Volume 13 | Issue 1 |

 Abstract

In recent times we see every other individual working hard to make a living. Some are entrepreneurs, others working in the public sector and some in the private sector. But what matters is not just the earning and living one is making through these jobs but also the satisfaction they receive from the jobs. Job satisfaction plays a very important role for a better life and well-being of an individual.This paper aims to find out the difference in job satisfaction and psychological wellbeing between male and female in the private sector of Jabalpur city. Two standardized questionnaires, i.e, Job Satisfaction Scale by Paul Spector and Psychological well-being Scale (short version)by Carol Ryff were taken to carry out the research.The sample included 170 Male and Female on the basis of random selection, their income range was from 15,000 to 35,000/- per month. Result reveals that although there's a difference between job satisfaction of both male and females, it affects the psychological well being of both genders equally which can be due to several underlying factors which is a matter of probe for further investigations.

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 Keywords

Job satisfaction, Psychological well-being

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Forensic odontology plays a vital role in criminal investigations, disaster victim identification, and human rights abuse cases. Recent advances in forensic odontology have enhanced its capabilities in identification, analysis, and investigation. This review highlights the newer advances in forensic odontology, including DNA analysis, digital radiography, facial reconstruction, saliva analysis, and dental record management. The role of forensic odontology in crime scene investigation, mass disasters, and human identification is also discussed. The review emphasizes the importance of standardized procedures, accurate dental record-keeping, and collaboration between forensic odontologists and law enforcement agencies. The integration of newer technologies and techniques has improved the accuracy and efficiency of forensic odontology, making it a crucial tool in modern forensic science. Furthermore, the review explores the application of emerging technologies, such as 3D printing and artificial intelligence, in forensic odontology. The importance of maintaining accurate and comprehensive dental records, adhering to standardized procedures, and staying updated on the latest techniques and technologies is also stressed. Overall, this review aims to provide a comprehensive overview of the newer advances in forensic odontology and their implications for the field.

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 Keywords

Forensic Odontology , Dental Identification , DNA Analysis , Digital Radiography , Facial Reconstruction , Artificial Intelligence.

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 Abstract

Glaucoma is a group of eye conditions that damage the optic nerve. The optic nerve sends visual information from eye to brain and is vital for good vision.As this nerve gradually deteriorates, blind spots develop in vision and the nerve damage is usually related to increased pressure in the eye. Elevated eye pressure happens as the result of a buildup of fluid that flows throughout the inside of the eye. This fluid is also known as the aqueous humor. It usually drains through a tissue located at the angle where the iris and cornea meet. This tissue also is called the trabecular meshwork. The cornea is important to vision because it lets light into the eye. When the eye makes too much fluid or the drainage system doesn't work properly, eye pressure may increase. Self-Attention Generative Adversarial Networks (SAGAN) is used in Glaucoma Detection that involves the capabilities of self-attention mechanisms to enhance feature extraction in medical imaging.

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 Keywords

Keywords-- SAGAN, Glaucoma.

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 Abstract

customer gets quiries get clarified by the chatbot by machine learning

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

machine learning , chatbot

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 Abstract

Vidhyarthiyo Ke Samayajan, Mansik Sawath ev Jivan Mulyo Me Paraspar Sambhand Ka Adhyayan

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Vidhyarthiyo Ke Samayajan, Mansik Sawath ev Jivan Mulyo Me Paraspar Sambhand Ka Adhyayan

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By the seventeenth century usage, the region Coromandel embraced the coastlines of the modern states of Tamil Nadu, Andhra Pradesh and the southern tip of Orissa. During the 17th century at Coromandel the activities of the Europeans helped Indian merchants in expanding the trading relations of India with the West and other parts of the world. But, it was the community of the merchants which played a very significant role in monitoring the nature of commodities and other essential goods in the markets. With the growth of European port-settlements, we find a fundamental shift in the relations between merchants and political power and between merchants of the coast and their hinterland. Earlier the merchants operated freely in both segments. This was hampered due to several political, administrative and economic factors. The merchants became intermediaries for the companies with local powers.

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 Keywords

Coromandel, Merchant Communities, Ports, Martime trade, textile trade, south-east Asian nations,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract The thing about performance, even if it's only an illusion, is that it is a celebration of the fact that we do contain within ourselves infinite possibilities. ~ Sydney Smith The teacher education program aims at developing wisdom, knowledge, skills and attributes of pre-service teachers for preparing them to teach effectively in the school systems. Therefore, the academic program of the teacher education should be engaged with integral component of school based experiences i.e. practice teaching which provides student-teachers with supervised experiences and help the student- teachers to understand the full scope of role of teacher.. These experiences are very powerful in shaping pre-service teachers in their future teaching. After receiving the experiences in practice teaching, before entering into the real world of teaching. The student-teachers have to pass through the exit performance called as their annual lessons. In this exit performance their learnt experiences reflects and are supervised and examined too. As kaleidoscope operates on the principle of multiple reflection, With this context in this research paper the Exit Performance of student- teachers of their practice teaching in annual lessons is evaluated by various criterion with the analogy of mirrors reflected in kaleidoscope. The classroom practice as their external behavior along with their cognitive and affective understanding of pedagogy is evaluated by using evaluation rubric developed by the researcher. It analyses what ought to be and what is as their performance. The dimensions of Classroom practice before and in the classroom are supervised and are discussed with expected and performed behavior. The conclusion and discussion challenges to rethink about the student-teachers' understanding and performance at their Exit at pre-service level .

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 Keywords

Pre-service teaching, Exit Performance, Evaluation, Practice teaching,

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 Abstract

Urban congestion presents one of the biggest problems to the emergency response system, especially in areas where hospitals are accessed by ambulances through complex routes, where congestion can delay reaching the hospital. Conventional strategies for traffic signal preemption and optimal routes use genetic algorithms and A* search, which are static methods and therefore not amenable to real-time traffic changes. This report explores an advanced approach to addressing congestion in ambulance traffic that uses machine learning. The approach makes a continuous consideration of optimizing route selection and signal timings dynamically. It integrates real-time data from IoT sensors, GPS, and vehicle-to-infrastructure (V2I) communication, enabling proactive decisions based on predictive models of traffic patterns, thereby adjusting the route and signal timings. The system utilizes machine learning models, reinforcement learning, and predictive analytics to continuously improve traffic management and reduce delays while optimizing emergency response times. This approach works through real-time adaptive control to optimize ambulance passage and the overall traffic flow that leads to quicker arrival times, reduces congestion, and promotes public safety. This paper focuses on how machine learning could help morph the urban traffic management systems and comes up with a scalable and efficient solution to the perennial urban problem, which paves the way for smarter, data-driven solutions in emergency services and urban mobility.

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 Keywords

Urban congestion, Emergency response system, Ambulance traffic, Complex routes, Traffic signal preemption, Optimal routes ,Genetic algorithms, A* search, Real-time traffic changes, Machine learning ,IoT sensors ,GPS ,Vehicle-to-Infrastructure (V2I), Predictive models ,Traffic patterns, Reinforcement learning ,Predictive analytics ,Adaptive control ,Traffic management ,Emergency response times ,Public safety ,Urban traffic management systems, Scalable solutions, Data-driven solutions, Urban mobil

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The entry into the market of drone deliveries has challenged the logistics sector in a new and unprecedented way, offering at the top level the most possible efficiency, accessibility and sustainability of the movement of goods. This paper explores the evolution of drones from their origins in military and civilian applications to their integration into last-mile delivery services, healthcare, and rural logistics. Through analysis of current usage, the breakthrough development of drone technology, and synergy of drones combined with application of AI, IoT, and 5G networks, the study demonstrates the revolutionary function and reinvention of drones within the structure of global logistics. Although they are promising, drone delivery systems are confronted with several challenges, such as the highly regulated air traffic management, privacy issues, and technical constraints, including battery life and weather dependence. This study evaluates these hurdles alongside the environmental and economic implications, underscoring drones' capacity to reduce carbon footprints while presenting new economic opportunities. The examples, for instance, of Wing (DHL Parcelcopter) are some examples of best practice and what to take away, and demonstrate the case for scalable solutions. The controversy also inquiries into ethical principles and social/moral guidelines in respect to the ramifications of autonomous actions and ensures that they have fair, equitably equitable access to drone-based delivery services. Future wise, the paper suggests the new technologies and trends which will change the horizon of logistics. It ends with a list of recommendations for stakeholders in order to realize the dream of drone delivery despite the challenges of societal, legal, and technical issues. Based on the findings, attempts are made to guide policymakers, businesses and researchers toward a sustainable equitable future of this disruptive technology.

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 Keywords

Drone Delivery, Logistics Innovation, Autonomous Aerial Vehicles, Sustainable Transportation

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Creative Commons Attribution 4.0 and The Open Definition

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Viral infections of the oral cavity typically present as ulcerations or blisters, posing diagnostic challenges in dental practice. Herpesviruses, herpes simplex virus, and other viral agents are responsible for primary oral lesions. Additionally, viruses such as HIV, varicella, and cytomegalovirus can affect the oral cavity due to immune system weakness. Notably, COVID-19 patients have also been reported to exhibit oral manifestations. This review aims to provide a comprehensive overview of viral infections affecting the oral cavity, highlighting their clinical presentation, diagnosis, and management

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

viral infection , oral disease, ulcers, herpes

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Creative Commons Attribution 4.0 and The Open Definition