Birth weight and term of the gestation in pregnancies complicated by isolated oligo and isolated polyhydramnios

Background: To access the birth weight of the newborn and term of the gestation in pregnancies complicated by isolated oligo and polyhydramnios.Methods: A Hospital based study has been conducted in the Department of Obstetrics and Gynaecology, Sri Ramachandra Medical College and Research Institute, Chennai.  All the singleton pregnancies diagnosed with Isolated Oligo and Polyhydramnios were enrolled in the study. All the subjects were followed up to their delivery. Birth weight and Term of the Gestation were recorded immediately after delivery.Results: Out of 3,567 patients 32 (0.9%) and 5 (0.15%) were diagnosed as Isolated Oligo and Polyhydramnios respectively.Among 32 (0.9%) newborns of Isolated Oligohydramnios, 5 (15.62%) were Very Low Birth Weight ( 3800gms). On the other hand Preterm and Term gestations were 17 (53.12%) and 15(46.8%) respectively in this group.Among the 5 (0.15%) cases of Isolated Polyhydramnios group, Very Low Birth Weight and Low Birth Weight newborns were 1(20%) each and newborns with normal Birth weight were 3 (60%). Similarly, Preterm and Term gestations were 2(40%) and 3(60%) respectively.Conclusion:  Isolated Oligo and Polyhydramnios are associated with increased rate of Low Birth Weight (Very Low Birth Weight and Low Birth Weight) neonates and Preterm deliveries.

Artificial neural network based delamination prediction in composite plates using vibration signals

Dynamic loading on composite components may induce damages such as cracks, delaminations, etc. and development of an early damage detection technique for delaminations is one of the most important aspects in ensuring the integrity and safety of composite components. The presence of damages such as delaminations on the composites reduces its stiffness and further changes the dynamic behaviour of the structures. As the loss in stiffness leads to changes in the natural frequencies, mode shapes, and other aspects of the structure, vibration analysis may be the ideal technique to employ in this case. In this research work, the supervised feed-forward multilayer back-propagation Artificial Neural Network (ANN) is used to determine the position and area of delaminations in GFRP plates using changes in natural frequencies as inputs. The natural frequencies were obtained by finite element analysis and results are validated by experimentation. The findings show that the suggested technique can satisfactorily estimate the location and extent of delaminations in composite plates

Natural Frequency based delamination estimation in GFRP beams using RSM and ANN

The importance of delamination detection can be understood from aircraft components like Vertical Stabilizer, which is subjected to heavy vibration during the flight movement and it may lead to delamination and finally even flight crash can happen because of that. Any solid structure's vibration behaviour discloses specific dynamic characteristics and property parameters of that structure. This research investigates the detection of delamination in composites using a method based on vibration signals.  The composite material's flexural stiffness and strength are reduced as a result of delaminations, and vibration properties such as natural frequency responses are altered. In inverse problems involving vibration response, the response signals such as natural frequencies are utilized to find the location and magnitude of delaminations. For different delaminated beams with varying position and size, inverse approaches such as Response Surface Methodology (RSM) and Artificial Neural Network (ANN) are utilized to address the inverse problem, which aids in the prediction of delamination size and location

Artificial neural network based delamination prediction in composite plates using vibration signals

Dynamic loading on composite components may induce damages such as cracks, delaminations, etc. and development of an early damage detection technique for delamination prediction is one of the most important aspects in ensuring the integrity and safety of such components. The presence of damages such as delaminations on the composites reduces its stiffness and changes the dynamic behaviour of the structures. As the loss in stiffness leads to changes in the natural frequencies, mode shapes, and other aspects of the structure, vibration analysis may be the ideal technique for delamination prediction. In this research work, the supervised feed-forward multilayer back-propagation Artificial Neural Network is used to determine the position and area of delaminations in glass fiber-reinforced polymer (GFRP) plates using changes in natural frequencies as inputs. The natural frequencies were obtained by finite element analysis and results are validated experimentally. The findings show that the suggested technique can satisfactorily estimate the location and extent of delaminations in composite plates

SHARE AND USE

Android is one of the most user friendly mobile platforms that have grasped the attention of smart phone users around the globe. According to stats available there are 1.4 billion people who have used Android mobile platform. And this has led to the development of android application exponentially; there are around 2.8 million android applications available in play store. Many of the available application do not fit into low specification smart phones due to some reasons. Share and Use is an android application that lets you use another smart phones application by your phone without actually installing it on your phone. Share and Use lets user to use application installed on other phones and access applications on their smart phones. Share and Use helps phones with lower specification android phones to use applications that are not be able to install in them

AN EFFECTIVE STUDY ON UTILIZING BONE POWDER ASH AS PARTIAL REPLACEMENT OF CONSTRUCTION MATERIAL

With progression of technology and improved field of applications of concrete as well as mortars, the strength workability, flexibility as well as other features of ordinary concrete requires modifications to make it more appropriate. Our work studies the possibility of utilizing Cattle Bone Powder Ash as partial replacement of construction material in form of ash to substitute cement, in ground form to substitute sand in concrete and as particle to generate cement-particle. Partial replacement of Cement by Bone Powder Ash provides extra environmental as well as technical benefits. Cost of concrete reduces due to partial substitute of wastes and this knowledge assures high strength as well as high workability. By using bone powder ash in concrete makes it an efficient as well as innovative system of getting free of waste material that is damaging and dangerous to humans as well as environment

The Influence of Plant Growth Modulators on Physiological Yield and Quality Traits of Sesame (Sesamum indicum) Cultivars Under Rainfed Conditions

Sesame is an important oilseed crop, and the crop yields frequently fluctuate as the crop is largely grown in rainfed and low-fertile lands. Limited water availability negatively affects many physiological processes and the final productivity of sesame. Limited work has been carried out in the past to understand the role of plant growth regulators (PGRs) in modulating sesame growth and development for optimum productivity. A field study was conducted under rainfed conditions to evaluate the response of foliar application of different PGRs such as hormonal-based gibberellic acid (20 ppm); chemical-based thiourea (500 ppm); chemical-constituting structural component-based ortho-silicic acid (380 ppm); and control (water-sprayed) on sesame cultivars: Swetha til, GT-10, TKG-22, and JCSDT-26. The PGRs foliar application was done at the vegetative (25–30 days after sowing), 50% flowering (40–45 days after sowing), and seed development (70–75 days after sowing) stages of the crop. The results revealed that application of different PGRs positively influenced the plant’s growth, physiological, yield and quality traits; however, most effective results were obtained with gibberellic acid (20 ppm), followed by ortho-silicic acid (380 ppm), and thiourea (500 ppm) improved the morphological, yield, and yield-attributing traits. The interaction between PGRs and varieties was found significant and among the sesame cultivars, swetha til followed by JCSDT-29 was found most promising. The application of PGRs has significantly improved the plant height, leaf area, number of branches, capsules, seeds/capsules, seed yield oil content, and fatty acid content compared to the control by gibberellic acid, followed by ortho-silicic acid and thiourea. The interaction between PGRs and varieties was found to be significant, and cultivar Swetha til, a white-colored cultivar performed most superiorly among the different tested cultivars in terms of growth, physiology, yield as well and quality traits when treated with GA3 at 20 ppm. The seed yield was enhanced by 25–26%, 11–12%, and 6–7% with the application of gibberellic acid, ortho-silicic acid, and thiourea, respectively, over control. Considering the findings, it can be concluded that the application of PGRs (thiourea, ortho-silicic acid, and gibberellic acid) significantly enhanced the growth, physiology, yield, and quality of sesame under rainfed conditions; however, GA3 at 20 ppm was found most effective and may not only enhance the optimum productivity but also effective in improving the quality traits of sesame

Abstracts of National Conference on Biological, Biochemical, Biomedical, Bioenergy, and Environmental Biotechnology

This book contains the abstracts of the papers presented at the National Conference on Biological, Biochemical, Biomedical, Bioenergy, and Environmental Biotechnology (NCB4EBT-2021) Organized by the Department of Biotechnology, National Institute of Technology Warangal, India held on 29–30 January 2021. This conference is the first of its kind organized by NIT-W which covered an array of interesting topics in biotechnology. This makes it a bit special as it brings together researchers from different disciplines of biotechnology, which in turn will also open new research and cooperation fields for them. Conference Title: National Conference on Biological, Biochemical, Biomedical, Bioenergy, and Environmental BiotechnologyConference Acronym: NCB4EBT-2021Conference Date: 29–30 January 2021Conference Location: Online (Virtual Mode)Conference Organizer: Department of Biotechnology, National Institute of Technology Warangal, Indi