4 research outputs found
Commercial importance of seaweeds: an overview
No full textAbstract Seaweeds, a vital source of marine ecosystems, are gaining popularity for their importance in ecological, economic, and industrial applications. These are profusely found in coastal areas due to the promising environmental factors. Various biochemical compounds, such as polysaccharides, proteins, lipids, and bioactive chemicals, are present in seaweed, which is useful in numerous industrial applications. Moreover, seaweeds are becoming a useful resource for addressing various environmental sustainability issues and food security, hydrocolloids to functional foods and nutraceuticals. Therefore, the cultivation and harvesting of seaweed using advanced and unique techniques are expanding globally for its efficient and sustainable production. In-depth understanding of the structural variation of seaweed, its taxonomy, and adaptation mechanisms is essential to evaluate its importance in the marine ecosystem. This review focused on botany, advanced farming techniques, and industrial prospects of seaweed, that especially emphasize the role of seaweed products in promoting a sustainable food industry. Further, this review also elaborates on various functional foods, bioactive compounds, and hydrocolloids derived from seaweed to improve food security and promote good health conditions. Besides this, insights into seaweed products for sustainable industrial application of seaweed are also emphasized in this review to address various issues related to global food systems, economic development, and environmental preservation. Graphical Abstrac
Performance Analysis of HE Methods for Low Contrast Images
No full textAbstractThe image enhancement is one of the important issues in image processing. The main purpose is to highlight certain characteristic of image such as: contrast, sharpening. Histogram equalization is the well-known method for image enhancement. Histogram equalization became a popular technique because it is simple and effective. However Histogram equalization cause excessive contrast enhancement which cause visual artifacts of processed image. In this paper new forms of histogram equalization are overviewed to overcome this drawback. The major difference among the methods is the way to divide the input histogram. Recursive exposure based sub-image histogram equalization (R_ESIHE) use average intensity value as the separating point. Median-mean based sub-image clipped histogram equalization (MMSICHE) and Quadrants dynamic histogram equalization for contrast enhancement (QDHE) use median intensity value as separating point. Here objective parameters are Peak signal to noise ratio (PSNR) and Absolute Mean Brightness Error (AMBE)used to compare the quality of enhancement
Studies on Foraging Behaviour of Honeybees on Flowers of Rapeseed Crop
No full textThis paper represents foraging behaviour of honeybees on the flowers of rapeseed crop; Apis cerana indica started foraging at 07.10hr and ceased their foraging activity at 17.25hr. Thus, the duration of foraging activity was 10.15hr which was maximum foraging period, followed by A. florea (08.00hr to 05.00hr and 09.00hr) and A. dorsata (07.50hr to 03.00hr and 07.10hr) respectively. A. cerana indica spent maximum time of 6.57 ± 0.43 sec/flower followed by A. dorsata 6.55 ± 0.26 sec/flower and and A. florea 4.4 ± 0.27 sec/flower. Maximum number of flowers visited by A. dorsata of 11.3 ± 2.3 flowers/ min then A. cerana indica of 9.7 ± 2.6 flowers/ min and A. florea of 6.3 ± 1.2 flowers/ min
Deciphering the 3D Structural Characterization of Gonadotropin-Releasing Hormone in Tenualosa ilisha Using Homology Modeling, Molecular Dynamics, and Docking Approaches
No full textGonadotropin-Releasing Hormone (GnRH) is a crucial neuropeptide that regulates reproductive functions in vertebrates. The study identifies and characterizes (GnRH) in the brain of Tenualosa ilisha, an iconic and lucrative Clupeiform fish from River Ganga, India. The current study aimed to analyze the GnRH gene in T. ilisha using an in silico study. The GnRH gene of T. ilisha comprises a full-length nucleotide sequence of 605 base pairs with an open reading frame of 312 base pairs, which encodes 103 deduced amino acids (aa), respectively. It was found that leucine (L) is the most abundant amino acid in the GnRH protein. Additionally, the ligand interactions of the GnRH were analyzed using computational approaches. The structural validation showed an excellent stereochemical quality of the GnRH protein sequence, with over 88% of residues in Ramachandran plot-favored regions. The binding site prediction revealed 6 ligand-binding pockets, with the largest pocket containing 12 amino acids. After ADME screening, 16 drug-like compounds were docked to GnRH protein. Top five ligands N-Ac-(4-Cl-Phe)-Trp-Lys-AlaNH2, LHRH_LYS (6), Seabream_GnRH, Leuprolide, and LHRH_Des-tyr (5) had binding affinities ranging from −7.5 to −5.6 kcal/mol. The stable binding site was confirmed by 100 ns molecular dynamics simulations, with RMSD values below 10 Å and key residues retaining ligand contacts. The GnRH-protein resulted in the development of a suitable peptide sequence of T. ilisha, showing similarity with the similar anadromous American shad (Alosa sapidissima). This will certainly aid in future therapeutic and captive breeding advances, thereby fostering the culture and conservation of the wild species
