Synthesis, Physical Characterization and Biological Activity of Some Schiff Base Complexes

Structural modification of organic molecule has considerable biological relevance. Further, coordination of a biomolecules to the metal ions significantly alters the effectiveness of the biomolecules. In view of the antimicrobial activity ligand [bis-(2-aminobenzaldehyde)] malonoyl dihydrazone], metal complexes with Cu(II), Ni(II), Zn(II) and oxovanadium(IV) have been synthesized and found to be potential antimicrobial agents. An attempt is also made to correlate the biological activities with geometry of the complexes. The complexes have been characterized by elemental analysis, molar conductance, spectra and cyclicvoltammetric measurements. The structural assessment of the complexes has been carried out based on electronic, infrared and molar conductivity values

Train, run, win and lead: Analysing the determinants of women empowerment

Scope: Women's empowerment is India's most effective growth weapon, as women all over the world are dynamically working as leaders and outclassing others in plentiful fields these days. While the entire world holds its breath and prays every day for an incredible COVID-19 Pandemic escape, it is the woman governors and countries regulated by these extraordinary women who are shouldering the responsibility and leading the charge wherever it is necessary. Purpose: The determination of this study is to look into the elements that determine women's empowerment and analyse their effects. Design/methodology/approach: Descriptive research technique was used for the study. A convenient sample of 200 respondents was targeted out of which 119 have provided valid answers with the response rate of 75%. The study referred to the employed questionnaire to collect primary data. The questionnaire comprised of nine demographic variables and ten factors of women empowerment. The study generates quantitative data which was implied and analysed using descriptive and inferential statistics including correlation and Chi-square test. Practical Implications: This study will help the policy makers to be proactive in designing the policies and strategies by analysing the factors which affect women empowerment.&nbsp

Bio-inspired ensemble feature selection (biefs) and kernel extreme learning machine classifier for breast cancer diagnosis

Breast cancer is a major disease identified in women, affecting 2.1 million women every year, and is the reason for most cancer-related mortality in women, as per the World Health Organization (WHO). For cancer researchers, accurately forecasting the life expectancy of breast cancer patients is a serious challenge. Machine Learning (ML) has acknowledged much interest in the hope of providing correct results, but due to irrelevant features, its modelling methodologies and prediction performance are still a difficulty. To solve this issue, Feature Selection (FS) was also done to verify whether comparable accuracy can be achieved even with lesser number of features or not. Bio-Inspired Ensemble Feature Selection (BIEFS) algorithm is introduced aimed at selecting a subset of features that increase the prediction performance of subsequent classification models while also simplifying their interpretability. BIEFS algorithm uses three feature selection methods such as Adaptive Mutation Enhanced Elephant Herding Optimization (AMEHO), Adaptive Mutation Butterfly Optimization Algorithm (AMBOA), and Adaptive Salp Swarm Algorithm (ASSA) and integrates their normalized outputs for getting quantitative ensemble importance. BIEFS algorithm depends upon the aggregation of multiple FS techniques by Pearson Correlation Coefficient (PCC).This BIEFS algorithm can improve the accuracy of analysis (benign and malignant)

Analysis of Discrete-time queues with correlated arrivals, negative customers and server interruption

This paper analysis a discrete time infinite capacity queueing system with correlated arrival and negative customers served by two state Markovian server. Positive customers are generated according to the first order Markovian arrival process with geometrically distributed lengths of On periods and Off periods. Further, the geometrically distributed arrival of negative customer removes the positive customers is any, and has no effect when the system is empty. The server state is a two state Markov chain which alternate between Good and Bad states with geometrically distributed service times. Closed-form expressions for mean queue length, unfinished work and sojourn time distributions are obtained. Numerical illustrations are also presented

Evaluation of hepatoprotective activity of the fruits of coccinia grandis linn

Purpose: To evaluate the hepatoprotective activity of alcoholic extract of the fruits of Coccinia grandis Linn (Curcubitaceae) using carbon tetra chloride (CCl4)- induced hepatotoxicity in rats. Methods: The levels of serum glutamate oxaloacetate transminase (SGOT), serum glutamate pyruate transminase (SGPT), alkaline phosphatase (ALP), total protein, total and direct bilirubin were evaluated in experimental rats (with or without CCl4-induced hepatotoxicity) following administration of alcoholic extract of the fruits of C. grandis using standard procedures. The potency of the extract was compared with standard silymarin at a dose of 100 mg/kg p.o. Histopathology of the liver tissues of the animals treated with the extract was also studied. Results: At a dose level of 250 mg/kg, the alcoholic extract significantly (

Graphene oxide coated side polished surface plasmon resonance optical fibre sensor with varying polishing losses

Four batches of side-polished SMF optical fibres with different polishing losses, − 0.5 dBm, − 5 dBm, − 10 dBm and − 15 dBm were coated with a graphene oxide layer of ~ 0.5 μm via drop casting. TE polarized light was propagated through the light during experiments and four different transformer oils with different water contents were dropped onto the sensor. The drop in the power of transmitted light was recorded. The responses of the sensors showed good linearity for all, but the least polished fibre showed the weakest response in terms of power drop towards change in concentration. The − 5 dBm fibre showed the best response per unit concentration change. Additional tests showed the increased response for a GO coated side polished sensor compared to an uncoated side polished sensor. Simulation using COMSOL was performed to show the effects on the electric field of a sensor with and without GO coating. Another set of simulations were performed to show the effects of reducing cladding thickness on the coupling of the electric field. Simulations show that the optimal cladding thickness is not the most polished fibre, coinciding with our results that − 15 dBm loss fibre did not show the most response per unit change in the analyte. © 2019, Springer Science+Business Media, LLC, part of Springer Nature