In this research paper we endeavor to publish our work on novel non acrylamide based flocculant which does not threat any acrylamide release and thus is inherently safer. A novel flocculant 'Polydiallyldimethylammonium Chloride grafted Carboxymethyl Cellulose [CMC-g-P(DADMAC)]' was synthesized by both conventional and microwave assisted method. Both the synthesis were optimized in terms of synthesis parameters. The various grades synthesized were characterized through standard characterization techniques such as Scanning electron microscope (SEM), Fourier transformation Infrared spectroscopy (FTIR), Elemental analysis, X-ray diffraction (XRD) analysis, Thermal gravimetric analysis (TGA) Differential scanning calorimetry (DSC) analysis etc. Further, the various grades of the graft copolymers were optimized as flocculant by 'standard Jar test' and 'Settling test' protocols in river water, Kaolin, iron ore and coal fine suspension. The maximum flocculation efficacy achieved was 80.9 % (Kaolin suspension), 83.6 % (coal fine suspension), 79.5 % (Iron-ore suspension) and 68.3 % (River water).
Summary
The main intent of this article is to frame the dynamic NSP in the cloud using a multi‐objective optimization strategy. The benefit of the dynamic scheduling over static scheduling is that the scheduling will be done week by week based on the available number of nurses. For solving this problem, several constraints like single assignment per day, under‐staffing, shift type successions, consecutive assignments, consecutive resting days, and complete week‐end are considered. With reference to these constraints, a minimized objective function is used based on the nurse demand in week by week. Each constraint is having some conditions for solving this problem. These schedules are stored in cloud for efficient decision making regarding NSP and it helps in assisting the future scheduling purposes. It also offers secure storage when compared to the other storage devices. As a novelty, this article tries to employ the hybrid meta‐heuristic algorithm called sea lion attacking‐based deer hunting optimization algorithm. Hybrid optimization algorithms have been reported to be promising for certain search problems with a higher convergence rate. Hence, the developed hybrid optimization algorithm hardly helps to generate a feasible and near‐optimal schedule at the end of the horizon.
According to [Garg, Neha and Adhana, Deepak (January 31, 2019] when we think of waste, we only think of garbage or solid/semi-solid waste and nothing else. E-waste has become a global problem in the last decade. India also generates a large amount of her e-waste or e-waste every year. Unfortunately, E-waste is the one that doesn't get much media coverage of. Therefore, people's awareness of E waste is quite low. E- waste recycling is a concept that is almost non-existent in India . As a result, the resulting e-waste often ends up in rivers and landfills without proper recycling or treatment. This is dangerous on several levels. For both the environment and personal health. 's current paper focuses on e-waste scenarios in India and other parts of the world.
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