Effectiveness of video assisted programme on Knowledge and Attitude regarding exclusive Breast feeding among primi mothers in Postnatal ward at institute of Obstetrics and Gynaecology and government hospital for Women and children, Chennai

INTRODUCTION: Breast feeding is the best natural feeding and breast milk is the best milk. The basic food of infant is mothers milk. I t meets the nutritional as well as emotional and psychological needs of the infant. The study was conducted to “assess the Effectiveness of video assisted programme on Knowledge and attitude regarding exclusive Breast feeding among primi mothers at Institute of Obstetrics and Gynaecology and Government Hospital for women and children, Chennai”. OBJECTIVES: 1. To assess the pretest and post test level of knowledge and attitude regarding exclusive breast feeding among primi mothers, 2. To evaluate the effectiveness of pre and post test level of knowledge and attitude regarding exclusive breast feeding among primi mothers. 3. To determine the association and correlation between knowledge and attitude regarding exclusive breast feeding with selected demographic variables. METHODS AND MATERIALS: 60 samples were selected by using purposive sampling technique. Data were collected from the primi mothers using a semi - structured questionnaire before and after the implementation of the video assisted program. The data were tabulated and analyzed by descriptive and inferential statistics research design is Pre Experimental design RESULT: The study result showed, there was a significant difference between the pre-test and post-test level of knowledge and attitude regarding exclusive breast feeding. The obtained t – value (19.67) was greater than the table value at 0.05 level of significance. CONCLUSION: This study concluded that after video teaching programme the primi mothes in postnatal ward gained more knowledge and attitude for the primi mothers with exclusive breast feeding, further study is based on the quality of life after teaching video assisted programme were recommended

Training Programmes and Success of Agri Clinics and Agri Business Centres (Acabcs) In Karnataka – An Evaluation

Agriculture Sector is contributing 16.5%to the GDP of the country and has enclosed more than 50% workforce are still engaged in agriculture and allied activities. (Economic survey 2019-20)Though higher workforce is involved, they are not self-reliable to earn their livelihood and it is indispensable to rethink the shift of agricultural sector. In this scenario Agri entrepreneurship or farm entrepreneurship apparently benefits the small-scale farmers to be self- reliable and independent. The National Institute for Management of Agricultural Extension (MANAGE) has classified 32 activities of agribusiness all over India (as on 5th February 2021) covering horticulture, floriculture, sericulture, dairy farming, poultry, agri clinics and agribusiness centres. Agri Clinics and Agri Business Centres (ACABCS) in the post globalization era have emerged as an important commercial activity in agriculture and Agribusiness undertakings formed by trained agriculturists. Such business may include sale of inputs, maintenance and custom hiring of farm equipment with other facilities in agriculture and allied areas as well as market linkages for revenue generation, post-harvest administration and entrepreneurial progress. Nodal Training institutes are contributing significantly for the development and growth of ACABCs. With this background, the study is undertaken at with an objective of examining the relationship of training programmes and the success of ACABCs in Karnataka. Sixty (29 Trained and 31 untrained) sample Agripreneurs drawn from Bengaluru urban and rural districtswere contacted with a structured questionnaire to understand their business growth and success level with the help of various parameters. Hypothesis testing was done with the help of Chi square test. For analysis simple percentage technique was applied. It has also come out with few findings and suggestions

Large Scale Alignment of Optical Polarizations from Distant QSOs using Coordinate Invariant Statistics

We introduce several coordinate invariant statistical procedures in order to test for local alignment of polarizations. A large scale alignment of optical polarizations from distant QSOs has recently been observed by \huts and collaborators. The new statistical procedures are based on comparing polarizations at different angular coordinates by making a parallel transport. The results of these statistical procedures continue to support the existence of the large scale alignment effect in the QSO optical polarization data. The alignment is found to be much more pronounced in the data sample with low degrees of polarization $p\le 2$%. This suggests that the alignment may be attributed to some propagation effect. The distance scale over which the alignment effect is dominant is found to be of order 1 Gpc. We also find that a very large scale alignment is present in the large redshift, $z\ge 1$, data sample. Infact the data sample with $z\ge 1$ appears to be aligned over the entire celestial sphere. We discuss possible physical effects, such as extinction and pseudoscalar-photon mixing, which may be responsible for the observations.Comment: 23 pages, 8 figure

Assessment of dynamic balance and bone density in premenopausal and postmenopausal middle-age women: a comparative study

Background: Dynamic balance control is required to perform simple and complex mobility task in our day-to-day life. Deficit in balance can results in falls and fractures which can affect health-related quality of life. Menopause is also considered as a risk for fracture due to osteoporosis, which at later life becomes difficult to manage and causes higher morbidity. So, evaluation of balance and bone density is important in middle-age in women, so that we can plan and administer proper treatment strategies at an early stage which can reduce risk of falls and fractures. Therefore, the aim of the study was to assess and compare dynamic balance and bone density in premenopausal and postmenopausal middle-age women.Methods: Female participants in the age-group of 40-60 years were divided into premenopausal and postmenopausal group based on the criteria of cessation of menstrual cycles for minimum one year. Participants were assessed barefooted for dynamic balance by physical performance mobility tests such as narrow walk test (NWT), Figure-of-8 walk test (F8WT), obstacle walk test (OWT) and normal gait speed (NGS). Bone density was evaluated by using ultrasound bone densitometer at calcaneus in community setting. Results: The time taken to complete the NWT, F8WT, OWT was reduced significantly (p<0.05) in post-menopausal group, showing dynamic balance is significantly affected in postmenopausal women when compared with premenopausal women in middle-age group. Gait speed was also reduced in both the groups but it was significantly reduced (p<0.05) in postmenopausal group. Also bone density decreases significantly in post-menopausal group showing osteoporosis, premenopausal group also showed osteopenia when assessed by ultrasound bone densitometer in community setting.Conclusions: Dynamic balance and bone density significantly decreases in post-menopausal middle-age women as compared with pre-menopausal middle-age women

Generic Paddy Plant Disease Detector (GP2D2): An Application of the Deep-CNN Model

Rice is the primary food for almost half of the world’s population, especially for the people of Asian countries. There is a demand to improve the quality and increase the quantity of rice production to meet the food requirements of the increasing population. Bulk cultivation and quality production of crops need appropriate technology assistance over manual traditional methods. In this work, six popular Deep-CNN architectures, namely AlexNet, VGG-19, VGG-16, InceptionV3, MobileNet, and ResNet-50, are exploited to identify the diseases in paddy plants since they outperform most of the image classification applications. These CNN models are trained and tested with Plant Village dataset for classifying the paddy plant images into one of the four classes namely, Healthy, Brown Spot, Hispa, or Leaf Blast, based on the disease condition. The performance of the chosen architectures is compared with different hyper parameter settings. AlexNet outperformed other convolutional neural networks (CNNs) in this multiclass classification task, achieving an accuracy of 89.4% at the expense of a substantial number of network parameters, indicating the large model size of AlexNet. For developing mobile applications, the ResNet-50 architecture was adopted over other CNNs, since it has a comparatively smaller number of network parameters and a comparable accuracy of 86.1%. A fine-tuned ResNet-50 architecture supported mobile app, “Generic Paddy Plant Disease Detector (GP2D2)” has been developed for the identification of most commonly occurring diseases in paddy plants. This tool will be more helpful for the new generation of farmers in bulk cultivation and increasing the productivity of paddy. This work will give insight into the performance of CNN architectures in rice plant disease detection task and can be extended to other plants too

A STUDY ON DEVELOPMENT AND VALIDATION OF RP-HPLC METHOD FOR THE ESTIMATION OF CEFPODOXIME IN BULK AND A PHARMACEUTICAL DOSAGE FORMS

A simple, rapid, precise, sensitive and, reproducible reverse phase high performance liquid chromatography (RP-HPLC) method has been developed for the quantitative analysis of Cefpodoxime in a pharmaceutical dosage form. Chromatographic separation of Cefpodoxime was achieved on Waters Alliance -2695, by using Luna Pheny Hexyl (250mm x 4.6mm, 5µm) column and the mobile phase containing 0.1% TEA adj pH-2.5 with OPA &amp; ACN in the ratio of 75:25% v/v. The flow rate was 1.0 ml/min, detection was carried out by absorption at 222nm using a photodiode array detector at ambient temperature. The number of theoretical plates and tailing factor for Cefpodoxime were NLT 2000 and should not be more than 2 respectively. The linearity of the method was excellent over the concentration range 7-105 µg/ml for Cefpodoxime respectively. The correlation coefficient was 0.999. % Relative standard deviation of peak areas of all measurements always less than 2.0. The proposed method was validated according to ICH guidelines.&nbsp; The method was found to be a simple, economical, suitable, precise, accurate &amp; robust method for quantitative analysis of Cefpodoxime and study of its stability

Novel DNA fluorescence probes based on N-[5-(11-functionalised-undecylamino)-9H-benzo[a]phenoxazin-9-ylidene]propan-1-aminium chlorides: synthesis and photophysical studies

Fluorescent benzo[a]phenoxazinium chlorides possessing undecylamino chains with functionalised ending-groups (hydroxyl, carboxylic acid and the ester group) as substituents at the 5-position of the heterocycles were successfully synthesised and characterised. These compounds were used in photophysical studies with DNA, and compared to the corresponding analogue with a non-functionalised terminal (methyl group). It was found that the functionalised terminal exerts a dramatic influence on the type of interaction with the hydroxyl group promoting intercalation, while the ester group promotes groove binding.Fundação para a Ciência e a Tecnologia (FCT) - REDE/1517/RMN/2005Fundo Europeu de Desenvolvimento Regional (FEDER) - POCI 201

Benthos - Polychaetes

Polychaetes are one of the major benthic group of animals just like molluscs and crustaceans. Globally 12,620 species of Polychaetes are supposed to be occurring and in India around, 1,093 species representing 8.66% of the total number of polychaete species are known. Polychaetes are very important in the marine and brackish water ecosystems extending from the abyssal depths to the inter-tidal regions. Its major role is through the biomass formation in the benthic as well as in the pelagic aquatic systems as sedentary and pelagic polychaetes and through the different larval forms released by them. It also forms the major food for crustaceans, molluscs as well as for fishes. Because of the special adaptive nature of this group, Polychaetes are distributed in almost all ecological conditions, both in the macro and micro environments having different ranges of salinities and dissolved oxygen. Certain species survive in the anaerobic conditions also

A Review on the Magnetorheological Fluid, Damper and Its Applications for Seismic Mitigation

Magnetorheological (MR) fluids and dampers have wide advances as smart materials because of its unique properties, notably, viscosity increases in the presence when magnetic field applied MR Fluids composed of three key components, including carrier fluid, surfactants and metal particles. The major applications of MR Fluids are in brakes, dampers, journal bearings, fluid clutches, pneumatic artificial muscles, aerospace etc. where electrical energy is converted to mechanical energy (Damping Force) in a controlled manner. Within a few milliseconds the fluid converts from liquid to semi solid state. Over the years, researchers were concerned on the ways to enhance the modelling precision. Though the proposed Dynamic models of MR Dampers represent displacement and force behaviour. In this review paper, the advances of MR Fluids, MR Damper, Damper Models, Energy harvesting and their applications for seismic resistance of structures are briefly discussed in the present study