-Amylase production by Penicillium fellutanum isolated from mangrove rhizosphere soil

The effects of pH, temperature, incubation time, salinity, sources of carbon and nitrogen were tested in submerged fermentation process in production of -amylase by Penicillium fellutanum isolated from coastal mangrove soil. The production medium without addition of seawater and with provision ofmaltose as carbon source, peptone as nitrogen source, incubated for 96 h, maintained with pH of 6.5 at 30oC, was found optimal for production of -amylase by P. fellutanu

Morphological characterization and secondary metabolites profile of black pepper (Piper nigrum L.) genotypes from Sikkim

Quantification of volatile oil and analysis of four major metabolites using HPLC was done in 24 black pepper genotypes collected from south Sikkim. The amount of volatile oil ranged from 2.01% to 0.022%. Secondary metabolites like piperine ranged from 2.75-0.022%, myrcene from 2.094-0.022%, alpha- phellandrene from 1.373-0.008% and linalool from 0.834-0.012%. Genotype 23 had the highest amount of myrcene and linalool, genotype 13 had the highest quantity of piperine and genotype 8 had high amount of alpha-phellandrene. The principal component analysis (PCA) of analyzed metabolites grouped the genotypes into four categories. The study revealed that some of the genotypes were as good as pepper varieties grown in traditional areas. These genotypes will be useful in crop improvement strategies and suitable for Sikkim Himalaya

Application Of Principles Of Total Quality Management (TQM) In Teacher Education Institutions

The indomitable spirit of higher education paves the way for the growth of a nation in the political, economic, social, intellectual and spiritual dimensions. Teacher education is one of the areas in higher education which trains student-teachers in pedagogy, which in turn helps them to train the young minds of educational institutions. The “Fate of the nation is decided in the classroom,” is a remark made by the Education Commission of India. Such classrooms are created by committed and dedicated teachers. These teachers are trained in teacher education institutions. Teacher education institutions should maintain quality to ensure the academic excellence of trainees who come into the teaching profession. Quality is a comparative standard prescribed for those institutions that are on the quest for output brilliance. Quality assurance in teacher education reflects on the high profile of the institution and the competency of student-teachers. The present study on the application of principals of TQM in teacher education institutions in India has exposed the tangibility of institutions in the perception of teachers based on eleven quality indicators, such as principal as leader, teacher quality, linkage and interface, students, co-curricular activities, teaching, office management, relationships, material resources, examinations and job satisfaction. A total of nine colleges of education was selected to collect data. The exploratory technique under the survey method of research design was used for the study. A tool - ‘Teacher Institutional Profile’ (TIP) - was constructed, standardized and used for data collection. Quantitative and qualitative analyses were made for finding and interpreting results. The findings focus on the strong and weak areas of various teacher education institutions according to the quality indicators. The study recommends further strengthening of quality indicators, which are already strong, and the revamping of weaker quality indicators. It is also recommended that institutions should adhere to the quality standards set by national and international assessment and accreditation bodies. In conclusion, the global scenario expects skilled teachers to produce students with a versatile personality for which teacher education should be strengthened

Magnetic properties of Hydrogenated Li and Co doped ZnO nanoparticles

The effect of hydrogenation on magnetic properties of Zn0.85Co0.05Li0.10O nanoparticles is presented. It was found that the sample hydrided at room temperature (RT) showed weak ferromagnetism (FM) while that hydrided at 400oC showed robust ferromagnetism at room temperature. In both cases reheating the sample at 400oC in air converts it back into paramagnetic state (P) completely. The characterization of samples by X-ray and electron diffraction (ED) showed that room temperature ferromagnetism observed in the samples hydrogenated at RT is intrinsic in nature whereas that observed in the samples hydrogenated at 400oC is partly due to the cobalt metal clusters.Comment: 10 pages, 3 figure

Machine Learning Models to Predict Covid-19 Vaccination Intention: An Indian Study

Purpose: Covid 19 pandemic has taken the world by shock for last few years, and it has greatly impacted the livelihood of people across all walks of life and even the economies of many nations got greatly affected. Governments across the globe revived from the impact of covid-19 pandemic using many strategies and policies which were formulated under the guidance of the world health organization. One of the Prime weapons which helped the governments and public against covid -19 is vaccination. This research which was conducted August 2021 was done to understand the perception of the public towards the covid 19 vaccination and to predict the public intention to take up covid -19 vaccination using the health belief model constructs.   Theoretical framework:The Study has used the variables of the health belief model namely the perceived severity, perceived susceptibility, Perceived Benefits, Cues to action and other socio-demographic variables to predict the intent of the respondents towards taking Covid-19 vaccination.    Design/methodology/approach:   Data was collected using a self-administered online questionnaire distributed to the respondents from Tamil Nadu, India who are above 18 years of age. Machine Learning Algorithms like Logistic Regression, Artificial Neural Networks were used to predict the public intent to take up covid 19 vaccination.   Findings: From the Analysis of Logistic Regression and Artificial Neural Network, it was found that Health Belief Model Constructs Perceived Barriers, Perceived Benefits and Cues to action, were significant factors that affect the public intention to vaccinate.   Research, Practical & Social implications:Findings of the research will help the government, stake holders to understand the factors impacting the respondent’s intent to covid-19 vaccination which will guide them to plan better strategies for future vaccination drives   Originality/value:The Study has used to two different machine learning algorithms to compare and corroborate the research findings and in turn identifying the significant predictors of covid-19 vaccination inten

PHYTOCHEMICAL ANALYSIS AND EVALUATION OF ANTIMICROBIAL POTENTIAL OF Senna alata LINN LEAVES EXTRACT

Objective:The objective of the present work is to evaluate the presence of phytochemical constituents and antimicrobial activity of different extracts from the leaves of Senna alata Linn.Methods: The serial exhaustive extraction was done with variousof solvents: Aqueous, Chloroforms, Ethanol, Methanol, Acetone, Benzene, Petroleum ether with increasing polarity using soxhlet apparatus. The phytochemical analysis was done by using the standard procedure. Antimicrobial activity was evaluated by disc diffusion method by using leaves extract against various human pathogens.Results: The results revealed that the leaves extracts contain Flavonoids, Terpenoids, Tannins, Phlobatannins, Saponins, Cardiac glycosides, Carbohydrate, Protein and Anthraquinones in major proportion. Aqueous extract was shown to be more effective against all the organisms followed by ethanol, chloroform, methanol, acetone, benzene, petroleum ether extracts. Salmonella typhi (28mm), Bacillus subtilis (28mm) was found to be most sensitive organism followed by Pseudomonas fluorescence (27mm), Escherichia coli (27mm). Conclusions: It can be concluded that the different extracts of Senna alata leaves extract contain a broad spectrum of secondary metabolites and also exhibit antimicrobial activity against all the tested microorganisms. Further phytochemical research is needed to identity the active product of S. alata may serve as leads in the development of new pharmaceuticals

Diagnostics of gear faults using ensemble empirical mode decomposition, hybrid binary bat algorithm and machine learning algorithms

Early fault detection is a challenge in gear fault diagnosis. In particular, efficient feature extraction and feature selection is a key issue to automatic condition monitoring and fault diagnosis processes. In order to focus on those issues, this paper presents a study that uses ensemble empirical mode decomposition (EEMD) to extract features and hybrid binary bat algorithm (HBBA) hybridized with machine learning algorithm to reduce the dimensionality as well to select the predominant features which contains the necessary discriminative information. Efficiency of the approaches are evaluated using standard classification metrics such as Nearest neighbours, C4.5, DTNB, K star and JRip. The gear fault experiments were conducted, acquired the vibration signals for different gear states such as normal, frosting, pitting and crack, under constant motor speed and constant load. The proposed method is applied to identify the different gear faults at early stage and the results demonstrate its effectiveness

Kinetics and mechanism of the oxidation of some cis-Alpha- Phenylcinnamic acids by Pyridinium Chlorochromate

Oxidation of cis α-phenyl cinnamic acids by pyridinium chlorochromate (PCC) was studied in acetic acid–water mixturecontaining perchloric acid. The reaction rate is first order in [PCC] and fractional order in [H+] and has aldehyde as aproduct. The rate of reaction increases with increase in the percentage of acetic acid medium. The reactions exhibit kineticisotope effect. The activation parameters have been evaluated. The added Mn (II) decreases the rate of reaction. Theadded sodium chlorate has no effect on the reaction rate and indicates the absence of ion-ion (or) ion- dipole interaction inthe slow step. The deviation of Hammett plot is noted and a “V†shaped curve is obtained

PHYTOCHEMICAL ANALYSIS OF RUELLIA PATULA USING GAS CHROMATOGRAPHY‑MASS SPECTROMETRY

ABSTRACTObjective: Ruellia patula (Jacq.) a medicinally important plant belongs to the family Acanthaceae. Traditionally, the leaves are used in the treatment ofmany diseases such as insect bites, itches, eye diseases, and skin problems. In the present study, the qualitative and quantitative analysis of bioactivecompounds by gas chromatography (GC) and mass spectroscopy (MS) techniques.Methods: The chemical compositions of the ethanol extract of R. patula leaves were investigated using Perkin–Elmer GC‑MS.Result: In the GC‑MS analysis of ethanol extract of R. patula L. reported the presence of 15 compounds. The major compound constituents are 3, 7, 11,15‑tetramethyl‑2‑hexadecen‑1‑ol (28.75%), and α‑sitosterol (14.35%).Conclusion: Identification of these compounds can help in the development of new drugs.Keywords: Ruellia patula, Ethanol extract, Phytochemical compounds, gas chromatography‑mass spectroscopy analysis, Biological activity ofphyto‑components

Reaction of Hydrazine Hydrate with Oxalic Acid: Synthesis and Crystal Structure of Dihydrazinium Oxalate

The reaction of oxalic acid with hydrazine hydrate (in appropriate mole ratio) forms the dihydrazinium oxalate under specific experimental condition. The title compound is a molecular salt containing two discrete hydrazinium cations and an oxalate anion. The oxalate anion is perfectly planar and there is a crystallographic centre of symmetry in the middle of the C-C bond. The C-O bond distances are almost equal indicating the presence of resonance in the oxalate ion. The crystal packing is stabilized by intermolecular N-H…Oand  N-H…Nhydrogen bonds. The oxalate ions are linked together end to end through hydrogen bonds (via N2H5+ ions) and run parallel to the [101] direction. It is interesting to note that each oxalate group in the structure is surrounded by six hydrazinium ions through hydrogen bonding. Similarly, each hydrazinium ion is surrounded by three oxalate and one hydrazinium ion.KEY WORDS: Hydrazine, oxalic acid, dihydrazinium oxalate, crystal structure