Volume 12 | Issue 10

 Abstract

The insurance industry plays a vital role in the promotion of sustainable development both socially and economically. All industries are facing growing pressures to put climate and environmental issues at the forefront of their business dealings, and the insurance sector is no different. In prediction of last year, 2023 has been a tough year for insurers, characterized by hard market conditions that have led to higher claims rejection rates for customers. In 2024, insurers will have to make efforts to restore customers faith in the industry, as well as minimizing customer losses in the wake of premium rises. Insurers will no doubt focus on improving the customer experience by increasing transparency and simplifying the claims process in order to boost retention rates and strengthen consumer brand loyalty. As customer expectations change, insurers will have to adapt their business model to meet new demands. Insurers focusing on delivering customer-centric products and services will fare well in 2024.

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Innovative Insurance Product

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The Philippines is a highly disaster-prone country, and Valenzuela City is no exception. Approximately 25% of the city is situated below sea level, which makes natural drainage challenging and causes frequent severe floods that significantly impact the city's socioeconomic fabric (Designing Resilience in Asia, n.d.). In response, researchers have conducted a study on extracting local flooding disaster knowledge of the communities in Valenzuela City towards disaster policy enhancement. The study aimed to identify and document the local knowledge and experiences of residents in flood-prone communities in Valenzuela City regarding flooding disasters. The researchers used a qualitative method including interviews and surveys to gather community data. The data collected were then analyzed using thematic analysis to identify key themes and patterns in the residents' knowledge and experiences. The study revealed that the residents of Valenzuela City have a wealth of knowledge and experiences related to flooding disasters. They possess knowledge about the causes and effects of flooding and strategies to mitigate its impact. The study also found a strong sense of community among the residents, as they work together to cope with the effects of flooding. The findings of the study have significant implications for disaster policy enhancement in Valenzuela City. By incorporating the local knowledge and experiences of the residents, authorities can develop more effective policies and strategies to mitigate the impact of flooding disasters. The study also highlights the importance of community participation in disaster policy-making, as it promotes a sense of ownership and responsibility among the residents for their own safety and well-being. In conclusion, the study on extracting local flooding disaster knowledge of the communities in Valenzuela City towards disaster policy enhancement provides valuable insights into the knowledge and experiences of residents in flood-prone communities. The findings of the study can inform the development of more effective policies and strategies for disaster risk reduction and management in Valenzuela City and other flood-prone areas in the Philippines. The study also emphasizes the importance of community participation in disaster policy-making, as it promotes a more inclusive and effective approach to disaster risk reduction and management.

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disaster risk reduction management plans, local disaster knowledge, local knowledge, Valenzuela City.

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INTRODUCTION: Musical performances require a maximum of concentration, both on the psychological and on a physical level. Student and professional musicians practice their instrument for thousands of hours a year, sometimes many hours a day, maintaining unfavourable postures and require a high level of neuromuscular activity, while placing a very significant load on their musculoskeletal system. The prevalence of musculoskeletal disorders in instrumentalists is relatively high, ranging from 73.4% to 87.7%.At least 75% experience upper extremity symptoms, most of which relate to overuse. Most commonly, occupational injuries in musicians affect the upper quarter region, with highest prevalence in the cervical-thoracic spine, shoulder, elbow, wrist and hand. These upper quarter injuries and consequential pain are frequently associated with neuromuscular changes often affecting the cervical spine and scapular stabilizers. String instruments are the generic term of the instruments that make sound with the vibration of strings. Included in the category of bowed string instruments are the violin, viola, cello, and double bass .Although they include guitars, harps, pianos in the broad meaning, the violin family; violin, viola, cello, and contrabass. The present study evaluates the presence of scapular dyskinesis in young musicians who play these instruments i.e - Violin , Sitar , Ukulele ,Guitar. AIM: To Study the Prevalence of Scapular dyskinesis in string players. OBJECTIVES: To Study the Prevalence of Scapular dyskinesis in string players using Scapular Dyskinesis test (SDT) & Lateral Scapular Slide test (LSST). Methods: An Observational study was conducted on 90 string players , aged 18-35 years, playing instrument for more than 5 years with frequency of playing the string instrument between 4-5 times a week with 2-2.5 hours of practice sessions.The ones who had swelling, sensory impairment (eg: Diabetes,Arthritis,Pregnancy),Players with Previous Shoulder injuries, Upper limb fracture were excluded from the study.Players with Recent upper extremity & neck injuries were also excluded. RESULTS: This study was done in 90 string instrument players from Pune. Among 90 string instrument players:30 were violin players from which 6 players had scapular dyskinesis, which shows 20% prevalence.20 were sitar players from which 2 players had scapular dyskinesis, which shows10% prevalence.20 were ukulele players in which there was no prevalence of scapular dyskinesis.20 were guitar players in which 2 players had scapular dyskinesis , which shows 10%prevalence.The results showed that the average age of String players was 25 years , with an average playing experience of 7years in which this study shows 11 % prevalence of scapular dyskinesis. CONCLUSION: Thus the study concludes that the prevalence of scapular dyskinesis is 11% in string players in & around Pune.

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Scapular Dyskinesis, String Players, Scapular dyskinesis test, lateral Scapular Slide test.

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API gateway orchestration is a crucial component in building a successful multi-cloud environment. It acts as a central hub for managing the flow of data and communication between different applications and services across multiple cloud platforms. However, implementing and maintaining this orchestration can be challenging due to the complexities of multi-cloud environments. One of the main challenges in API gateway orchestration is ensuring seamless connectivity and compatibility between different cloud platforms. Since each cloud provider has unique APIs and protocols, integrating them into a coherent system can be daunting. This requires a deep understanding of the various cloud platforms and their capabilities and the development of custom adapters and connectors. Another challenge is maintaining security and compliance in a multi-cloud environment. With multiple data sources and endpoints, ensuring consistent policies and access control across different clouds can be a complicated task. Additionally, having various API gateways increases the attack surface, making it crucial to have robust security measures. Efficient API gateway management and monitoring are also critical in a multi-cloud environment. With a unified view, tracking and troubleshooting issues that may arise can be easier. This can result in delays in response times and potential downtime, impacting the overall performance and reliability of the system.

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Multi-Cloud, Orchestration, API Gateway, Robust, Troubleshooting, Threat Detection

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This paper explores the twin effect of social media on mental fitness, highlighting each its capacity to beautify social connections and its affiliation with multiplied tension, depression, and emotions of isolation. Findings suggest that moderation and mindful usage are critical for mitigating poor outcomes whilst maximizing blessings.

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INTRODUCTION,OBJECTIVES,LITERATURE REVIEW,PROBLEM STATEMENT,DATA ANALYSIS,FINDINGS,CONCLUSION,REFERENCES

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The segregation or the classification of the medical colleges in India based on the NEET rank of the students is a very vital task that can significantly impact the quality of the healthcare sector of the country. This research paper provides an analysis of multiple factors influencing the ranking of the medical colleges in India and it proposes a classification framework based on these factors. This research utilizes a dataset containing information about medical colleges, including factors like score, gender, category, locality, etc. Various machine learning and deep learning algorithms such as random forests, decision trees, and neural networks have been implemented on the dataset, but when compared, the best accuracy attained was through decision trees. The findings of this research paper can be used by various educational institutions and students to improve the quality of medical education in India.

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Machine-learning techniques , Predictive model , Classification framework , Decision trees , Random forests ,Categorical data , Discrete variables , Model interpretation , Overfitting , Feature importance , Linear models ,Computational resources ,Class imbalance

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DevOps integrates development and operations to beautify collaboration, streamline workflows, and boost up software shipping. It emphasizes automation, non-stop integration, and remarks loops to enhance software first-rate and reliability.

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Introduction,Objective,Literature review,Problem Statement,Data Analysis,Findings,Conclusion, References.

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This paper discusses the application of generative adversarial networks, or rather, the Pix2Pix approach, to transform satellite images to high-resolution map representations. This involved paired datasets of a satellite image and its corresponding map image to train the model so that it could fairly translate real-world data into these correspondingly simplified, illustrative map forms and can reduce issues with data acquisition, even image resolution, and even feature representation. This should result in a more accurate map generation, with no loss of critical geographical features, as a valuable resource for both urban planning and GIS as well as for navigation.

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Image-to-Image Translation, Generative Adversarial Networks (GAN), Map Generation, Feature Representation, Satellite Image Processing.

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The Apiaceae family of medicinal herbs, including Centella asiatica (L.), has long been utilized in Chinese and Ayurvedic medicine to treat a wide range of illnesses. Its medicinal applications and metabolic characteristics are examined in this review. In addition to amino acids such aspartic acid, glycine, glutamic acid, alanine, and phenylalanine, the plant also includes sugars, tannins, inorganic acids, and resins. A thorough examination demonstrates that the leaves have more moisture and ash than the roots, and that the compound hydrocotylin (C22H33NO8) was isolated from the dried plant material, suggesting a significant amount of sand and earthy components. Flavonoids such as 3-glucosylquercetin and 7-glucosylkaempferol make up the majority of the phenolic chemicals found in C. asiatica. According to recent studies, the plant has several contemporary uses. One such use is the creation of hydrogel-based anti-acne patches, which effectively combat Propionibacterium acnes, a key acne-causing bacteria. Additionally, a pegagan ethanol extract sunscreen spray gel has been evaluated for its UV protection across 290 to 320 nm, demonstrating the herb's utility in dermatological products. This review underscores Centella asiatica's extensive cosmetic value and its emerging role in contemporary skincare solutions.

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medicinal plants, cosmetics, Centella asiatica

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When it comes to investigations involving weapons, forensic ballistics is indispensable in Indian criminal cases. The investigation process typically begins when law enforcement agencies collect evidence from the crime scene, such as bullets, shell casings, and firearms. These items are sent to forensic laboratories where ballistic experts analyze them to determine crucial information. This includes identifying the type of firearm used, matching bullets or cartridges to a specific weapon, and estimating the distance and angle from which the shot was fired. The examination also involves studying gunshot residue, trajectory analysis, and wound patterns to reconstruct the crime. This scientific evidence aids in establishing a link between the suspect, the weapon, and the crime scene, providing vital support for prosecution in court. Forensic ballistics in India is subject to stringent regulatory requirements meant to protect the reliability of evidence and maintain high criminal justice standards. The findings from ballistic investigations often serve as pivotal pieces of evidence, helping to solve complex cases involving armed crimes.

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Forensic evidence, criminal cases, India, Examination

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The prediction of cryptocurrency prices has emerged as a critical area of research, driven by the market's inherent volatility and the increasing popularity of digital currencies such as Bitcoin and Ethereum. Traditional financial models often fall short in capturing the rapid fluctuations and intricate dynamics that characterize cryptocurrency markets. This paper examines the application of machine learning techniques, including Support Vector Machines (SVM), Random Forests, and deep learning architectures like Long Short-Term Memory (LSTM) networks, to forecast cryptocurrency price movements. By utilizing historical price data, technical indicators, and social media sentiment analysis, we develop models that outperform conventional methods. Our findings reveal that deep learning models, particularly LSTM, offer superior accuracy in predicting price trends, with notable reductions in error rates and improvements in directional forecasting. This research emphasizes the promise of machine learning in advancing cryptocurrency price prediction and provides valuable insights for future studies in financial forecasting using cutting-edge AI methodologies.

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Cryptocurrency, Price Forecasting, Machine Learning, LSTM, Sentiment Analysis, Bitcoin, Ethereum, Deep Learning

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Agada tantra is a subject which deals with various poisons and its treatment. For the management of different poisons many formulations are mentioned in the treatises of Ayurveda. One such Agada yoga that is mentioned in the context of snake bite management is Bhimarudro Rasa mention in Bhaishajya Ratnavali on treatment of snake bite and treat the sever conditions occurs due to intake of poison. It contains eleven ingredients including three Kritrim Visha, three Sthavar Visha and five herbs. The easy availability of the ingredients and simplicity of the preparation and preservation of the formulation may encourage the physician to use this formulation in poisoning conditions. So, an effort has been made to review this formulation in order to its pharmacological properties for its medicinal use

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Agad tantra, Bhimrudro Rasa, Snake bite, Poison

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This project develops an eco-friendly process to extract cellulose fibers from tapioca skin, a waste material from cassava processing. The optimized pretreatment and enzymatic extraction methods yield high-quality fibers suitable for textile production. Characterization reveals improved fiber strength, crystallinity, and biodegradability. Sustainable textiles produced from tapioca skin fibers offer a promising alternative to synthetic materials. This innovation valorizes cassava waste, supports local industries, and contributes to environmentally responsible textile manufacturing. The extracted fibers unique properties enhance textile sustainability, providing a green solution for the fashion industry. This study explores the potential of cassava, a tropical root crop, for sustainable product development and fiber manufacturing. Characterization, processing, and utilization of cassava plant by products were investigated for various industrial applications. The research focused on making of value added eco-friendly and sustainable paper bags by using tapioca skin

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Tapioca, fiber extraction, sustainability, paper pulp, eco friendly

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The ancient art of Yoga is a treasure to the world from Indian Sub Continent. Great yogic philosophers from time immemorial have contributed to develop the tradition of Yoga. Siddhar Thirumoolar and Shri Vethathiri Maharishi are two such philosophers. Their main purpose of life are to create a concrete system of yoga, which will render the upliftment of spiritual consciousness in mankind. Thirumoolar gave the great treatise of all time "Thirumandiram'. This epic is beyond any specific philosophy. It encompasses many yogic tradition and mysticism. It is also called as Mandira Malai (Garland of Manthras). Payiram is the first part of the Thirumanthiram. It is followed by Nine Thanthras. So, totally there are 230 sections comprising of 3047 verses. Thirumanthiram explains the three realities of Saiva Siddhantha: Pathi, Pasu, Pasam. He elaborates four ways to reach God Chariya, Kriya, Yoga and Gnana. Vethathirian philosophy is a precious gem which advocates world peace through individual peace. Vethathiri Maharishi gives a scientific methodology to attain liberation also known as Self Realisation. His teachings comprises of physical health, mental tranquility, kayakalpa yoga and introspection. Both the legends have preached mindfulness, restraining from causing injury to others through thought, word and deed. They have dealt in detail regarding the spiritual progress in a Sadaka, by subduing the senses and sublimation of the six base traits. The vethathirian yoga instructs about the kayakalpa yoga, which is considered as the unique concept of Kundalini Yoga. Thirumanthiram includes mantra chanting, Astanga Yoga, Kechari Yoga, Bariyanga Yoga, Amuri Dharanai and many other yogic techniques. Thirumanthiram is an elaborate mystical text, whereas vethathirian yoga system of SKY system briefly explains the four pillars known as SKY exercises, Meditation, Kayakalpa and Introspection which are the code of spirituality. In this modern era of scientific temperament and technological innovations, spirituality should be made simple and compatible to the regular routine of individual. In this context the practices designed by Vethathiri Maharishi could be a best solution to regulate the life style of the present population.

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Astanga Yoga - Kechari Yoga - Bariyanga Yoga- Amuri Dharanai - Manthras - SKY Exercises - Meditation - Kayakalpa - Introspection

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Bharat mein gramin Vikas ke sandrbh mein digital taknik ek Parivartan kari shakti ke roop mein ubhari hai, Jo gramin samudayon ke samne aane wali dirghakalic chunautiyon ke liye Abhinav Samadhan prastut karti hai. Yah sar krishi utpadakta badhane, Shiksha aur swasthya seva Tak pahunch mein sudhar karne aur uddhamita aur Kaushal Vikas ke madhyam se arthik Vikas ko badhava dene mein digital taknik ki bahumukhi bhumika ka pata lagata hai. Mobile taknik aur internet ke ekikaran ne Mausam ke mijaj, bajar ki kimaton aur sarvottam krishi paddhtiyon se sambandhit mahatvpurn suchnaon ke Prasar ki suvidha pradan Ki hai, jisse kisanon ko suchit nirnay Lene mein sashakt banaya hai. E governance pahal ne sarkari sevaon ke vitran mein pardarshita aur dakshata mein sudhar Kiya hai, naukarshahi badhaon ko kam Kiya hai aur labhon Tak samay per pahunch sunishchit Ki hai. Iske alava, digital platform ke samuh ke liye raste khole Hain, arthik Kshetra mein samaveshita aur bhagidari Ko badhava Diya hai. Halanki, ine taknikon ke karyanvayan mein digital nirikshanta, buniyadi dhanche ki Kami aur samajik arthik asamantaon Jaisi chunautiyan Hain. Yah sar satat gramin Vikas ke liye utprerak ke roop mein digital praudyogiki ki kshamta per Prakash dalta hai, Sath Hi maujuda badhaon Ko dur karne ke liye lakshit nitiyon aur nivesh ki avashyakta per Bal deta hai, taki yah sunishchit ho sake ki digital Pragati ka Labh gramin Bharat ke har Kone Tak pahunche.

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Bhartiya gramin Vikas, digital praudyogiki.

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The year 1947 is much known to the Indian subcontinent and the world as the year when India and Pakistan got independence from the British rule. Both the countries had long been under the rule for nearly two centuries. This period was marked by financial, social and religious exploitation. The Britishers had no intentions to leave the subcontinent on its own any time soon. But as they participated in the second world war on behalf of the allied group which went on for six years, they were bankrupted and were very short on resources to run the administration of India. So they decided to grant freedom to India. But while doing so, they divided it into two countries on the basis of religion. One was India of Hindus and the other was Pakistan of Muslims. Religious and communal differences were among the things which beautified the Indian subcontinent and presented it in front of the world as a multicultural land. Such things prevail in the society only when human values are there. But this identity was tarnished because of the partition of India and the bloody and gory events that took place during it. This research paper contains personal views of the people who actually witnessed the partition and brings out their perspective about it and a sense of belonging and alienation they have felt over the years because of partition.

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Partition, Freedom, Human Perspective, Interviews, Eye-witnesses, Experiences, Migration, Religious Riots, Violence, Massacre, Conflict, Homeland, Motherland, Foreign Land, Sense of Belonging, Sense of Alienation

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In the realm of modern recruitment, the surge in applicants for a single job opening presents a formidable challenge for recruiters, necessitating a meticulous review of numerous resumes. This process is both time-consuming and arduous due to the inherent diversity in resume structures, sections, and formats submitted by applicants. To address this challenge and streamline the hiring process, our proposed solution is the Smart Resume Analyzer an innovative system rooted in Natural Language Processing (NLP). The extraction of critical information from resumes, such as contact information, skills, education, and job experience, requires the use of resume parsing. [1] This system comprises two core components: Job Seekers and Recruiters. Job seekers upload their resumes, typically in PDF or DOC formats, initiating a parsing process for field extraction. Subsequently, the system conducts a thorough analysis, assigning a rank to each resume based on factors such as skills, educational background, and other relevant parameters. Furthermore, the system offers valuable feedback to applicants, recommending enhancements like skills, courses, or additional fields to boost their resume's ranking. The analysis results and ranked resumes are stored in a database, furnishing recruiters with a comprehensive overview of the most qualified candidates for a specific role. This approach markedly reduces the time recruiters spend manually reviewing resumes, significantly enhancing the overall efficiency of the hiring process.

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Natural Language Processing (NLP), Recruitment, Resume Parsing, Resume Analyzer, Job portal

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In This I have studied the seismic response of various types of slabs in commercial buildings and their seismic behavior is studied. As we know every year uncountable number of earthquakes occur at different places, that means, small movements of tectonic plates occur all the time causing earthquakes. A building designed to withstand seismic activity can protect more people. If we construct seismic resistant slabs and roofs, we will require more columns, however in some situations, such as airports, retail malls, and commercial buildings, extra columns may cause problems. To address this issue, seismic designs for flat slabs and waffle slabs were developed. Flat/Waffle slabs are made up of concrete beams separated at constant intervals in perpendicular directions and are monolithically cast with slab, making them safer in earthquakes than traditional slabs.

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Flat Slab, Earthquake Load, Response Spectrum, Storey Drift, Storey Displacement, E-Tab 2018, Base Shear Time Period, Mode Shapes

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This paper presents a novel machine-learning framework for predicting the health state and remaining useful life (RUL) of industrial machinery and equipment. The proposed approach addresses key challenges in data-driven prognostics, including feature engineering, temporal modelling, and uncertainty quantification. Case studies on wind turbine main bearings and milling machine tool wear further validate the framework's practical applicability and generalizability. Visualization techniques, including t-SNE and reservoir dynamics analysis, provide insights into the learned representations and model behavior. This research advances the field of machine prognostics by providing a flexible, accurate, and interpretable framework for predicting machinery health and RUL. The proposed approach enables more effective predictive maintenance strategies, potentially reducing downtime and maintenance costs in various industrial applications.

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Predictive Maintenance, RUL, Machine Prognostics, Machine Learning

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