A STUDY ON ANTIMICROBIAL SENSITIVITY AND COST ANALYSIS OF ANTIBIOTICS IN PEDIATRIC UNIT AT A TERTIARY CARE HOSPITAL.

 Objectives: (1) To determine the antimicrobial susceptibility pattern in pediatrics, (2) to identify the pattern of empirical antibiotic usage, (3) to determine the cost analysis of generic antibiotic usage pattern, (4) to assess the different dosage forms of antibiotics.Methods: A retrospective observational study was carried out. The study population included the medical records of children aged day 1–15 years with bacterial infection who got admitted in the pediatric department of the hospital. The average cost for each generic dosage form of antibiotic was calculated.Result: Among the 176 cases taken for the study, sepsis (35.8%) was found to be the most common disease. Bacterial infection showed gender predominance in males (62.5%) and occurrence of sepsis was highly found in age groups of 0–1 years (55.68%). Among the 14 causative organisms, methicillin-resistant coagulase negative staphylococci (61.93%) was predominant in Gram-positive and Escherichia coli (38.06%) for Gram-negative. Highly prescribed drug for empirical therapy was considered to be amikacin (39.20%). Widely prescribed antibiotics were amikacin (21%), ceftriaxone (15.1%), ampicillin (12.34%) and meropenem (9.57%), among which meropenem was found to be of high cost.Conclusion: It should be taken care that the drug should be given not only based on the sensitivity pattern but can also consider the economic affordability of the patient, with reference to existing brands from the formulary. This would help in reducing the burden of health-care cost for the patients

Effect of CuO nano additive with novel punnai methyl ester in a TBC CI engine

765-779The requirement for petroleum fuel has amplified due to the growth of automobile industries and population growth. To meet fossil fuel demand in the future, alternative fuel for diesel fuel is necessary. The technique for engine modification is also considered as the latest advance in engine research aimed to complete combustion. The engine has been coated with a mixture of a ceramic thermal barrier material of 88% Yttria Stabilized Zirconia (YSZ), 4% Magnesium oxide (MgO), and 8% Titanium oxide (TiO2) of 150 μm thickness by the plasma spray process. After engine modification, the coated engine has been analyzed with the mixing of Copper oxide (CuO) nanoadditive to the B20 Punnai Methyl Ester. The structural and chemical constituents of the biofuel are determined using Fourier transform infrared spectroscopy and gas chromatography. The test result noted that brake thermal efficiency is increased by 17.14% for the coated engine as compared to the uncoated engine. The brake specific fuel consumption for the tested fuel used in the coated engine is decreased by 11.16%. Engine emission parameters are reduced especially oxides of nitrogen (NOx) emission of 10.84% for the tested fuel in the coated engine

An Extended Dissipative Analysis of Fractional-Order Fuzzy Networked Control Systems

This study presents an extended dissipative analysis of fractional order fuzzy networked control system with uncertain parameters. First, we designed the network-based fuzzy controller for the considered model. Second, a novel Lyapunov-Krasovskii functional (LKF) approach, inequality techniques, and some sufficient conditions are established, which make the proposed system quadratically stable under the extended dissipative criteria. Subsequently, the resultant conditions are expressed with respect to linear matrix inequalities (LMIs). Meanwhile, the corresponding controller gains are designed under the larger sampling interval. Finally, two numerical examples are presented to illustrate the viability of the obtained criteria

An Extended Dissipative Analysis of Fractional-Order Fuzzy Networked Control Systems

This study presents an extended dissipative analysis of fractional order fuzzy networked control system with uncertain parameters. First, we designed the network-based fuzzy controller for the considered model. Second, a novel Lyapunov-Krasovskii functional (LKF) approach, inequality techniques, and some sufficient conditions are established, which make the proposed system quadratically stable under the extended dissipative criteria. Subsequently, the resultant conditions are expressed with respect to linear matrix inequalities (LMIs). Meanwhile, the corresponding controller gains are designed under the larger sampling interval. Finally, two numerical examples are presented to illustrate the viability of the obtained criteria

Sense and Shoot: Unveiling the Electro-/Photocatalytic Potential of 2D White Graphene-Supported Perovskite Strontium Cobaltite from Detection to Remediation of Oxidative Stress Herbicide (Mesotrione)

In this research, we employed a strategy akin to “Feeding Two Birds with One Stone” aiming for the dual objectives of highly selective electrochemical detection and photocatalytic degradation of the environmentally hazardous herbicide mesotrione (MTN). We achieved this by utilizing hexagonal boron nitride (BN)-supported strontium cobaltite perovskite nanocomposites (SrCoO3/BN). The fabrication of the innovative bifunctional SrCoO3/BN nanocomposites involved a straightforward process of precipitation, followed by an annealing treatment and ultrasonication. The successful formation of these nanocomposites was corroborated through the application of diverse spectroscopic tools. Notably, as-prepared SrCoO3/BN nanocomposites exhibited a remarkable sensing platform for MTN, characterized by a notably low detection limit (11 nm), considerable sensitivity (3.782 μA μM–1 cm–2), and outstanding selectivity, alongside remarkable stability. Concurrently, these SrCoO3/BN nanocomposites demonstrated exceptional visible-light-driven photocatalytic efficacy for MTN degradation (99%) and complete mineralization. Our investigation systematically delved into the influence of operational parameters, including catalyst loading and the involvement of reactive oxidative species, in both the electrocatalytic and photocatalytic reactions. Drawing from these comprehensive studies, we have proposed plausible mechanisms for detecting and degrading MTN. Our findings pave the way for catalyst development, offering a unified solution for detecting and eliminating toxic organic compounds from the environment

Synthesis, spectral characterization, theoretical, antimicrobial, DNA interaction and in vitro anticancer studies of Cu(II) and Zn(II) complexes with pyrimidine-morpholine based Schiff base ligand

Novel Cu(II) (1) and Zn(II) (2) complexes with 4-(1-(4-morpholinophenyl)ethylideneamino)pyrimidine-5-carbonitrile) (L) have been synthesized and characterized by various spectroscopic and analytical techniques. DFT (density functional theory) studies result confirms that, LMCT mechanism have been done between L and M(II) ions. The antimicrobial studies indicate that the ligand L and complexes 1 & 2 exhibit higher activity against the E. coli bacteria and C. albicans fungi. The groove binding mode of ligand L and complexes 1 & 2 with CT-DNA have been confirmed by electronic absorption, competitive binding, viscometric and cyclic voltammetric studies. The electronic absorption titration of ligand L and complexes 1 & 2 with DNA have been carried out in different buffer solutions (pH 4.0, 7.0 & 10.0). The Kb values of ligand L and complexes 1 & 2 are higher in acidic buffer at pH 4.0 (Kb = 2.42 × 105, L; 2.8 × 105, 1; 2.65 × 105, 2) and the results revealed that, the interaction of synthesized compounds with DNA were higher in the acidic medium than basic and neutral medium. Furthermore, CT-DNA cleavage studies of ligand L and complexes 1 & 2 have been studied. The in vitro anticancer activities results show that complexes 1 & 2 have moderate cytotoxicity against cancer cell lines and low toxicity on normal cell line than ligand L. Keywords: Pyrimidine, Morpholine, DFT, Antimicrobial, DNA binding, Anticancer studie