blends of polymers mix the characteristics of the separate polymers. FTIR results show intermolecular hydrogen bonding between Alg-Nps/PEG binary blend. Morphological and cross-sectional studies were analyzed using SEM. Various parameters impacting the Cu(II) ion adsorption, including pH, contact time, and adsorbent concentrations, have been examined in a batch adsorption method utilizing an Alg-Nps/PEG binary blend. Pseudo-first order, pseudo-second order, and intra particle Weber-Morris diffusion parameters have been determined. The experimental data fit the pseudo-second order kinetics model quite well when compared to the pseudo first order and intra-particular diffusion models