Volume 13 | Issue 10 |

 Abstract

Creativity is one of the most valued abilities in all societies, playing a crucial role in fostering critical and divergent thinking among learners. The Synectics model of teaching is an innovative instructional approach that has significant potential for enhancing students' creativity. It engages learners in various metaphorical activities, which serve as powerful tools to stimulate imaginative thinking and problem-solving. Synectics provides students with opportunities to think beyond conventional boundaries and express their ideas more creatively. Developed by Gordon and his associates, this sophisticated technique has been effectively employed to generate solutions to complex and challenging problems. The present study aimed to examine the efficacy of the Synectics teaching model in fostering descriptive style in the English language among secondary school students. An experimental design was employed, comprising an experimental group and a control group. The findings revealed that the performance of students in the experimental group on the test of descriptive style was significantly higher than that of the control group. These results highlight the efficacy of the Synectics teaching model as a powerful instructional strategy for promoting creativity and improving descriptive writing skills in English among secondary school students.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Synectics Teaching Model, Descriptive Style, English Language, Creativity

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's interconnected digital ecosystem, organizations increasingly rely on third-party vendors and service providers for critical IT and business operations. However, these vendor relationships expose organizations to significant cybersecurity and compliance risks. Existing Third-Party Risk Management (TPRM) tools are often expensive, complex, and lack transparency in their scoring methodologies, making them impractical for small and mid-sized enterprises (SMEs). This research proposes SecureVendor, a lightweight, transparent, and explainable TPRM framework that enables organizations to assess, monitor, and track vendor risks effectively. The proposed system introduces an explainable risk scoring mechanism, vendor remediation tracking, and continuous alerting features to address current gaps. The study uses both secondary (literature) and primary (public survey) research methods to evaluate the challenges and expectations of professionals in the cybersecurity and compliance domains. Findings from the survey validate the hypothesis that SMEs require more accessible, transparent, and action-oriented TPRM solutions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Third-Party Risk Management, Vendor Risk, Cybersecurity, GRC, Compliance, Explainable Scoring, Remediation Tracking

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The arrival of sixth-generation (6G) networks is set to change the Internet of Vehicles (IoV) and Vehicle-to-Everything (V2X) communication. It will provide ultra-low latency, high reliability, and smooth connectivity for future self-driving cars and smart transportation systems. With more artificial intelli- gence (AI), edge computing, and fast communication, IoV will be the foundation of next-generation mobility services. However, the open, dynamic, and diverse nature of vehicle networks makes them very vulnerable to various cyber threats. Attacks such as Sybil, spoofing, denial-of-service (DoS), replay, and data manipulation can undermine trust, disrupt services, and even put passenger safety at risk. Traditional cryptography and security protocols are somewhat effective but often face problems with scalability, high overhead, and limited flexibility in highly mobile and resource-limited settings. Digital Twin (DT) technology has emerged as a promising way to overcome these limitations. It creates smart virtual replicas of vehicles, networks, and environments. These digital counterparts allow real-time monitoring, detect problems, and provide predictive security defense. Recent advancements show the effectiveness of DT-driven security methods. Cyber-Twin- based intrusion detection improves the recognition of anomalies and allows for flexible countermeasures. In the same way, DT- powered data sharing in Open RAN boosts data confidentiality and integrity while cutting down on communication delays. Trust management strategies based on DTs help evaluate vehicle interactions, ensuring reliable decision-making and detection of harmful nodes. Additionally, the combination of federated learn- ing with blockchain technology offers decentralized, privacy- protecting, and tamper-resistant security solutions. This ap- proach helps address issues like data poisoning and reliance on central authorities. Collectively, DT-enabled frameworks improve detection accu- racy, reduce latency, increase scalability, and boost resilience against complex cyberattacks. These advancements show the transformative potential of DTs in securing 6G-enabled vehicular networks. They are essential for creating safe, efficient, and intelligent transportation systems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

6G, Internet of Vehicles (IoV), Vehicle-to- Everything (V2X), Digital Twin (DT), Cybersecurity, Intrusion Detection, Trust Management, Authentication, Vehicle-to-Grid (V2G), Cyber-Twin, Open RAN, Federated Learning, Blockchain, Autonomous Driving, Smart Transportation Systems, Low Latency, Scalability, Resilience.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Metoprolol succinate; Sustained-release matrix tablets; Hydroxypropyl methylcellulose; Guar gum; Factorial design; Response surface methodology

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Natural disasters like floods, earthquakes, and cyclones often cause delays in rescue work because there is not enough real-time information from people in affected areas. Traditional emergency systems find it hard to gather and share accurate data quickly, which slows down rescue efforts and puts more lives at risk. The Crowdsourced Disaster Response & Rescue Assistant helps solve this problem by using a mobile app and a backend system that let people in disaster zones share important information directly.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Helping during disasters, Rescue help, Emergency SOS messages, Network connection between nearby phones, People working together.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The increase in Android devices has made mobile authentication an important security issue. Traditional password systems are falling short against more complex attacks. This review looks at the development of authentication systems for Android mobile devices, focusing on improved methods that go beyond typical password approaches. We examine eight key research contributions from 2010 to 2024. These cover topics like behavioral biometrics, graphical password systems, touch- based authentication, gait recognition, vulnerability detection, and security protection methods. Our findings show a clear shift from static authentication methods to dynamic, multi-modal approaches that use smart- phone sensors and user behavior. We highlight key challenges, such as the trade-off between accuracy and usability, vulnerability to shoulder surfing, and the need for ongoing authentication. We suggest a unified framework to categorize these systems based on their mechanisms while evaluating their strengths and weaknesses. This work offers insights for future research in mobile authentication, stressing the importance of combining different biometric methods with traditional security measures.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Android authentication, behavioral biometrics, mobile security, touch dynamics, graphical passwords, continuous authentication

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mini screw-assisted orthodontics has become a cornerstone of contemporary practice, offering enhanced control over anchorage and more predictable tooth movements. This review explores the biomechanics of Mini screw-assisted orthodontic treatment, with a focus on absolute anchorage and the role of the centre of resistance (CRes). We examine screw placement, force vector mechanics, finite element studies, and clinical considerations that influence treatment outcomes. Understanding these principles is essential for optimizing Mini screw usage and minimizing side effects such as undesired tipping, anchorage loss, or screw failure.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mini-screw anchorage, orthodontic biomechanics, absolute anchorage, centre of resistance, tooth movement control, skeletal anchorage system.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Garbhasanskar literally means "education of the fetus in the womb." It emphasizes the physical, mental, and spiritual development of the unborn child through the mother's thoughts, emotions, and lifestyle during pregnancy. This traditional Indian practice is now gaining scientific recognition for its role in shaping a child's personality, intelligence, and emotional stability. Rooted in Ayurvedic wisdom, this tradition views pregnancy as a sacred journey where the mother's state of mind directly influences fetal development. It encourages expectant mothers to cultivate positivity through meditation, mantra chanting, listening to soothing music, reading inspiring literature, and maintaining emotional stability. Modern science increasingly supports these ancient insights, showing that the fetus responds to external sounds, vibrations, and maternal emotions. Research indicates that positive prenatal experiences contribute to the development of enhanced intelligence, emotional balance, and personality formation in children. Moreover, Garbhasanskar practices help mothers reduce stress, balance hormones, and create a serene inner environment conducive to a healthy pregnancy. By harmonizing ancient philosophy with scientific understanding, Garbhasanskar presents a holistic model of conscious parenting and prenatal education. It not only nurtures the unborn child's overall growth but also empowers mothers to experience pregnancy with awareness, peace, and joy. This timeless wisdom, when integrated into modern healthcare, can foster the birth of healthier, happier, and more balanced future generations.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Garbhasanskar, Pregnancy, Conception, Parenting, Fetal Development

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A comparative study of awareness towards environmental protection among rural and urban students of government and non-government schools of secondary level students

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

A comparative study of awareness towards environmental protection among rural and urban students of government and non-government schools of secondary level students

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Vishtapan Ki Trasdi : Julush Upanayash Ke Sandharbh Me

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vishtapan Ki Trasdi : Julush Upanayash Ke Sandharbh Me

  License

Creative Commons Attribution 4.0 and The Open Definition