Volume 13 | Issue 2 |

 Abstract

The supply chain has transformed into a vital component of the global economy, playing a significant role in trade, business functions, and economic stability. This paper investigates the essential principles of supply chain management (SCM) and its connection to global trade. The research analyzes key factors such as technological progress, innovations in logistics, and international trade agreements that influence global supply chains. Additionally, it assesses the effects of disruptions, including pandemics and geopolitical conflicts, on the resilience of supply chains. The results indicate that companies need to embrace a digital-first strategy and adopt risk-mitigation measures to effectively maintain their supply chain operations.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Supply Chain ,Global Trade

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial intelligence (AI) is rapidly transforming the banking industry, offering potential benefits such as personalized services, fraud detection, and enhanced efficiency. However, widespread adoption of AI-driven banking services hinges on customer acceptance. This research investigates the crucial role of perceived control in shaping customer attitudes and behaviors towards AI in banking. We hypothesize that higher levels of perceived control over AI systems will positively influence customer trust, perceived usefulness, and ultimately, their willingness to use AI-powered banking services. This study employs a quantitative survey methodology, targeting a diverse sample of banking customers. The findings will provide valuable insights for banks seeking to design and implement AI solutions that foster customer acceptance and drive adoption.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI, Transparency, Trust, Loans, Acceptance

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A thorough oral examination can uncover hidden systemic conditions, enabling early diagnosis and treatment. Oral signs such as mucosal changes, gum inflammation, and tooth condition can indicate underlying conditions like anemia, lupus, Crohn's disease, Addison's disease, diabetes, HIV, thrombocytopenia, and leukemia. Specifically, symptoms may include pale mucosa, oral ulcers, honeycomb plaques, swollen mucosa, cobblestone texture, and severe gum inflammation and bleeding. Furthermore, oral manifestations can also be seen in patients with gastroesophageal reflux disease, bulimia, and anorexia, where tooth erosion may occur due to acid exposure. In some cases, oral changes may be the first sign of a systemic disease, emphasizing the importance of regular oral examinations to detect these conditions early and facilitate prompt treatment. By recognizing the oral symptoms of systemic diseases, healthcare providers can play a crucial role in identifying and managing these conditions, ultimately improving patient outcomes.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Thrombocytopenia, Systemic Disease, Oral lesion , periodontal Disease,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper through a light on basic idea about insurance, meaning, contributions of insurance and journey of insurance from the pre-modern era to Digital era.The paper also deals with stakeholders of insurance and its periodical conversions from the ancient version to the present digital world. This paper is a part of minor research project, which is aimed to examines the effectiveness, service quality, and customer satisfaction levels associated with both public and private insurance providers, providing a comprehensive assessment of their respective benefits and drawbacks. By evaluating elements such as consumer awareness, cost factors, and the willingness of potential clients to purchase insurance products, the research aims to identify the key challenges and opportunities faced by the industry. The investigation focuses on the performance indicators and service standards of insurance companies across both sectors, emphasizing their strengths and areas needing enhancement. By thoroughly analyzing potential customers' views on affordability and their readiness to engage with insurance offerings, this research aspires to highlight significant issues and opportunities that the insurance industry must confront. The findings will contribute to the broader discourse on market orientation and consumer behavior within the insurance sector, offering valuable insights for policymakers, industry stakeholders, and consumers alike.This paper publication connected to the Minor Research Project work with the financial support sanctioned by Honorable Managing Committee, Sir C R Reddy Educational Institutions, Eluru through Research and Development Cell, Sir C R Reddy College (A), Eluru.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

:Service Quality -Customer Satisfaction -Insurance Provider -Potential Clients-Insurance Offerings -Industry Stakeholders.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The project leverages embedded systems and python programming to create an efficient and automated solution for real-time soil monitoring.The system incorporates NPK (Nitrogen, Phosphorus, Potassium), moisture, and DHT-11 sensors, integrated by a microcontroller and IoT connectivity. The NPK sensor enables precise monitoring of soil nutrients, while the moisture sensor ensures optimal irrigation management and the DHT-11 sensor captures environmental data crucial for understanding climatic conditions that affect the crop growth. The data collected is then transmitted to a cloud platform for storage and processing. The objective is to develop a scalable, user-friendly platform that enables farmers to monitor soil conditions remotely. Eventually this innovative solution has the potential to transform agricultural practices, enabling farmers to make informed decisions that lead to Eco-friendly farming and increased productivity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arduino, DHT11, Soil Moisture Sensor, NPK Sensor, MAX485 Module, Relay Module

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: This is an experimental study which investigates the effects of Yogic Practices(YP) on Cognitive Functions(CF) and Mental Health(MH) among adolescence(12 to 14 age). In this study total 20 participants have taken their active participation. Over 12 week period, and group were engaged practices of Asanas, Meditations, Mudra, and Pranayama. Cognitive functions were assessed using standardized tests before, during, and after the intervention with the help of Cognitive Assessment Battery (CAB)(TM) PRO test (CogniFit Inc., San Francisco, CA, USA). It is an online suite of neuropsychological battery tests. The outcomes of the study furnish a comprehensive report, detailing individual scores across 06 cognitive skills and mental health. The validity index of the measurements encompasses Z-scores, percentiles, and adjusted percentile scores. In the evaluation of test-retest reliability for the Cognitive Assessment Battery (CAB), RMANOVA and intergroup correlation were judiciously employed. The results from RMANOVA underscored significant distinctions in cognitive functions and Mental Health among the yogic practices.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Adolescents, yogic practices, cognitive functions

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT This study presents overview and comparative study of Mangrove Alliance for Climate (MAC) and Global Mangrove Alliance (GMA). This study reveals how Mangrove Alliance for Climate (MAC) and Global Mangrove Alliance (GMA) differ from each other and also this study reveals on how close relationship with Mangrove Alliance for Climate (MAC) and Global Mangrove Alliance (GMA). This study reveals how Global Mangrove Alliance (GMA) working collobratively on Climate adoption, climate mitiation, sustaining biodiversity and improving human well being, the Mangrove Alliance for Climate (MAC) reveals various types of mangrove forests across the globe and importance of mangroves. In general both Global Mangrove Alliance and Mangrove Alliance for Climate (MAC) specify on protection of coastal area from Tsunami's storm sings and soil erosions ;due to their complex root systems which despite sea wave energy. This study also reveals the challenges with mangrove conservations and also reveals various significances such as trap and cycle various organic materials, chemical elements and important nutrients in the coastal eco-systems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mangrove Comparative Study

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Introduction Migraine is a common episodic neurological disorder with a complex physiopathology. Migraine without aura is the commonest subtype of migraine, accounting for 70%-80% of cases. It is the third most prevalent disorder and second most specific cause of disability worldwide. Management protocols involve acute treatments for immediate relief and preventive therapies to reduce frequency and severity. Although current conventional treatment is useful in relieving pain, yet patient continues to suffer due to recurrence and severity of attacks. This highlights the need to explore other potential treatment modalities. Homoeopathy's individualistic approach addresses the underlying Bio-Psycho-Social causes, thereby results in rapid, gentle and permanent cure. Case summary 32-years-old married female patient, presented with throbbing type of headache accompanied by Phono-photophobia and nausea. Complaint started suddenly one year ago, intensity of pain was severe (Patient rated 7 on VAS), duration of pain was 6 to 12 hours and it occurred 3 times/week. After a detailed history taking, totality was formulated and after referring repertory and Homoeopathic Materia Medica Natrum Muriaticum 1M 1 dose/1 week for 1 month was prescribed, follow up was taken every month and as and when required for 6 months. After treatment, improvement in intensity of pain was assessed using visual analogue scale, which reduced to 0. The effectiveness of the Homoeopathic treatment was further confirmed using the modified Naranjo's Criteria, yielding a score of 08 which shows a causal relationship between a homeopathic intervention and clinical outcome.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key words- Migraine without aura, Homoeopathy

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

OYO Hotels has revolutionized the budget hospitality sector by offering standardized and affordable accommodations across various locations. This study explores booking patterns, customer segmentation, and platform preferences to understand customer behaviour and optimize business strategies. Using secondary data from OYO's internal databases and industry reports, this research analyses seasonal demand, geographical booking trends, and hotel category performance. The methodology includes data preprocessing, visualization using Power BI, and statistical analysis with Python. Key findings reveal that Maharashtra and Delhi record the highest bookings, while states like Chhattisgarh underperform. Peak booking hours are between 6 PM and 9 PM, with the OYO app emerging as the most preferred booking platform. Customer segmentation highlights four key groups: Top Customers, Loyal Customers, Inactive Customers, and At-Risk Customers, providing actionable insights for personalized marketing strategies. Results emphasize the importance of seasonal promotions, targeted retention efforts, and regional marketing strategies to enhance customer engagement. By leveraging data-driven insights, OYO can refine its service offerings, improve user experience, and drive sustained growth in the competitive budget hotel industry.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

: OYO Hotels, Customer Preferences, Booking Patterns, Hospitality Industry, Data Analytics, Customer Segmentation, Power BI

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores the use of active learning and machine learning techniques to predict student anxiety, aiming to improve mental health management in educational settings. By leveraging active learning, the system identifies the most informative data points, enhancing the efficiency and accuracy of predictive models. Various machine learning algorithms, including K-Nearest Neighbours (KNN), Logistic Regression (LR), XGBoost (XGB), Naive Bayes (NB), and Random Forest (RF), are evaluated for their ability to detect anxiety patterns. The results indicate that Random Forest consistently performs well due to its robustness in handling complex data relationships. Active learning further refines predictions by iteratively selecting valuable data points, reducing the need for extensive labelled datasets. This research highlights the potential of data-driven approaches in educational psychology, contributing to the development of effective student mental health monitoring tools.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Active Learning, Machine Learning, Predictive Modelling, Student Anxiety, Multi-Class Classification, Mental Health Prediction, Data-Driven Approaches, Student Behaviour Analysis, Anxiety Detection, Adaptive Learning, Educational Psychology, Behavioural Data, K-Nearest Neighbours (KNN), Random Forest (RF), Logistic Regression (LR), Imbalanced Data Handling, Psychological Well-being, Automated Anxiety Prediction.

  License

Creative Commons Attribution 4.0 and The Open Definition