White Rot Fungi: Nature’s Scavenger

Patel, Ajit; Patel, Vanita; Patel, Harsh; Trivedi, Ujjval; Patel, K. C.

doi:10.1007/978-981-15-1812-6_11

Cited by 4 publications

(2 citation statements)

References 159 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, in a study by Ruan and Mezei (2022) and a study by Lei et al (2021), the authors were exploring if customers who interacted with a hotel chatbot had higher satisfaction ratings than those who interacted with a human customer service representative. Another study by Patel and Trivedi (2020) found that chatbots improved customer loyalty by providing personalized recommendations and faster service.…”

Section: Literature Reviewmentioning

confidence: 99%

Check-in to the future: Exploring the impact of contemporary information technologies and artificial intelligence on the hotel industry

Štilić¹,

Nicić²,

Puška³

2023

Turističko poslovanje

View full text Add to dashboard Cite

The hotel industry is undergoing significant change as a result of technological advancements and shifting guest preferences. Artificial intelligence (AI) is playing an increasingly important role in this transformation, allowing hotels to provide personalized, efficient, and sustainable experiences that meet the needs of modern travelers. This paper provides an overview of the role and application of AI in the hotel industry, highlighting its benefits and challenges as well as presenting case studies that show how hotels are currently utilizing AI technology. According to the review of literature, AI technology can be used to optimize hotel operations, improve the guest experience, and boost sustainability efforts. However, the use of AI technology in the hotel industry raises concerns about data privacy and security, job displacement, and the need for human supervision to ensure ethical and responsible deployment. Finally, the paper discusses the future directions of AI in the hotel industry, highlighting the emergence of voice technology and augmented reality as potential areas for future innovation. This paper adds to the growing body of literature on the use of AI in the hotel industry and provides useful insights for hotel managers, technology providers, and researchers.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Check-in to the future: Exploring the impact of contemporary information technologies and artificial intelligence on the hotel industry

Štilić¹,

Nicić²,

Puška³

2023

Turističko poslovanje

View full text Add to dashboard Cite

show abstract

“…Some dyes with good bioaccumulation and biomagnification properties might even possess hazardous effects across the entire ecosystem’s food chain, including human health [ 8 ]. Furthermore, dye’s intense colour will alter water’s physical properties even at low concentrations by inhibiting sunlight penetration and disrupting light absorption by photosynthetic plants, thereby leading to severely impaired photosynthetic processes in an aquatic ecosystem [ 9 ]. In addition, the presence of dye in water will indirectly reduce the level of dissolved oxygen as the oxygen supplied by the photosynthetic plants under the water is influenced by the light intensity that can penetrate the water.…”

Section: Introductionmentioning

confidence: 99%

Decolourization of Crystal Violate and Methylene Blue Wastewater Using Anaerobic Fermented Bio-Waste

Leong

Tee

Lim

et al. 2023

Water Conserv Sci Eng

View full text Add to dashboard Cite

Textile exchange is a popular term in the textile industry and has incorporated Sustainable Development Goals (SDGs) into its strategy for transformation. The advance of Industrial Revolution 4.0 digitised the textile industry and incorporated artificial intelligence (AI) into operation and supply chain to enhance production and improve product quality in different downstream processing. Malaysia’s textile industry has largely continued to contribute to the domestic economy. In the textile industry, refinement treatment is crucial to avoid water pollution derived from dye, organic pollutants, and heavy metals. Wastewater derived from textile industries must perform a pre-treat before discarding into the natural environment, as the excess dye in textile wastewater negatively impacts the environment. Untreated or inadequately treated wastewater and discharge to nearby water sources contribute to disease increase. Therefore, this study aims to elucidate microbiota biodiversity that can significantly remove or break down the dye in wastewater from the textile industry. This study selected two cationic dyes, crystal violet (CV), and methylene blue (MB). Through the findings, microbial consortium derived from the fermented bio-waste show no significant difference in the decolourisation of wastewater polluted with CV (< 13.53%). In contrast, the microbial population generated from fermented bio-waste showed remarkable outcomes on MB decolourisation up to 88.52% in 3 days of treatment. In the absence of laccase in fermented bio-waste, microbial consortium produced from the fermented bio-waste is ineffective in decolourising the wastewater containing CV compared to MB.

show abstract