Volume 12 | Issue 6 |

 Abstract

With the growing hazards to the environment, "Being Green" is the need of the hour. To save our future generations from the deadly consequences of environmental damage, we need to take corrective steps and do some damage control. Green Marketing is one of the practices which prevents and minimizes the environmental degradation by promoting "Green Products" rather than "Conventional Non-Green Products"."Green Products are typically durable, non-toxic, made of recycled material, or minimally packaged"(Durif, Bolvin & Julien, 2010). The success of green products depends on its popularity among the consumers. This paper assesses the awareness level about Green Products and its consumption by the general consumers in the city of Chennai, India. Structured and undisguised form of questionnaire was prepared which was distributed to 120 respondents out of which 106 were found to be usable. The other variables of the questionnaire like perception and purchase intention are measured in other papers. Different hypotheses were formed based on literature review and statistical tools like frequency distribution, chi-square analysis, independent t test and correlation analysis were done to test the hypotheses. The study is useful to researchers, academicians, organizations and companies who are trying to get the insight of the awareness level and consumption of green products in Chennai. Geographical constraint is the limitation of the study which gives way to further research by applying the methodology used in this paper on country specific research awareness.

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 Keywords

Green products, green marketing, eco-friendly products, eco-friendly marketing etc.

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Quality of education is directly proportional to a country's level of development and economic success. From the revered Gurukul system of the Vedic era to modern times, education in India has seen continuous evolution and growth. For as long as anybody can remember, Indian thinkers have stressed the need of helping each person reach his or her full potential. Beyond the four walls of a traditional school, the proliferation of modern communication and information technologies has opened up vast new vistas for human progress. In addition to enabling economic growth and higher productivity, information technology has given people the tools they need to become involved in many facets of society. It is critical that aspiring educators have extensive training and experience with ICT as technology is playing an increasingly important role in educational reform. The research highlights the significance of teachers' knowledge of techno-pedagogical topics and the incorporation of information and communication technology into the education of future educators and instructors

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 Keywords

Technology, Integration, ICT, Techno- pedagogic- content and Pre-service teachers.

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The review article emphasizes on critical issue of road safety, highlighting the importance of truck escape ramps in preventing accidents involving heavy vehicles. Samruddhi Mahamarg in Maharashtra, India, a key expressway plagued by accidents due to high speeds, brake failures, and adverse weather conditions, the study proposes the implementation of truck escape ramps to mitigate risks basically on this mahamarg. Truck escape ramps, strategically positioned along the highway like Samruddhi Mahamarg, offer emergency stopping areas for out-of-control trucks, potentially saving lives and minimizing injuries. By considering factors like length, gradient, and materials, these ramps aim to effectively slow down and halt heavy vehicles facing emergencies, aligning with broader efforts to enhance road safety infrastructure and reduce accidents. Many developed countries like America, China, Canada, and many more have already implemented this advanced technology of EERs. A survey of all these roads has given a successful margin after applying this technique in preventing accidents on highways. In simple words, this advancement has been implemented globally.

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 Keywords

Truck escape ramp, Samruddhi Mahamarg, Emergency Escape Ramp, Accident, Out-of-control Vehicle.

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Nano capsules are subjected to a variety of characterization and evaluation procedures. To achieve controlled release and efficient drug targeting, dispersed polymer nanocapsules can be employed as nano-sized drug carriers. Drug-loaded polymeric nanocapsules have been shown to have potential applications in drug delivery systems To develop current nano-particulate drug delivery methods, enormous research efforts have been made. Newly discovered therapeutic compounds with a modest biopharmaceutical profile, on the other g (NC), have the potential to provide therapeutic benefits in the field of drug delivery. The perpose of this review is in future the nanotechnology can creat many wonders in medical field. Nanotechnology is wonderfull technology that can used in diagnosis and treatment in medical field. This review was aimed to knowing the preparation, new aspects, and the applications of the nanocapsules.

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Nanocapsules, Polymerization, Nanoprecipitation, Coacervation, Self-Healing Materials.

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In this paper, we propose a novel approach for anomaly detection in surveillance videos using YOLOv5, a state-of-the-art object detection model, integrated with deep learning methodologies. The YOLOv5 model is trained on a diverse dataset of normal activities to learn representative features and patterns. Subsequently, anomalies are identified by detecting deviations from the learned normal behaviour present experimental results on benchmark datasets, demonstrating the effectiveness and robustness of our proposed method in detecting various anomalies, including intrusions, unusual movements, and abandoned objects. Comparative analysis with existing techniques highlights the superior performance and efficiency of our approach. we discuss practical applications and deployment scenarios of our proposed anomaly detection system, emphasizing its potential contributions to enhancing surveillance capabilities in real-world environments. Finally, we conclude with insights into future research directions aimed at further improving the accuracy, scalability, and adaptability of anomaly detection systems in surveillance videos.

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YOLOV5,OBJECT DETECTION

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Creative Commons Attribution 4.0 and The Open Definition

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Maul-Jubn (Whey), milk water a by-product of the dairy industry was in use since thousands of years as nutraceutical (nutritional pharmaceutical) in the traditional(Unani) system of medicine. For several years it was thought to be insignificant and was either used as an animal feed or it was discarded off as waste material. But Over the last few years several studies were carried out concerning the importance of nutritional value of whey and the properties of its compositions. It is now accepted and proved that its main content, whey proteins, have antimicrobial, antiviral and anti-oxidant properties, can offer a kind of protection against various diseases and assist at the enhancement of defence mechanism of the human body. In Unani medicine the importance of Maul-Jubn in the prevention and treatment was well known to Unani physicians since ancient time, and abundant literature regarding its usage and classical method of preparation have been discussed. The present study attempted to discuss the importance of usage and its preparation of Maul-Jubn in the light of Unani medicine with addition of some recent scientific reports.

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Maul-Jubn, classical ;unani , whey.

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Creative Commons Attribution 4.0 and The Open Definition

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Consider a world in which every physical thing has a virtual doppelganger that learns and evolves alongside its real-world counterpart. This is the power of digital twins: dynamic digital models that mimic physical items, processes, or even entire systems. Sensors placed in the physical object send real-time data to the digital twin, resulting in a continuously updated virtual reflection. This data enables analysis, simulations, and forecasts, revealing a variety of benefits. There are various varieties of digital twins based on the level of product magnification. The core distinction between these twins is their field of application. It is typical to have multiple sorts of digital twins coexisting within a system or process. This study delves deeply into DTs, including their definition, benefits, and drawbacks. It also addresses the existing uses of DTs in many industries such as power-generation equipment, structures and their systems, healthcare services, manufacturing operations, automobile industry, urban planning, and so on, as well as their future potential. The current issues with digital twins include data management, data security, legacy system transition, the issues of connectivity, privacy, and sensitive data protection, as well as the lack of a universal modelling technique.

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 Keywords

Digital Twin, Virtual Twin, Cyber Twin, Digital Shadow, Digital Thread

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In the context of cloud storage, data deduplication is a pivotal technique aimed at reducing storage space by eliminating redundant data. The research paper titled "Efficient Method of Secure Authorized Data Deduplication at Small Block Level Approach in Cloud Storage" presents a novel methodology that enhances both the efficiency and security of deduplication processes. This approach operates at the small block level, ensuring fine-grained deduplication, which significantly improves storage optimization. To address security concerns, the proposed method integrates robust encryption mechanisms and an authorization framework that guarantees only legitimate users can access and deduplicate data. This dual focus on efficiency and security not only minimizes storage costs but also protects sensitive information from unauthorized access. The experimental results demonstrate the method's effectiveness in achieving substantial storage savings while maintaining high levels of data security and access control, making it a viable solution for secure cloud storage systems.

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Deduplication, Small Block Level, Cloud storage, robust encryption

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Creative Commons Attribution 4.0 and The Open Definition

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Electricity theft can be as extortion (meter altering), taking (unlawful associations), charging inconsistencies, and neglected bills. Evaluations of the degree of electricity theft in an example of 102 nations for 1980 and 2000 are embraced. The proof shows that theft is expanding in many areas of the world. The monetary effects of theft are diminished pay from the offer of electricity and the need to charge more to purchasers. Electricity theft is firmly connected with administration markers, with more elevated levels of theft in nations without successful responsibility, political unsteadiness, low government viability and elevated degrees of debasement. Electricity theft can be decreased by applying specialized arrangements, for example, sealed meters, administrative strategies like review and observing, and now and again rebuilding power frameworks possession and guideline. In combination with the engineered minority oversampling method (Destroyed) calculation, a bunch of virtual strange perceptions were produced as the execution for preparing the TSRNN model. The power utilization record was portrayed with the sharp information (ARP), the pinnacle information (PEA), and the shoulder information (SHO). In the TSRNN design structure, an essential organization unit was shaped with three info hubs connected to one secret neuron for extricating information highlights from the three trademark factors. For time-series examination, the TSRNN structure was re-framed by coursing the essential unit. Each secret hub was planned getting information from both the ongoing information neurons and the time-previous neuron, in this way to shape a mix of organization connecting loads for versatile tuning. The issue of customary or shrewd energy meters control focusing to impact the power framework activity and dependability is known as the energy theft (ENT) issue. This issue has happened to significant significance in numerous nations from one side of the planet to the other. The energy theft is occurring for the most part in transmission and dissemination level. To diminish the effect of energy theft, there are numerous strategies that have been proposed in the writing. This paper presents a best in class review for the energy theft issue arrangement.

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 Keywords

Power Theft, Energy theft, Power Systems, IOT, Distribution, Electrical Theft.

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Creative Commons Attribution 4.0 and The Open Definition

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Machine learning is an artificial intelligence technology that educates systems to identify patterns from data and generate inferences or decisions without explicit programming. This approach is similar to teaching machines how to learn and think autonomously. Traditional English education emphasizes on writing and grammar instead of vocal language learning. As a result, while many Chinese students perform well on written exams, few can speak English successfully in everyday situations. With the increase in around the world relations, the importance placed on language as an instrument of communication has underlined the value of spoken language training. To help students practice their pronunciation outside of school, an English pronunciation detection tool is presented. Only proper pronunciation can help users convey their ideas clearly. As a result, the primary outcome of oral language learning is the development of pronunciation.

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Pronunciation Detection, Speech Recognition, Language Instruction, Communication Skills, Artificial Intelligence.

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Creative Commons Attribution 4.0 and The Open Definition