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Effects of a Temperate Tropical Cruise on the Microbial Surface Community of a Differently Operated Ship

Microbial communities colonizing the hulls of vulnerable vessels, such as those with lengthy harbor residence instances, low speeds, and Long periods of motionlessness in Water changes as a result of environmental variables during ocean voyages are expected but rarely studied. Microbial communities were discovered on the hull of the TS Golden Bear, a ship operated differently during a voyage from the port of San Francisco to the South Pacific and back. We demonstrate that bacterial communities are highly resilient and can withstand physiologically demanding journeys through extreme temperature and salinity changes. After leaving San Francisco Harbor south toward Long Beach, a 42% decrease in biomass from bacteria and a 62% decrease in algal cellular abundance suggest a community-wide negative response to increasing salinity and temperature. The ship lost 36% of its biomass and 26% of its cellular abundance when it reached the hot, high-salinity seas off Hawaii. In Hawaii the efficiency of cellular fluorescence was reduced by 17%. Following a return to temperate seas off the coast of Vallejo, California, biomass rose 230%, cellular abundance remained constant, and intracellular fluorescence efficiency increased. This study's methods for analysing microbial (and macrofouling) populations are efficient and cost-effective. The goal of this paper is to solve Scale weights are based on GRA integers with interval values. The Gray Relational Analysis (GRA) method is used to solve MCDM problems with unknown knowledge. The traditional GRA method's basic idea, Evaluation of scale weights, is used to create some optimisation models. “Vallejo, Long Beach, Lahaina and Vallejo taken this alternative in this method and evaluation parameters is Parameters C1 for evaluating practices is Temp (◦C), C2 for Salinity, C3 for Pelagic cellular abundance (×103 cells/L), C4 for Pelagic biomass (μg Chl a/L), C5 for Pelagic photosynthetic efficiency (Fv/Fm) and C6 for Average speed of advance (kts)”. This analysis's conventional The GRA method's fundamental concept Determines the long-term solution from the short-term and negative-best solutions, but this comparison is not deemed significant. “From the result it is seen that Vallejo 1, CA is got the first rank where as is the Long Beach, CA is having the lowest rank. This paper shows the Vallejo 1 CA highest biofouling regulations recently set by California State Lands.”

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Promoting Green Supply Chain Management With Optimal Selection Of Packaging Materials Using Integrated Fuzzy MCDM and Rl Model

Green supply chain management is highly significant to maintain environmental sustainability. The agglomeration of green components enhances and supports the business activities to practice green supply chain more effectively. Utilizing sustainable packaging materials in logistics is a step towards promoting business eco sustainability. This research work attempts to develop a hybrid decision making model by integrating techniques of fuzzy multi criteria decision making (MCDM) and Reinforcement Learning (RL). This research work proposes a decision-making method of IDOCRIW (Integrated Determination of Objective Criteria Weights) under fuzzy environment with linguistic representations to determine the criterion weights of material selection and applies the RL method of Q learning in ranking the packaging materials for promoting green sustainability. The proposed fuzzy based MCDM method resolves the problems of conflict of uncertainty. The ranking results obtained using this method are compared with the non-integrated MCDM method. The proposed combined model shall be discussed under various other extended fuzzy representations. The decision-making problem on optimal selection of packaging materials addressed in this research work benefits the business decision makers to make right choices. This hybrid model will certainly make the logistic environment more robust and also it will upscale the smart framework of supply chain management.

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Evaluation of Potential for Textile Waste Management using the PROMETHEE Method

Textile waste management is a critical component of sustainable practices in the fashion and textile industry. It encompasses the responsible handling and disposal of discarded textiles, including clothing, fabrics, and related materials. The goal of effective waste management is to minimize the environmental impact of textile production and consumption. Several strategies are employed in textile waste management: Recycling involves transforming used textiles into new products or materials, reducing the need for virgin resources. Clothing and textiles in good condition can be donated or sold through second-hand markets, extending their lifespan. Natural fibers like cotton and wool can be composted, returning them to the natural cycle. As the fashion industry continues to grow, so does its environmental footprint through landfill decomposing. Understanding and implementing effective waste management strategies in the textile sector can lead to several crucial benefits. Developing innovative ways to manage textile waste can lead to the creation of new industries and job opportunities. This includes recycling facilities, resale markets, and companies focused on sustainable fashion. Consumer Awareness Research in textile waste management helps raise public awareness about the environmental impact of the fashion industry. This knowledge empowers consumers to make more informed and sustainable choices when purchasing clothing. Regulatory Compliance enforced by governments and regulatory bodies are increasingly focused on sustainable practices within industries, including fashion. Research in waste management provides valuable insights for developing and enforcing policies to ensure compliance. Circular Economy Promotion is required for effective textile waste management that supports the transition towards a circular economy and a sustainable life cycle, where resources are reused and recycled rather than disposed-off after a single use. By extending the life of textiles through reuse and recycling, the carbon footprint associated with the production and transportation of new clothing is reduced. Innovation and Technology Advancement through research in textile waste management drives innovation in recycling technologies, fabric design, and sustainable production methods, which can have broader applications beyond the fashion industry. Textile waste is a global issue, and effective waste management practices can have positive repercussions on a worldwide scale, contributing to broader sustainability goals. The PROMETHEE method encompasses several aspects. Firstly, it considers diverse scales for evaluating different grounds. It allows for making decisions based on the best options, as illustrated by PROMETHEE I, which involves partial ranking. This involves identifying incomparable and neglected alternatives Ginning, Spinning, Sizing, Power looms, Dyeing and printing and Cotton waste, Blow room droppings, Cotton dust, Brass bora and Iron drums as per the ranking of Textile Waste Management for using the analysis of PROMETHEE Method. Power looms were considered the first rank whereas is the Spinning was ranked the lowest in the analysis.

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