Oxygen deficient MoO nanoparticles as peroxidase substitutes, their substrate-nanozyme interactions and real time validation in human serum sample.

Oxygen deficient molybdenum oxide nanosheet (Od-MO Nshs) was synthesised by hydrothermal method and its peroxidase-like activity was established with 3,3',5,5'-Tetramethylbenzidine-(TMB) and o-phenylenediamine dihydrochloride-(OPD) as a co-substrate in presence of Hydrogen peroxide (HO) and catalytic parameters were compared with horseradish peroxidase-(HRP) enzyme. Optimization was carried out for physical and chemical parameters. Synthesised nanoparticles-(NPs) were characterized for size, shape, composition oxidation state etc.

WELPSA: A Green Catalyst Mediated Microwave Assisted Efficient Synthesis of Novel 5-Aminopyrazole-4-Carbonitrile Derivatives as Anticancer Agents (MCF-7, A-549) and In Silico Studies.

Malononitrile, modified hydrazine, and quinoline aldehyde were combined in a one-pot reaction under microwave irradiation to create the medicinally significant family of heterocyclic scaffolds, quinoline, coumarin, thiazole, and pyrazole 4-carbonitrile derivatives with the help of green solvent as water. WELPSA (water extract of lemon peel-soaked ash) is used to speed up the reaction in a solvent-free environment, according to more environmentally friendly reaction protocols. This methodology offers several advantages like short reaction duration, green solvent synthesis, high yield, no need for chromatographic techniques, catalyst recyclability of up to five cycles, and so on.

Evaluation of peroxidase mimicking behaviour of VO nanozymes with various morphologies and its application as glucose sensor via cascade mechanism in human serum samples.

A simple spectrophotometric method is presented for quantifying glucose and HO using p-aminophenol sulfate-(PAP) & N-(1-Naphthyl) ethylenediamine dihydrochloride-(NEDA) as novel chromogenic reagents with different morphological VO nanoparticles (NPs) as peroxidase mimicking nanozyme. For glucose, the method was linear in the range of 0.0289 and 0.

Design of Interoperable Electronic Health Record (EHR) Application for Early Detection of Lung Diseases Using a Decision Support System by Expanding Deep Learning Techniques.

Background: Electronic health records (EHRs) are live, digital patient records that provide a thorough overview of a person's complete health data. Electronic health records (EHRs) provide better healthcare decisions and evidence-based patient treatment and track patients' clinical development. The EHR offers a new range of opportunities for analyzing and contrasting exam findings and other data, creating a proper information management mechanism to boost effectiveness, quick resolutions, and identifications.

Comparison of machine learning algorithms for the classification of spinal cord tumor.

Spinal cord Tumor has been characterized as a heterogeneous disease consisting of many different subtypes. The early diagnosis and prognosis of a cancer type have become a necessity in cancer research, as it can facilitate the subsequent clinical management of patients. The importance of classifying cancer patients into Bening or malignant has led many re- search teams, from the biomedical and the bioinformatics field, to study the application of machine learning (ML) methods.

ESTIMATION OF INDOOR AND OUTDOOR EFFECTIVE DOSES AND LIFETIME CANCER RISK FROM GAMMA DOSE RATES IN AND AROUND MANDYA DISTRICT, KARNATAKA.

Indoor and outdoor gamma-ray dose rates have been measured in and around Mandya district (12° 20″ N and 77° 20″ E). The measurements were carried out from 45 locations of Mandya district at 1 m above the ground surface for radiometric, geophysical and environmental surveys using a lightweight portable radiation dosemeter ER‑709. The indoor and outdoor absorbed gamma dose rate in air varied from 66.

A quantitative method for the detection and validation of catalase activity at physiological concentration in human serum, plasma and erythrocytes.

A novel method has been proposed to develop a simple, rapid, sensitive and affordable chromogenic attempt for the quantification of catalase (CAT) activity in blood samples. The method is based on the oxidation of pyrocatechol (PC) to give quinone form which by oxidative coupling with aminyl radical of 4-aminoantipyrine (4-AAP) resulting from HO/CAT to produce a pink colored quinone-imine product with λ = 530 nm in a 100 mmol/L of tris buffer of pH 9.8 at room temperature (30 °C).

MEASUREMENT OF RADON SOIL GAS IN AND AROUND BHARATHINAGARA, MANDYA DISTRICT.

Radon activity concentration in soil gas has been studied in and around Bharathinagara, Mandya district (12° 13|| N and 77° 20|| E) using Solid State Nuclear Track Detectors with Twin cup dosimeter. The activity concentration of 222Rn in soil gas was studied at two depths. Radon in soil gas was found to increase with depth and decrease with increase in moisture content of the soil.

Diagnosis of Dementia by Machine learning methods in Epidemiological studies: a pilot exploratory study from south India.

Background: There are limited data on the use of artificial intelligence methods for the diagnosis of dementia in epidemiological studies in low- and middle-income country (LMIC) settings. A culture and education fair battery of cognitive tests was developed and validated for population based studies in low- and middle-income countries including India by the 10/66 Dementia Research Group.

Aims: We explored the machine learning methods based on the 10/66 battery of cognitive tests for the diagnosis of dementia based in a birth cohort study in South India.