Distribution of Plesionika semilaevis along the southwest coast of India

The commercial deep-sea caridean shrimp Plesionika martia (A. Milne-Edwards, 1883) has long been recorded from India and constitutes an important part of catches of the deep-sea shrimp fisheries. A recent survey in some deep-sea fishing harbours along the south-west coast of India, however, revealed that all material previously reported as 'P. martia' is actually a misidentification of its closely related species Plesionika semilaevis Spence Bate, 1888

A new record of deep-sea caridean shrimp Heterocarpus chani (Decapoda: Pandalidae) from the southern coast of India

Heterocarpus genus belong to the family Pandalidae (Decapoda, Caridea) which are common in deeper waters. Some species are of commercial value or fishery potential by their large size. They are characterized by rostrum armed with teeth on both margins; carapace with postrostral carina extending nearly to posterior margin and with 1 or more longitudinal lateral carinae; pereopods with 2nd pair distinctly unequal and dissimilar. The species Heterocarpus chani was recorded from various fishing harbours on the south coast (Sakthikulangara Fishing Harbour; Kalamuku Landing centre (Kerala) and the Thoothukudi and Nagapattinam Fisheries Harbours Tamil Nadu) from the deep-sea catches taken at depth of 200 – 350 m

Plesionika reflexa - a new record of deep-sea caridean shrimp from the southwest coast of India

Plesionika reflexa, Chace, 1985 (Decapoda: Pandalidae) was recorded from the catch of deep sea shrimp trawlers operated at a depth of 200-300 m off Sakthikulangara (8°56’60.78"N / 76°32’ 34.27"E), Kollam south-west coast of India. The ovigerous female [Carapace length (CL): 15mm; Rostrum length (RL): 28mm] was reddish in colour with dark red ring formation in posterior abdomen

A new record of deep-sea caridean shrimp Plesionika narval (Decapoda: Pandalidae) from the south west coast of India

Pandalid shrimp, Plesionika narval (Fabricius, 1787) was recorded from trawl fishing off Kochi (9°59’ N 76°14’E), Kerala, south-west coast of India. The specimens were obtained from deep-sea shrimp trawlers operated at a depth range of 250-300 m. Samples were collected from the Kalamuku Landing Centre on 4th April 2014. 14 males and 12 females in good condition were segregated from the mixed deep-sea shrimp doscards and their measurements recorded (Table 1). Body was transparently pinkred in colour with a pair of sub dorsal and lateral red margined white stripes extending along almost entire body length from anterior carapace to posterior abdomen

Plesionika persica (Kemp, 1925) and P. reflexa Chace, 1985 (Crustacea: Decapoda: Pandalidae) from India

The availability of Indian specimens of Plesionika persica (Kemp, 1925) and P. reflexa Chace, 1985 provided more information on the taxonomy around these two species. Moreover, it is the first record of P. persica to India. Although P. taiwanica Chan and Yu, 2000 is superficially rather similar to P. persica, there are many differences between them and probably it is inappropriate to establish a species group for these two species. It is likely that all previous records of P. ensis (A. Milne-Edwards, 1881) from India actually represent P. reflexa Chace, 1985. Nevertheless, the present Indian specimens of P. reflexa have more than 10% COI sequence divergence from the topotypic materials of both P. ensis and P. reflexa, and the epipods at the pereiopods III and IV reduced or absent. This data further highlights the confusing taxonomy in the "P. ensis" grou

Branch and Price Solution Approach for Order Acceptance and Capacity Planning in Make-to-Order Operations

The increasing emphasis on mass customization, shortened product lifecycles, synchronized supply chains, when coupled with advances in information system, is driving most firms towards make-to-order (MTO) operations. Increasing global competition, lower profit margins, and higher customer expectations force the MTO firms to plan its capacity by managing the effective demand. The goal of this research was to maximize the operational profits of a make-to-order operation by selectively accepting incoming customer orders and simultaneously allocating capacity for them at the sales stage. For integrating the two decisions, a Mixed-Integer Linear Program (MILP) was formulated which can aid an operations manager in an MTO environment to select a set of potential customer orders such that all the selected orders are fulfilled by their deadline. The proposed model combines order acceptance/rejection decision with detailed scheduling. Experiments with the formulation indicate that for larger problem sizes, the computational time required to determine an optimal solution is prohibitive. This formulation inherits a block diagonal structure, and can be decomposed into one or more sub-problems (i.e. one sub-problem for each customer order) and a master problem by applying Dantzig-Wolfe’s decomposition principles. To efficiently solve the original MILP, an exact Branch-and-Price algorithm was successfully developed. Various approximation algorithms were developed to further improve the runtime. Experiments conducted unequivocally show the efficiency of these algorithms compared to a commercial optimization solver. The existing literature addresses the static order acceptance problem for a single machine environment having regular capacity with an objective to maximize profits and a penalty for tardiness. This dissertation has solved the order acceptance and capacity planning problem for a job shop environment with multiple resources. Both regular and overtime resources is considered. The Branch-and-Price algorithms developed in this dissertation are faster and can be incorporated in a decision support system which can be used on a daily basis to help make intelligent decisions in a MTO operation

3′-(4-Chloro­benzo­yl)-4′-(4-chloro­phen­yl)-1′-methyl­spiro­[indoline-3,2′-pyrrolidin]-2-one

In the title compound, C25H20Cl2N2O2, the pyrrolidine ring adopts an envelope conformation and the best plane through the five ring atoms makes a dihedral angle of 87.03 (8)° with the indoline ring. Mol­ecules are connected by pairs of N—H⋯O hydrogen bonds into centrosymmetric dimers with an R 2 2(8) graph-set ring motif. C—H⋯O hydrogen bonds stabilize the crystal structure

Phenotypic variation using truss network system in the deep-sea shrimp Heterocarpus chani Li, 2006 (Caridea: Pandalidae) off Arabian Sea and Bay of Bengal

This study assesses the morphological differentiation of deepsea caridean shrimp, Heterocarpus chani Li, 2006 using a truss network system, to investigate different phenotypic stocks. Total, 1879 specimens were collected from Kalamuku (KAL), Sakthikulangara (SAK), and Colachel (COL) on the southwest coast of Arabian Sea (AS) and from Nagapattinam (NAG) and Tuticorin (TUT) on the southeast coast (BOB: Bay of Bengal) during 2013-2015. Multivariate analysis, such as Principal Component Analysis (PCA), Discriminant Factor Analysis (DFA), and Hierarchical Cluster Analysis (HCA) were used as statistical tools for differentiating the populations between the locations. Sex ratio was found to be 1:1. The coefficient of variation (CV) analysis was conducted for males and females using 39 morphometric truss variables which observed > 25 % variation. PCA indicates initial three components aggregately explained > 47 % of the total morphometric variation following the size effect correction. DFA demonstrated through the original and cross-validation 76.75 %, 72.26 % and 78.64 %, 74.81 % for male and female respectively, indicating significant variation in the first two canonical variables. DFA confirmed the presence of three distinct populations along the southern coasts of India. HCA also grouped the population into three major clusters specifically based on the 4th abdominal pleuron characters. The group-I included populations from NAG, group-II consisted of the TUT and group-III with SAK, KAL, and COL populations. Morphologically, the initial four abdominal pleuron characters were proved to be differentiating the population. The present study indicates the base study on morphological stock identification of H. chani indicating significant phenotypic heterogeneity between the populations of AS and BOB

Fibronectin on the Surface of Myeloma Cell-derived Exosomes Mediates Exosome-Cell Interactions

Exosomes regulate cell behavior by binding to and delivering their cargo to target cells; however, the mechanisms mediating exosome-cell interactions are poorly understood. Heparan sulfates on target cell surfaces can act as receptors for exosome uptake, but the ligand for heparan sulfate on exosomes has not been identified. Using exosomes isolated from myeloma cell lines and from myeloma patients, we identify exosomal fibronectin as a key heparan sulfate-binding ligand and mediator of exosome-cell interactions. We discovered that heparan sulfate plays a dual role in exosome-cell interaction; heparan sulfate on exosomes captures fibronectin, and on target cells it acts as a receptor for fibronectin. Removal of heparan sulfate from the exosome surface releases fibronectin and dramatically inhibits exosome-target cell interaction. Antibody specific for the Hep-II heparin-binding domain of fibronectin blocks exosome interaction with tumor cells or with marrow stromal cells. Regarding exosome function, fibronectin-mediated binding of exosomes to myeloma cells activated p38 and pERK signaling and expression of downstream target genes DKK1 and MMP-9, two molecules that promote myeloma progression. Antibody against fibronectin inhibited the ability of myeloma-derived exosomes to stimulate endothelial cell invasion. Heparin or heparin mimetics including Roneparstat, a modified heparin in phase I trials in myeloma patients, significantly inhibited exosome-cell interactions. These studies provide the first evidence that fibronectin binding to heparan sulfate mediates exosome-cell interactions, revealing a fundamental mechanism important for exosome-mediated cross-talk within tumor microenvironments. Moreover, these results imply that therapeutic disruption of fibronectin-heparan sulfate interactions will negatively impact myeloma tumor growth and progression