1,721,893 research outputs found

    Structural health monitoring in a composite beam using magnetostrictive material through a new FE formulation

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    A new finite element formulation was derived for structural health monitoring of laminated composite beam containing embedded magnetostrictive patches, which will act both as sensors and actuators. Coils are considered to activate patches and/or to sense the changes in stress in patches. When the actuator patch is excited dynamically by passing alternating current through the actuation coil, it introduces stress in the structure due to magneto mechanical coupling effect, which in turn produce magnetic flux in the sensing patches. This magnetic flux generates open circuit voltage in the sensing coils. Measurements of open circuit voltage before and after the damage(delamination) occurrence provides a diagnostic to indicate the presence of the damage. Numerical results have been obtained for one combination of actuator and sensor locations

    Exploration of Plant Growth-Promoting Actinomycetes for Biofortification of Mineral Nutrients

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    Mineral malnutrition, especially Fe and Zn, affects more than two million people around the world and increases vulnerability to illness and infections. These malnourished people live in developing countries and rely upon staple foods routinely with inability to either afford for dietary diversification or pharmaceutical supplementation or industrial fortification of minerals. Biofortification is a strategy that can tackle hidden hunger merely through staple foods that people eat every day. This strategy can be achieved through agronomic practices and conventional breeding and genetic engineering approaches, and each has their own pros and cons. The sustainability of such grain fortification with higher seed mineral concentration is soil health dependent, especially on the availability of mineral in the rhizosphere. Microorganisms, the invisible engineers in improving the soil health by solubilizing trace elements and by driving various biogeochemical cycles of soil, have the ability to serve as a key solution for this complex issue. In specific, plant growth-promoting (PGP) microbes reside in root-soil interface and employ the use of siderophores, organic acids, and exopolysaccharides for increasing the mineral availability and subsequent mobilization to the plants. Increasing the seed mineral density with the use of such PGP microbes, especially actinomycetes, is in its infancy. Hence, this chapter is aimed to bring a view on the role of microbes, especially actinomycetes, with metal-mobilizing and PGP traits for biofortification as this strategy may act as a complementary sustainable tool for the existing biofortification strategies

    Plant Growth Promoting Actinobacteria : A New Avenue for Enhancing the Productivity and Soil Fertility of Grain Legumes

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    Global yields of legumes have been relatively stagnant for the last five decades, despite the adoption of conventional and molecular breeding approaches. The use of plant growth-promoting (PGP) bacteria for improving agricultural production, soil and plant health has become one of the most attractive strategies for developing sustainable agriculture. Actinomycetes are bacteria that play an important role in PGP and plant protection, produce secondary metabolites of commercial interest, and their use is well documented in wheat, rice, beans, chickpeas and peas. In order to promote legumes, the general assembly of the UN recently declared 2016 the “International Year of Pulses.” In view of this development, this book illustrates how PGP actinomycetes can improve grain yield and soil fertility, improve control of insect pests and phytopathogens, and enhance host-plant resistance. It also addresses special topics of current interest, e.g. the role of PGP actinomycetes in the biofortification of legume seeds and bioremediation of heavy metals

    A report on occurrence of Phlebotomine sand flies (Diptera: Psychodidae) and two new country records from Andaman & Nicobar Islands, a Union territory of India

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    Jambulingam, P., Srinivasan, R., Gopalakrishnan, S. (2022): A report on occurrence of Phlebotomine sand flies (Diptera: Psychodidae) and two new country records from Andaman & Nicobar Islands, a Union territory of India. Zootaxa 5093 (2): 241-246, DOI: 10.11646/zootaxa.5093.2.

    Understanding the Evolution of Plant Growth-Promoting Rhizobacteria

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    Soil is an integral part of the complicated natural environment which is very much alive with complex ecosystem of microbes. Among them, the symbiotic association of rhizobacteria with plants especially on agriculturally important crops is very much advantageous in improving the soil and plant health. These plant growth-promoting rhizobacteria (PGPR) have evolved over the years and involved in many plant functions such as growth promotion, root development, colonization, production of metabolites and in eliciting plant defence mechanism against abiotic and biotic agents. The PGPR’s ability to fix the atmospheric nitrogen, solubilize phosphate, potassium and zinc, produce siderophore along with wide variety of phytohormones and secondary metabolites such as antibiotics have attributed to their significance as biocontrol agents. These functions lead to their application as biofertilizers, biopesticides, bioprotectants and phytostimulators. The employment of these PGPR is very much important in agricultural fields as they reduce the burden of chemical fertilizers and pesticides to the farmers and in turn promises an increased crop yield. This chapter discusses the symbiotic association of PGPR with plants in detail including their direct and indirect mechanisms and basis of their induced systemic defence mechanism. It also highlights the use of bioinoculants and nanoformulations of PGPR as an effective tool towards enhanced agricultural production and to combat the plant diseases in an eco-friendly manner

    Delamination detection in aerospace composite panels using convolutional autoencoders

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    Modern aerospace structures demand lightweight design procedures and require scheduled maintenance intervals. Supervised deep learning strategies can allow reliable damage detection provided a large amount of data is available to train. These learning algorithms may face problems in the absence of possible damage scenarios in the training dataset. This class imbalance problem in supervised deep learning may curtail the learning process and can possess issues related to generalization on unseen examples. On the other hand, unsupervised deep learning algorithms like autoencoders can handle such situations in the absence of labeled data. In this study, an aerospace composite panel is interrogated with a circular array of piezoelectric transducers using ultrasonic guided waves in a round-robin fashion. The time-series signals are collected for both the healthy and unhealthy state of the structure and transformed into a time-frequency dataset using continuous wavelet transformation. A convolutional autoencoder algorithm trained on healthy signals is used to identify anomalies in the form of delamination in the structure. The proposed methodology can successfully identify delamination in the structure with good accuracy

    Sensing of delamination in laminated composite beams using multiple magnetostrictive patches

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    Smart Composite laminates with multiple magnetorestrictive patches have been fabricated, one patch is for actuation and the other patch is for sensing. Horse-show type coil arrangement is used for actuation and sensing, which contains two arms, one arm is used for actuation and the other arm for sensing. Delamination sensing is carried out for composite laminated beam specimens, one with delamination and the other without any defect or damage. Actuation coil is used to induce stress in the magnetostrictive material, sensing coil is used for sensing to measure the induced open circuit voltage. Due to delamination, the stress produced in the magnetostrictive patch changes and that alters the magnetic flux through the sensing coil. This causes a change in the induced open circuit voltage across the sensing coil. The paper presents, the sensing of delamination in composite laminates using multiple magnetostrictive patches with horse-shoe type coil arrangement. The difference in the open circuit voltage with and without delamination is treated as delamination sensing voltage. For theoretical modeling, different models of the laminated composite beams with magnetostrictive sensors and actuators have been developed for the beams with and without delamination. Finite element analysis is carried out using NISA finite element software. Numerical values of open circuit voltage verses actuation current for both the experimental and computational studies are presented. Comparison of experimental and the computational studies shows that there is a good agreement between both the results obtained. Hence, the modeling method is very efficient and may be very much useful for the further studies related to the smart structures with intelligent materials

    Evaluation of Plant Growth-Promoting Actinomycetes on Vigna

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    The legume genus Vigna are grown in warm temperate and tropical regions globally but are particularly crucial to human nutrition in large parts of tropical Africa and Asia. It can also serve as forage crops. Among the Vigna species, the Asian Vigna has received little research initiatives than African Vigna such as cowpea and mung bean. From the last decade, the research initiatives are getting increased for both the Vigna species in the context of genetic resource analysis and genome mapping. The production status has remained stagnant in many countries due to long list of pest and pathogen attacks and abiotic stresses. Use of plant growth-promoting microbes for improving the productivity of Vigna species is still in its infancy, and there were very few field evaluation studies conducted. This chapter brings an overview of several reports which documented the various facets of plant growth-promoting microbes, particularly of actinomycetes, in increasing growth performance and productivity of Vigna

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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