Volume 12 | Issue 8 |

 Abstract

Wanderlust introduces a web-based travel planning guide system designed to offer personalized and interactive travel experiences. Leveraging modern web technologies, the platform provides users with tailored recommendations for destinations, attractions, accommodations, and activities based on individual preference. Through an intuitive interface and zestful features, travelers can efficiently plan their trips, access expert insights, and discover unique local experiences. Wanderlust is created using various web development technologies such as HTML, CSS, JavaScript, MySQL etc. It aims to revolutionize the way people explore destinations by offering a seamless and user-centric solution that enhances the overall travel experience by also providing cross-platforming and plan their trips according to their personal budgeting. The user-centric approach ensures a hassle-free experience, allowing you to explore destinations without breaking the bank. Say goodbye to budgeting woes and hello to unforgettable trips with our intuitive and budget-friendly travel planning guide System.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Web-based travel planning guide system, Personalized travel experiences, Accommodation and activity suggestions, User-centric travel platform, Expert insights and local discoveries, Seamless trip planning, Cross-platform accessibility, Intuitive interface.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The New Education Policy (NEP) 2020 in India advocates for the integration of digital technologies into the educational landscape, with e-books emerging as a pivotal component in this transition. This study investigates the adoption of e-books among secondary education students in the context of NEP 2020, aiming to understand students' perceptions, the impact of e-books on their learning experiences, and the challenges encountered. Utilizing a mixed-methods approach, the research involved a structured questionnaire and semi-structured interviews with 30 students. The findings reveal a high level of familiarity with NEP 2020 among students and unanimous agreement on the improved availability and accessibility of e-books compared to traditional textbooks. Most students report encountering technical issues rarely and express satisfaction with e-book design and navigation. However, there is a notable demand for additional training and resources to optimize e-book use. While e-books generally maintain or enhance motivation for learning, the impact varies among students. The study highlights the alignment of e-books with NEP 2020's goals but also identifies areas for improvement, including technical support, design enhancements, and further training. These insights are crucial for policymakers and educators aiming to effectively implement NEP 2020 and enhance educational outcomes through digital tools.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Educational Technology, New Education Policy (NEP) 2020, Technology Integration, Learning Motivation, Professional Development, Digital Learning, E-books.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A woman teacher, being a working woman, has to perform a number of duties and responsibilities related to her specific roles in addition to her usual jobs. Traditionally, men were the breadwinners in the household, and women were caretakers. The present study was carried out on TGTs women teachers of senior secondary, private and government schools in Bilaspur. In order to achieve the objective of the present study, only one district, Bilaspur, was selected out of twelve districts by random sampling. Schools were selected by convenient sampling. A sample of 100 women teachers working as TGTs in government and private schools was purposefully taken for the present study. The investigator used a self constructed research tool to measure the role conflict among female teachers. The t-test was used to analyse the collected data. The major findings of the study showed that a significant difference was found in domestic and work role conflict, while no significant difference was found in social role conflict among female teachers working in private and government schools.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Role Conflict, Domestic Role Conflict, Social Role Conflict, Work Role Conflict, Female Teachers

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India has long had a commitment to combating climate change; it did not come about as a result of the UNFCCC or the Paris Agreement. In its 2014 Emission Gap Report, the United Nations Environment Programme (UNEP) identified India as one of the nations that is making excellent progress toward fulfilling its voluntary commitments to reduce climate change. Three percent of the total emissions between 1750 and the present are attributable to India. India is responsible for almost 13% of the total emissions. India was hesitant to accede to the Agreement's stipulation in 2015 that all nations establish national targets because of this. As of right now, India is the only significant economy whose NDC has been assessed at 2 degrees Celsius. In order to ascertain the impact of climate change on macroeconomic indicators over the study period, this study examines the dynamics of climate change based on greenhouse gas emissions. The country's changing climate is reflected in the temperature. As a result, the research uses the climate change model and makes calculations based on it. An analysis of the economic growth performance and climate changes from 2011-2012 to 2021-2022 was conducted using a multiple regression model. The model attempts to investigate the relationship between macroeconomic indicators and GHG emissions, temperature and GHG emissions, and indicators of climate change.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Climate Change - Paris Agreement - Temperature Rise

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The integration of Artificial Intelligence (AI) and Block chain technology is revolutionizing the banking sector, significantly enhancing service quality and operational efficiency. AI, with its advanced data analytics and machine learning capabilities, enables banks to offer personalized customer experiences, streamline processes, and improve decision-making accuracy. Applications such as AI-driven chatbots, fraud detection systems, and predictive analytics are transforming customer interactions, reducing operational costs, and mitigating risks. Concurrently, Blockchain technology provides a secure, transparent, and immutable ledger system that enhances transaction security, reduces fraud, and ensures data integrity. The synergy of AI and Blockchain fosters an environment where financial institutions can deliver more reliable, efficient, and customer-centric services. This paper explores the roles of AI and Blockchain in improving service quality within the banking sector, analyzing their impact on operational processes, customer satisfaction, and the future of banking services.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Block Chain, Service Quality

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT The prospect of cyber terrorism is increasing in the present day due to increased utilization of internet services by terrorist groups that utilize the platforms to plan, publicize and even fund their activities. As can be deduced from this study, there are several features of cyber terrorism and how it works with emphasis on the ways to track down cyber terrorist organisations, rise of cyber currencies as sources of funding, and the techniques where different kinds of cyber technologies are used to undertake acts of terror or other related cybercrimes. As for the terrorists' objectives, they establish connections, propagandise, and organise on the internet, in the dark web, via encrypted messengers and social media. The means employed by these groups include encryption and decentralised communication, they make it challenging to observe and disrupt their activities. There has been a further erosion of traditional financial intelligence systems thanks to cyber terrorists who deal in Monero, Bitcoin and other decentralised currencies. These virtual currencies facilitate cross border transfer of money, anonymous transactions and financial regulation management hence making it possible to sponsor a terror activity without being detected. This work also discusses ransomware, malware, distributed denial of service (DDoS) attacks, and targeted strikes on critical infrastructure as types of cyberterrorism. These technologies allow terrorists to terrorize the society and without physically confronting each other they can paralyze essential services and steal information. Even more, this report highlights the imperative call for enhanced cooperation between nations, stiffer legal measures, and development of new generation security technologies in the battle against cyber terrorism threat. Hence, combating cyber-terrorism is difficult because of its global and transnational nature, thus requiring cooperation and coordination among nations in the monitoring of terrorist activities on cyberspace while at the same time minimizing on the risks associated with terrorism financing through cryptocurrencies. In this work, the challenges and novelties of combating cyberterrorism in the context of a digital war are discussed in detail.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Cyber terrorism, cryptocurrency, cyber-attacks, ransomware, malware, cybersecurity.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Assertive communication encourages and empowers to maintain healthy boundaries within the professional relationships. Descriptive research designs with quantitative approach were used to assess the effectiveness of planned teaching programme on level of knowledge regarding assertive communication among nursing students of selected nursing college in Udupi. The objectives of the study were to assess the existing knowledge of adolescent students, to assess the effectiveness of planned teaching program and to identify the association between knowledge scores on assertive communication with selected demographic variables. 60 B.Sc. nursing students were selected by probability simple random sampling technique. The data collected through Structured knowledge questionnaire and analysed by using descriptive and inferential statistics. The result of the study reveals that majority 63.3% samples had moderate knowledge level, 36.7% samples had poor knowledge, and none of the samples shows good or excellent knowledge on assertive communication in pre-test. The mean pre-test knowledge score is 10.17 with standard deviation of 2.25 and post-test knowledge mean was 23 with standard deviation of 3.95. The mean different between a post-test and pre-test score was highly significant with computed value 35.02 (p <0.05). The chi square values show that, except for religion (p=0.047) none of the other variable; age, gender, religion, type of family, previous knowledge and source of information shows any significant association with pre-test knowledge at 0.05 level of significance. This study concludes that the planned teaching programme on assertive communication for B.Sc. nursing students was highly effective. The demographic variables of students are not significantly associated with the assertive communication.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Effectiveness, planned teaching programme, knowledge, assertive communication, assertiveness, nursing students.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

prarambhik vidhyalyo me sattat girta namankan sttar : karan avm prbhavo ka ak vishleshnatmak adhyayan

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Creative Commons Attribution 4.0 and The Open Definition

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prarambhik vidhyalyo me sattat girta namankan sattar : karan avm prbhavo ka ak vishleshnatmak adhyayan

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As security is the most important aspect of day to day life, this paper presents a secured data transmission technology by using a half-duplex HC-12 transceiver module. This technology was used to generate and transmit text message. The advantage of this proposed technology is its long distance communication range. Also, unlike the mobile network which requires "pay as you go", this technology can be used for personal communication system in which information can be sent without any cost. More so, the message (data) is secured as it is encrypted at the transmitter side. In order to decrypt the message at the receiving side, standard algorithm such as Advanced Encryption Standard (AES) was employed. AES is a symmetric algorithm that requires only one encryption and decryption key. The implemented technology is a two-way communication system in which the user can transmit and also receive text information. Based on the result obtained, it was observed that the text message (data) was transmitted securely within a short time. By comparing the transmitting and receiving time for 8-bit and 16-bit messages for different distances, the proposed AES algorithm took 2 seconds to transmit 8-bit and 16-bit messages for 100m and 200m distances while 5 seconds was taken to transmit 16-bit messages over a distance of 400m.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

HC-12 transceiver module, Wireless communication module, communication, AES, symmetric algorithm, encryption and decryption key, 8-bit and 16-bit, message.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

According to some, artificial intelligence (AI) and Machine Learning has the potential to revolutionize the healthcare industry by fostering increased productivity and novel approaches to the provision of healthcare services. Recently, corporations, the government, and the private sector in general, and the health industry in particular, have made a significant shift towards machine learning. Dentistry demands cutting-edge techniques that benefit both the client and the provider of the service in order to receive the best and most appropriate medical care. Through early diagnosis and case prediction of dental implant cases, artificial intelligence has the potential to advance the field of dentistry. In order to forecast when a patient would require dental implants, this research creates a collection of four machine learning algorithms. The Bayesian network, random forest, AdaBoost algorithm, and enhanced AdaBoost algorithm are among these models. Analysis of the results shows that the machine learning system is performing well

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dental Implants, Machine Learning, Dentistry, Machine Learning in Dental

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Creative Commons Attribution 4.0 and The Open Definition