RNB Global University (RNBGU) is a private university located at Bikaner, Rajasthan, India. The university was established by the Ram Bajaj Foundation Society through the RNB Global University, Bikaner Act, 2015. The University is spread on a 300-acre campus and offers courses in various disciplines.
The antibacterial properties of a few chosen Indian medicinal plants were evaluated on bacterial strains, including Staphylococcus aureus, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Bacillus subtilis and Enterococcus faecalis. Hexane, chloroform, ethyl acetate, methanol, acetone, and ethanol were the solvents utilised to extract plants. The screening tests were performed in triplicate, and the mean ± standard deviation (SD) was used to statistically express the data (diameters of zones of inhibition in mm). Maximum antibacterial activity against Bacillus subtilis was demonstrated by the medicinal plants Piper longum (dissolved in solvent methanol) (16.3 ± 1.15) and Zingiber officinale (dissolved in solvent chloroform) (11.3 ± 0.58). Maximum antibacterial activity against Bacillus subtilis was demonstrated by the medicinal plants Crocus sativus (dissolved in solvent Chloroform), Azadirachta indica (dissolved in solvent Chloroform), Moringa oleifera (dissolved in solvent Ethyl acetate) (17.7 ± 0.9), and Withania somnifera (dissolved in solvent Methanol) (17.9 ± 1.15). This investigation find out how essential it is to take into account both the specific medicinal plant and the preferred solvent when using antibacterial properties. These results provide perceptive information about the making of natural antibacterial agents that may find use in the pharmaceutical and healthcare sectors.
The woollen yarn industry of Bikaner serves as a vital component of the Rajasthan textile sector because it generates jobs and drives industrial growth and supports export activities and preserves traditional craftsmanship. The industry developed from its beginnings as a small traditional operation into an organized production enterprise which serves both local and global markets. The industry faces challenges to its ability to operate sustainably and maintain its competitive edge because of increasing market competition and environmental issues and higher production expenses and technological advancements and alterations in consumer behavior. The study evaluates sustainability and economic performance of Bikaners woollen yarn industry through its assessment of economic environmental social and technological elements that impact the industrial operation. The study objectives include identifying critical factors that determine industrial sustainability while assessing the competitive strength of woollen yarn businesses within the region. The research uses primary data sources together with secondary data sources. The researchers gathered primary data through structured questionnaires and interviews which they conducted with industrial owners and workers and traders and local stakeholders from the woollen yarn industry. Government reports and industrial publications and textile journals and trade statistics and previous academic studies served as the sources from which the researchers obtained secondary data. The study uses descriptive and comparative analytical methods to analyze the data which has been collected for research purposes. The researchers applied statistical methods including percentage analysis and mean score analysis and ranking methods and tabular interpretation to present their results in a clear format which enables them to draw important conclusions. The study shows that Bikaner’s woollen yarn industry maintains strong competitive advantages because of its traditional expertise and raw wool availability and low labor costs and regional specialization and established market connections. The industry confronts major sustainability problems because it uses outdated machinery and lacks effective waste disposal systems and creates environmental contamination and experiences power outages and suffers from insufficient funding and faces rising threats from synthetic yarn manufacturers. The research shows that industries which implement modern equipment together with environmentally sustainable methods and quality assurance processes achieve superior productivity results while being more competitive in the marketplace than traditional businesses. The study demonstrates that companies which implement environmental sustainability practices through recycling and water conservation and controlled chemical usage see improved industrial reputation and better efficiency in their operations. The research shows that sustainable industrial development serves as the foundation which will help Bikaner’s woollen yarn industry grow in the future. To keep industrial strength in dynamic market environments, businesses need to establish policy frameworks and adopt advanced technology and implement environmental protection programs and develop workforce skills and build necessary facilities. The research results provide insights into how industries in specific regions achieve sustainable development while delivering practical guidance for policymakers and business owners and researchers who study sustainable textile manufacturing in India.
Advancements in wireless networks are crucial for the transformative potential of Industry 5.0, particularly in smart manufacturing and industrial automation. However, this new era demands solutions for persistent challenges, such as limited communication range, real-time data processing, and privacy concerns. Bio-inspired algorithms provide a novel approach to addressing these challenges, leveraging patterns observed in nature to enhance optimization and efficiency in wireless communication systems. This paper proposes an experimental framework using bio-inspired techniques to address specific industrial wireless communication needs, with a focus on edge intelligence, ultra-reliable low-latency communication, and energy efficiency. By emulating message protocols found in social animals, bio-inspired algorithms can optimize aspects like dynamic channel allocation and energy-saving topologies. The framework facilitates real-world testing in small to medium-sized industrial network settings, enabling an enhanced understanding of Industry 5.0 scenarios. Case studies demonstrate the effectiveness of bio-inspired solutions in optimizing network topology and energy consumption across smart factory networks, achieving notable results in scenarios requiring efficient data handling and reliable connectivity. This research highlights the importance of interdisciplinary approaches in supporting Industry 5.0 goals, demonstrating bio-inspired algorithms as promising tools for scalable, adaptive, and human-centered industrial wireless systems. The findings point towards sustainable advancements in wireless technology, fostering a deeper integration of nature-inspired solutions within next-generation industrial communication networks.
Two-year field experiment conducted during 2020-2021 and 2021-2022 to assess the impact of natural and organic farming techniques on the productivity and profitability of the maize-wheat-based cropping system indicated that adoption of organic farming techniques led to a significantly higher maize equivalent yield of the system. There was an increment in the system equivalent yield of T4 (Maize + soybean-wheat + lentil and jeevamrit spray at 14 days interval) by 118.96, 131.84, 143.66 and 126.94 per cent in the 1st year and 112.43, 137.98, 157.66 and 114.42 per cent in the 2nd year of experimentation over sole treatments. Organic farming practices also proved better in terms of various economic indicators, including gross returns, net returns, benefit-cost ratio and the profitability of the system.
Several million hectares of economically cultivated transgenic crops are currently available. There have been field trials of transgenics from at least 200 species, oil plants (including both annual and perennial) belonging to different plant families. Crops that produce oil seeds are crucial to the agricultural economy. They have a significant role in industrial uses and the human diet, but they are also becoming more significant as a fossil fuel replacement for supplying energy. A number of significant developments in genetic engineering and the identification of gene targets for increasing seed oil content in oilseed crops have occurred during the past 20 years. These developments will help the successful development of new generation high yielding oil crops. A significant portion of the most recent data comes from the examination of patent databases, an excellent source of data on commercial priorities. The timeline for the introduction of these transgenes into breeding populations and their eventual release as novel varieties is also covered in the review.
