Heuristics and Learning Models for Dubins MinMax Traveling Salesman Problem.

This paper addresses a MinMax variant of the Dubins multiple traveling salesman problem (mTSP). This routing problem arises naturally in mission planning applications involving fixed-wing unmanned vehicles and ground robots. We first formulate the routing problem, referred to as the one-in-a-set Dubins mTSP problem (MD-GmTSP), as a mixed-integer linear program (MILP). We then develop heuristic-based search methods for the MD-GmTSP using tour construction algorithms to generate initial feasible solutions relatively fast and then improve on these solutions using variants of the variable neighborhood search (VNS) metaheuristic. Finally, we also explore a graph neural network to implicitly learn policies for the MD-GmTSP using a learning-based approach; specifically, we employ an S-sample batch reinforcement learning method on a shared graph neural network architecture and distributed policy networks to solve the MD-GMTSP. All the proposed algorithms are implemented on modified TSPLIB instances, and the performance of all the proposed algorithms is corroborated. The results show that learning based approaches work well for smaller sized instances, while the VNS based heuristics find the best solutions for larger instances.

Medially placed vagus nerve in relation to common carotid artery: a pointer to a non-recurrent laryngeal nerve.

The aim of this study was to highlight a medialized vagus in relation to common carotid artery as an operative marker to a non-recurrent laryngeal nerve during thyroid surgeries. Three patients who underwent thyroidectomy, in who per operative diagnosis of right non-recurrent laryngeal nerve was made and the findings were confirmed radiologically by demonstration of aberrant subclavian artery were included in the study. A medially placed vagus nerve in relation to common carotid artery was the common observation in all the 3 patients. With no operative marker to identify a non-recurrent laryngeal nerve, it is more prone to injury during thyroidectomies. Vagus nerve which was constantly seen medial to the common carotid artery in all our three patients can be used as an operative marker to a non-recurrent laryngeal nerve.

Asphaltene-derived nanocomposites for the removal of emerging pollutants and its antimicrobial effects: batch and continuous column studies.

Emerging contaminants are diverse ecotoxic materials requiring unique treatment for removal. Asphaltenes are environmentally hazardous carbon-rich solid waste product of the petroleum industry. In the current work, asphaltene-derived activated carbon (AC) was loaded with silver (Ag/AC) and used to remove amoxicillin (AMX) and tetracycline (TC) from aqueous phase. The prepared Ag/AC was characterised using FESEM, FTIR, XRD and surface area analysis. The FESEM micrographs confirmed the spherical silver nanoparticle-laden porous AC, and the BET surface area was found to be 213 m2/g. Batch adsorption studies were performed, and the equilibrium data were fit into adsorption isotherm and kinetic models. The Ag/AC exhibited superior monolayer adsorption capacity of 1012 mg/g and 770 mg/g for AMX and TC, respectively. The continuous column studies were also performed to evaluate the breakthrough parameters. Furthermore, the antimicrobial activity of the adsorbent was evaluated using zone of inhibition studies. Ag/AC was found to have an 8-mm-diameter zone of microbial inhibition. The obtained results showed that Ag/AC was a promising material for the removal of antibiotics and inhibition of resistance-developed mutated microbes in effluent water.

Cu-BDC and Cu2O Derived from Cu-BDC for the Removal and Oxidation of Asphaltenes: A Comparative Study.

Asphaltenes have been associated with a number of problems in the petroleum industry with regard to the storage, exploration, and transportation of petroleum crude. In the current work, Copper-BenzeneDiCarboxylic acid (Cu-BDC) and Cu-BDC derived metal oxide has been used in the removal and oxidation of the asphaltenes. The MOF derived metal oxide was confirmed to be Cu2O. Though adsorption of asphaltenes followed a Langmuir adsorption isotherm in both cases, Cu-BDC was superior to Cu2O with an adsorption capacity four times that of the adsorption capacity of Cu2O. Also, the kinetic studies showed that the adsorption kinetics followed pseudo second order adsorption kinetics in both cases. From the oxidation studies, it was found that Cu-BDC was unstable beyond 350 °C and had no role in catalyzing the oxidation reaction. The Cu2O, however, was successful at catalyzing the asphaltene oxidation reaction and a reduction of 50 °C in oxidation temperature was observed. Hence comparing Cu-BDC with Cu2O, MOF was successful in the adsorption reaction but the MOF derived metal oxide had the upper hand in the oxidation reaction.