Volume 13 | Issue 8 |

 Abstract

Complex odontomas arising in the posterior maxilla are uncommon, and extension into the maxillary sinus can mimic chronic sinus disease. Early recognition and appropriate surgical management are crucial to prevent recurrent sinus pathology and facial discomfort. A 14-year-old male presented with a chief complaint of proclined maxillary anterior teeth. Radiographic evaluation using orthopantomograph, lateral cephalogram, and cone-beam computed tomography revealed a large, well-defined radiopaque mass with a thin radiolucent rim in the right posterior maxilla, extending into the maxillary sinus and associated with an impacted second molar. The provisional diagnosis of a complex odontoma was made. Under general anaesthesia, surgical excision of the lesion was performed using a piecemeal approach due to its size and relation to adjacent structures, followed by removal of the impacted tooth. A minor discontinuity in the sinus lining was repaired with a collagen membrane. Postoperative healing was uneventful, and histopathological analysis confirmed the diagnosis of complex odontoma. The patient was subsequently rehabilitated to restore masticatory function and maintain occlusal stability. This case emphasizes the significance of timely diagnosis, meticulous surgical intervention, and interdisciplinary management in treating large odontomas involving the maxillary sinus.

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 Keywords

Complex odontoma1, Maxillary sinus2, Impacted tooth3, Surgical excision4, piecemeal approach5

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Exact similarity solution for the viscous flow due to stretching surface in the presence of magnetic field is derived. Adopting the similarity transformation, governing nonlinear partial differential equations of the problem are transformed to nonlinear ordinary differential equations. Then the numerical solution of the problem is derived using Quasilinearization of Newton's method. Two cases of heat transfer are considered. The sheet (a) with prescribed surface temperature and (b) the prescribed wall heat flux .both the cases are further extended to study the heat transfer due to suction and injection. A simple relation for the two cases of heat transfer is obtained.

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 Keywords

Magnetic field, Heat source, Heat absorption, Heat flux, Quasilinearization of Newton's method.

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ABSTRACT Shear walls are key elements in tall buildings for resisting earthquake loads, with lateral beams often connecting them to enhance ductility. Earthquake-induced dynamic loads are a major cause of building damage, making it essential to understand a structure's dynamic characteristics. Asymmetric tall buildings, combining frames, shear walls, and cores, often face torsional effects from lateral forces such as wind, seismic action, and uneven settlement. This study uses the Response Spectrum Method in ETABS to analyse a vertically unsymmetrical structure with varying shear wall locations. The objective is to reduce torsion through four concentric shear wall configurations.

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Keywords: Torsion, concentric, shear wall, positioning, thickness.

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Artificial intelligence (AI) is rapidly changing the landscape of education and has great potential to personalize learning, expand access, and impact learning and development. This paper explores the multifaceted impact of AI in education and demonstrates its potential to create personalized learning pathways using AI-powered platforms and intelligent learning systems that adapt to the needs of each student, strong and rapid learning to produce a personal learning experience. Immersive learning experiences through AI-powered games and simulations, immersive elements, and personalized feedback foster deep engagement and turn learning into a rewarding journey.

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 Keywords

personalization, adaptive learning, enhanced teaching, improved learning outcomes, and AI-powered tools

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The present study examines the relationship between rigidity and adjustment among secondary school students. Rigidity, understood as the tendency to resist change in thoughts, beliefs, or behavior, can influence how individuals adapt to academic, social, and emotional demands during adolescence. Using a descriptive survey method, data were collected from a representative sample of secondary school students through standardized psychological scales measuring rigidity and various dimensions of adjustment, including emotional, social, and educational domains. Statistical analyses were employed to determine the nature and strength of the relationship between the two variables. Findings indicate that higher levels of rigidity are generally associated with lower adjustment scores, suggesting that cognitive and behavioral flexibility may play a critical role in fostering positive adaptation in school settings. The results have implications for educators, counselors, and policymakers in designing interventions to promote adaptability and well-being among adolescents.

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 Keywords

Rigidity, Adjustment, Adolescence, Secondary Education, Cognitive Flexibility, Student Well-being

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Abstract: India is known for its rich biodiversity with several endangered and endemic conditional plants in its hotspot. Among the 400 flowering plants worldwide, 315 families are presented in India. It is a vast repository of traditional knowledge and provide source for several medicines. Even now rural communities and households practice folklore medicines to cure common ailments. These medicines combine traditional healing practices, spirituality and therapies to diagnose and prevent elements. NEP2020 (4.27) clearly mention that Knowledge of India will include knowledge from ancient India and its contribution to modern India and its successes and challenges and clear sense of India's future aspirations about education, health, environment. Indian knowledge system including tribal knowledge, indigenous and traditional way of learning of many subjects including tribal ethno-medicinal practices, forest management, yoga, medicine etc. This research paper attempts to review the role of folklore herbal medicinal system regarding holistic approach to health and healing in the perspective of Indian knowledge system. The study solely based on secondary data. The research found that from Vedic period to later time folklore herbal medicinal system played pivotal role in curing the health and healing of people. Reviving ancient folklore herbal medicinal system is need for today's world. The more we are reaching the highest in technology. The better we need to take care of health. Hence, there will be a probability of huge demand for herbal practices as they have no side effects and people want to cure themselves without taking allopathic remedies. Moreover, we need to understand the true meaning of IKS where we share and care people. Since we need to live our life meaningful, instead of overthinking about materialistic life. Eventually, we can conclude that from Vedic period to later our ancient Indian renowned sages always been taking care of entire Gyan Parampara including various subjects. So, the Knowledge and understanding of these traditional practices can makes us feel rooted to our nation and sense of pride in our Bhartiya Gyan Parampara.

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 Keywords

folklore herbal, ancient medicinal system, IKS (Bhartiya Gyan Parampara.

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Man and Human civilization pre historically depend upon the environment. All aspects of humanity can't ignore the presence of nature. Strong relationship between man and environment especially in the present day scenario turns social scientist into the arena of debate. How much dependence of human society on environment is efficient? This is the pertinent question of time. Over exploitation of nature is not only harmful for present generation but it may also nullify the concept of sustainable development. Again to whom, the responsibility of environment management be restored upon. We all exploit environment for meeting our needs but are we committing ourselves for environmental up gradation? In this paper we are going to highlight some issues relating to man and environment. The paper contains the better side of the relationship and negative aspects of the relationship also.

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 Keywords

Environment Management, Over exploitation, Sustainable development

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ABSTRACT Background: An estimated 15 million babies are born pre term every year. Approximately 1 million children die each year due to complications of preterm birth. Nearly 3.5 million babies in India are born too early, 1.7 million babies born with birth defects, 40% of neonatal deaths happen during labour or within 24 hours due to the Pre-maturity (35%), neonatal infections (33%), birth asphyxia (20%) and congenital malformations (9%). Results: It was identified that total newborn admissions in Neonatal Intensive Care Unit (Intramural) and Referral Newborn Unit (Extramural) were 1128 from January 2022 to December 2022 at Rajah Muthiah Medical College and Hospital, Chidambaram, Cuddalore District, Tamilnadu. The prevalence of preterm birth was 456 (40.42%). In which, 271(59.42%) of them were moderate to late preterm (32-37 weeks), 144 (31.57%) were early preterm (28-32 weeks) and 41 (8.99%) were extreme preterm birth (<28 weeks), totally, 353 were inborn and 103 were outborn. The common Health Problems of Preterm Neonates was assessed among 100 preterm neonates and it was found to be feeding problems (100%), hypothermia (92%), breathing problems (62%), Congenital Anomalies (7%), Neural Tube Defects (2%), skin infection (2%), Meningitis (1%), Birth injury- (1%) and Down syndrome (1%).

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Key words: Prevalence of preterm birth, common health problems of preterm neonates, neonatal health issues.

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Sustainability is a critical issue in today's society. Organizations can no longer consistently grow their businesses without society's cooperation. Marketing managers thus focus on satisfying consumers' socio and ethical needs, such as through providing cultural promotion, nvironmental protection, and disaster relief activities. Sustainability encompasses an organization's economic, social, and environmental responsibilities, provoking the question of how to implement them effectively. This study focuses on the traditional fashion market's sustainable marketing activities and their performance. The results demonstrate that the traditional fashion market's sustainable activities have a positive effect on brand image, trust, and satisfaction. Moreover, they have a positive influence on building brand loyalty. The results offer meaningful implications for corporate executive officers and marketers to create more effective sustainable management strategies.

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Traditional fashion market, CSR, Sustainable marketing activity, Brand image, Customer loyalty.

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The issues of forest fires pose a significant environmental threat which usually leads to loss of biodiversity, destruction of property and air pollution. This study proposes an intelligent environment monitoring system using Wireless Sensor Network (WSN) integrated with Recurrent Neural Network (RNN) model for real-time detection of forest fire. The data-set used for training the RNN algorithm is the Environmental Sensor Telemetry Data (ESTD) data-set from Kaggle data-set repository. The data-set was further pre-processed through data cleaning, normalization and the use of Synthetic Minority Oversampling Technique (SMOTE) for handling data imbalance. The RNN model presented is made up of 3 hidden layers with Tanh activation function and an output layer with Sigmoid activation function for binary classification of either there is forest fire or not. Google Colab development environment was used for implementation of the model and performance evaluation results of the system presented that the model attained an accuracy of 94.3%, precision of 0.9320, recall of 0.9417 and F1-score of 0.9368. The results indicates that the model is reliable and that the application of AI-driven WSN systems can be used to enhance early wildfire detection and environmental monitoring. Finally, future research could consider hyperparameter optimization, additional environmental factors and real-world deployment to further improve detection accuracy.

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 Keywords

WSN; Environment Monitoring; Forest Fire Detection; RNN; Machine Learning

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