Sharks in Sangam Literary Fishermen's Lives and Contemporary Fishermen's Lives

The Sangam literature consists of texts that explain the internal lives of peoples from five ancient Tamil land divisions. In this anthology, Neythal explains the life of the sea and the fishermen who are dependent on the sea and also describes the sea creatures of marine life. Records of fishes are also found among these species. 18 types of fish are found in this way. Similarly, the writer conducted a field survey of fishermen living in Pamban village in Rameswaram circle, Ramanathapuram district, and found 204 types of fish. The five types of fish found in Sangam literature are lobster fish, codfish, shark fish, swordfish, and sawshark fish, and they are found in the lives of modern fishermen. The main occupation of fishermen is fishing. These fishing methods were documented in Sangam literature by poets of the time. Sharks mentioned in Sangam literature are also found among fishermen living in four places: Pondicherry, Cuddalore District, Mandapam, and Pampan (Ramanathapuram District). Here, the names of these sharks, their types, their habitats, characteristics of sharks, hunting of sharks, food of sharks, breeding patterns, worship of sharks, and other uses of sharks have been investigated

Effectiveness of Deep Feature Extraction Algorithm in Determining the Maturity of Fruits: A Review

Intelligent farming technology helps farmers overcome tough obstacles in the farming process, such as increased sup-plier costs, a lack of labour, customer satisfaction, and more. Artificial Intelligence (AI) is a remarkable technology in smart farming because it deeply understands the issue and can help farmers make decisions. This article's main objective is to identify and examine the concepts and techniques of Convolutional Neural Networks (CNN) technology that could aid in classifying the ripeness stages of fruit in intelligent farming. This paper systematically reviews 18 previous works for classifying the ripeness stages of fruit. This review outlines the most commonly used algorithms, activation functions, optimisation functions, and platforms for algorithm implementation. In addition, found that not all algorithms are suitable for even near-equivalent processes. Therefore, this study suggests the intensity of the CNN algorithms concerning various metrics to find the suitability for the operations/applications. Finally, this paper offers some future research directions in the ripeness classification of fruits

Pharmacognostical, Phytochemical and Antileucodermic Studies on the Bark of Dalbergia Sissoo Roxb.

Through the years , the world and its people have undergone many changes with lot of invention and growing technology, the world has also seen a number of unknown disease in increasing numbers, some being endemic and others affecting almost whole of the world population. Medicines have been successfully found out for most of the disease and are in use presently. Synthetic drugs though useful for immediate relief and easily available, they lead to a In the present work, a medicinally useful plant in folklore claim and in the Indian system of medicine, Dalbergia sissoo Roxb was selected. The literature survey showed that very little work has been done on Dalbergia sissoo. The Macroscopical description of the bark showed that bark are rough and hard with splintery fracture, 0.5-1cm thickness, odour less, bitter taste, flat in shape, brown colour. number of side effects and adverse affects. And more drugs are needed to be taken to treat this adverse affects

Bioreduction of silver nanoparticles from aerial parts of Euphorbia hirta L. (EH-ET) and its potent anticancer activities against neuroblastoma cell lines

Euphorbia hirta L. (Family: Euphorbiaceae) is a versatile medicinal plant and enriched with novel bioactive molecules and possess broad-spectrum pharmacological actions. Present work is aiming to synthesis and characterize of silver nanoparticles (AgNPs) by bioreduction method an using ethanolic extract of aerial parts of Euphorbia hirta L. (EH-ET). The synthesized AgNPs observed by a color change of source solution (as AgNPs) and further confirmed by the UV-Visible spectroscopic technique. The AgNPs synthesized were characterized by Scanning Electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR) and Zeta potential analysis. The synthesized AgNPs are polydispersed and some places it’s agglomerated. The particle size EH-ET silver nanoparticles were analyzed using Beckman coulter particle size analyzer (DelsaTM Nano common). The average size of the particles size noted in 2.9-206.3 nm. Anticancer activity of EH-ET Silver nanoparticles was tested against neuroblastoma cells (SH-SY5Y) and breast cancer cells (SH-SY5Y) and cytotoxicity were tested in vero cells by MTT assay. The preliminary confirmation of the synthesized AgNPs by the present method was made by the appearance of reddish brown color and the visible absorption peak at 429.5 nm. SEM image revealed that AgNPs synthesized were spherical in shape and silver nanoparticles were in the size range of 2.9 to 206.3 nm. FT-IR spectra showed the peaks corresponding to functional groups C=O, -C=C and -OH, which actively participated in bio-reduction and subsequent stabilization reactions in the synthesis of AgNPs. The obtained nanoparticles showed promising anticancer activity against neuroblastoma cells (SH-SY5Yc) and breast cancer cells (MCF-7) with IC50 values of 29.85 and 335 µg/mL, respectively. Whereas, the nanoparticles did not show any activity against vero cell lines. The synthesized silver nanoparticles using an ethanolic extract of Euphorbia hirta L. would be helpful for the preparation of potent cytotoxicity agents to destroy cancer cells

PSO based optimal distributed generation placement and capacity by considering harmonic limits

Jedinice decentralizirane proizvodnje (DG units) također se nazivaju raspršenom proizvodnjom, decentraliziranom proizvodnjom i ugrađenom proizvodnjom. Uobičajeno su to male elektrane, direktno povezane bilo s distribucijom ili potrošačem. Uspostava decentralizirane proizvodnje na temelju invertera rapidno se povećala zadnjih godina. To može biti rezultat povećane razine sekundarne frekvencije koja može prekoračiti dopušenu razinu harmonijskog izobličenja. Razina prodiranja DG ograničena je harmonijskim izobličenjem zbog nelinearne struje iz DG jedinica na bazi invertera. U ovom je radu određena maksimalna razina penetracije DG, uzimajući u obzir harmonijska ograničenja. Harmonici su određeni pristupom odvojenog harmonijskog protoka snage (DHPF). Ograničenja ovog predloženog problema uključuju jednadžbe balansiranja snage, ograničenja napona sabirnice, ukupne i pojedinačne granice harmonijskog izobličenja specificiranog normom IEEE-519. Problem je riješen primjenom tehnike optimizacije pomoću algoritma optimizacije roja čestica. Rezultati simulacije dobiveni su primjenom MATPOWER/MATLAB u sustavima ispitivanja sabirnice IEEE 30 i IEEE 57, a rezultati dokazuju učinkovitost predloženog pristupa.Distributed Generation (DG) units are also called Dispersed Generation, Decentralized Generation and Embedded Generation. They are normally small generating plants, connected directly to either distribution side or customer side. The installation of inverter-based distributed generation (DG) has increased rapidly in recent years. This higher penetration level may result in the increased level of harmonics, which could exceed the permissible harmonic distortion level. The penetration level of DG is restricted by harmonic distortion, because of the nonlinear current injected by inverter based DG units. In this work, the maximum DG penetration level is determined, by considering the harmonic limits. The harmonics are determined by using the Decoupled Harmonic Power Flow (DHPF) approach. The constraints of this proposed problem include power balance equations, bus voltage limits, total and individual harmonic distortion limits specified by IEEE-519 standard. The problem is solved by using Particle Swarm Optimization (PSO) algorithm based optimization technique. Simulation results are obtained by MATPOWER/MATLAB in IEEE 30 and IEEE 57 bus test systems and the results prove the effectiveness of this proposed approach

SilkSatDb: a microsatellite database of the silkworm, Bombyx mori

The SilkSatDb (silkmoth microsatellite database) (http://www.cdfd.org.in/silksatdb) is a relational database of microsatellites extracted from the available expressed sequence tags and whole genome shotgun sequences of the silkmoth, Bombyx mori. The database has been rendered with a simple and robust web-based search facility, developed using PHP. The SilkSatDb also stores information on primers developed and validated in the laboratory. Users can retrieve information on the microsatellite and the protocols used, along with informative figures and polymorphism status of those microsatellites. In addition, the interface is coupled with Autoprimer, a primer-designing program, using which users can design primers for the loci of interest

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