Effect of pulse sprout spray as a foliar nutrition to enhance seed yield and quality in barnyard millet (Echinochloa frumentacea l.)

Millets are rich in valuable nutrients such as carbohydrates, proteins, dietary fibre, minerals and vitamins. The uninterrupted and disproportionate use of chemical fertilizers over a longer period has resulted in deterioration of soil health and reduced yield.  Foliar spray is a very easy way to supply valuable nutrients to plants. With this background, an experiment was conducted to see the effect of pulse sprout extract spray as a foliar spray on the seed crop Barnyard millet (Echinochloa frumentacea L.). The seed crop given foliar treatment with 2% horse gram pulse sprout extract spray recorded higher growth attributes namely plant height (172.8 cm), total chlorophyll content (1.560 mg/g) and yield attributes viz., seed yield per plant (26.5 g), seed yield per plot (2.54 kg), seed yield per hectare (2506 kg), 1000 seed weight (3.28 g), quality parameters viz., germination (89%), vigour index (2461) and biochemical parameters of resultant seeds in both kharif and rabi seasons. The crop given with foliar nutrition of 2% horse gram sprout extract spray showed a low number of days to flower initiation (45 days) and 50% flowering (54 days) when compared to control followed by 2% cowpea sprout extract. Hence it was hypothesized that application of the nutrient extract from the sprouted pulses in the form of foliar spray would enable better crop growth and productivity of Barnyard millet

NITROGEN, PHOSPHORUS, AND POTASSIUM RANGE OF VERMICOMPOST USING EISENIA FETIDA AND PERIONYX EXCAVATUS

The aim of the presentation is to produce vermicomposting from organic kitchen solid wastes using two types of earthworms such as Eisenia fetida and Perionyx excavatus and check the nitrogen, phosphorus, and potassium level between E. fetida and P. excavatus. This study examines the potential of the E. fetida and P. excavatus in the vermicompost of kitchen waste. As kitchen waste is rich in organic material. Physical and biochemical parameters were analyzed during the period of 60 days. Pre-decomposition is 15 days and subsequent vermicomposting is 60 days indicates, the rule of these species of vermitechnology increase was found in all the parameters such as total nitrogen (%), available phosphorus (%), and exchangeable potassium (%) while a decrease was found in pH and carbon-to-nitrogen ratio in E. fetida as the timing of vermicomposting increased from 0 days to 60 days

7-(2-Chloro­phen­yl)-2,6,9-trimethyl­dibenzo[b,h][1,6]naphthyridine

In the title compound, C25H19ClN2, the dibenzo[b,h][1,6]naphthyridine system is planar to within 0.16 (2) Å, and the chloro­phenyl ring is inclined to it by 82.53 (7)°. In the crystal, mol­ecules are linked by C—H⋯N hydrogen bonds, forming chains propagating in [100]. There are also a number of weak π–π stacking inter­actions present [centroid–centroid distances = 3.8531 (1) and 3.7631 (1) Å]

An Efficient Interaction Pattern Discovery For Human Meetings

Abstract -Meetings are an important communication and coordination activity of teams: status is discussed, new decisions are made, alternatives are considered, details are explained, information is presented, and new ideas are generated. As such, meetings contain a large amount of rich project information that is often not formally documented. Capturing all of this informal meeting information has been a topic of research in several communities over the past decade. In this work, data mining techniques are used to detect and analyze the frequent interaction patterns to discover various types of knowledge on human interactions. An interaction tree based pattern mining algorithms was proposed to analyze tree structures and extract interaction flow patterns for meetings. In this work tree based mining algorithm proposed for human interaction flow, where the human interaction flow in a discussion session is represented as a tree. Proposed system extend an interactive tree based pattern mining algorithm in two ways. First, it is proposed a mining method to extract frequent patterns of human interaction to support several categories of meeting. Second, it is explored modified embedded tree mining for hidden interaction pattern discovery. Modified Embedded subtree mining is the generalization of induced subtrees, which not allow direct parent child branches, also considers ancestor-descendant branches. The experimental results show the discovered patterns can be utilized to evaluate a meeting discussion (debate) is efficient and compare the results of different algorithms of interaction flow. Keywords -Tree based mining, Frequent interaction subtree mining, Frequent interaction mining and Modified Embedded subtree mining

A simple and versatile machine for creep testing at low loads (6–300 N) and on miniaturized specimens: Application to a Mg-base alloy

High temperature creep testing at a very low load range (<10 N) on miniaturized specimens has always been a challenge due to inherent design limitation (such as significant preload) of the conventional creep testing machines. In the present study, the challenge was overcome by developing a simple and versatile horizontal creep testing machine to conduct creep tests in the loading range of ∼6–300 N in tension and in compression. The competence of the in-house-built horizontal creep machine was validated by conducting creep testing on dog-bone shaped sheet specimens of cast Mg-1Sn-1Ca (TX11) Mg-base alloy over a lower stress range of 1.6–5.9 MPa (equivalent load range of 6.4–18.1 N) at 450 °C and in the high stress range of 20–80 MPa (equivalent load range of 76–310 N) at 175 °C

Room and High Temperature Tensile Responses of Tib2-Graphene Al 7075 Hybrid Composite Processed through Squeeze Casting

The development of aluminium composite with the inclusion of advanced materials is a continuous research process due to the increasing industrial demand for advanced hybrid materials. To cater for this need, this research work focuses on the development of Al 7075 alloy reinforced with TiB2 and graphene and on the evaluation of its strengthening mechanism. Two different modes of improving the strength of the hybrid composite have been followed; one is by the inclusion of graphene at three levels of 0.1, 0.2 and 0.3%, and another by the processing route, squeeze casting technique by compression of the molten hybrid composite slurry before casting. The microstructure and characterisation of the composite material are examined and analysed with the help of XRD, SEM, EDAX and chemical spectroscopy. A microstructure evaluation is employed to justify the homogenous dispersal and the existence of reinforced particles. A tensile test is conducted at room temperature and high temperature environments to assess the tensile strength. The research outcome affirms that a significant improvement in tensile and hardness has been noted in comparison with base alloy. The fracture-morphology results affirm the change in fracture mode from brittle to ductile when the tensile testing environment changes from room temperature to high temperature. Finally, the dispersion strengthening mechanism is validated with an empirical approach