Volume 12 | Issue 11

 Abstract

Transdermal patches have been used for drug delivery to accelerate the wound healing process withminimum negative effect. This study evaluated the wound healing potential of transdermal patchescontaining Carica papaya, Chromolaena odorata, and Averrhoa bilimbi leaves extract on hyperglycemic rat as a diabetic wound model. For this purpose, a total of 40 Wistar rats aged 2 - 3 months were randomly distributed into 10 groups. The first 5 groups (P1, P2, P3, P4 and P5) consisted of normal rats which received normal dressing, TP Dermafix, TP of C. papaya, TP of C. odorata, and TP of A. bilimbi, respectively. The second 5 groups (P6, P7, P8, P9 and P10) were hyperglycemic rats that received normal dressing, TP Dermafix, TP of C. papaya, TP of C. odorata, and TP of A. bilimbi, respectively. Skin incisions were made perpendicular to the spine in the thickest part of the skin with an incision length of 2cm and a depth of 0.5 cm. Patches were applied to the incisions according to the test group and replaced every 2 days for a period of 13 days. Wound healing activity was determined by evaluating the Clinical Sign of Inflammation (CSI) score, wound closure, TGF-?1 concentration, and histology of skin tissue.Data were analyzed using oneway analysis of variance (ANOVA).

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Skin incisions , Wound healing , Inflammation , Clinical sign

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Prasad ki natya alochna drishti

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Natak, rangmanch,parampara, sanskriti, itihas ,alochana

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: The Barak Valley is one of the prominent hubs of literary activity in the northeastern region. Through the cycles of historical erosion, decline, construction, and reconstruction, the society, literature, and culture of this region have carved out a unique identity for themselves. In contemporary times, Moloykanti Dey stands out as an exceptional storyteller in the northeastern literary landscape. His stories are both truthful and profoundly introspective. Amidst the entanglements of state and politics, people like Ashraf Ali, trapped under labels such as "citizenship," "illegal," and "D-voter," struggle to find a homeland. Women crushed under the weight of religion, politics, and patriarchy discover themselves reduced to mere objects. Workers unquestioningly accept subjugation, while ordinary people confront the dark quicksand of life. In such bleak circumstances, Moloykanti crafts a counter-narrative that captures the stark truths of these vulnerable lives. The paper is analytical in nature construed with the help of primary and secondary data.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key words- Asraf Ali Swadesh, Manusanghita, Komola Ranger sarre,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: Osteoarthritis (OA), also known as degenerative joint disease, is a chronic condition characterized by the gradual deterioration of cartilage within the joints. This degeneration leads to pain, stiffness, and reduced joint function, significantly impacting the quality of life of those affected. OA is closely associated with aging, as its symptoms tend to worsen over time, causing long-term discomfort and structural changes to the affected joints. As the disease progresses, it can lead to severe pain, disability, and a significant loss of mobility, making it one of the leading causes of disability worldwide. OA primarily affects weight-bearing joints such as the knees, hips, and spine, but can also involve smaller joints in the hands and feet.Despite the widespread prevalence of osteoarthritis, the best available treatments primarily focus on pain management and improving joint function but do not offer a cure for the degenerative process. Current treatment options include medications, physical therapy, and in severe cases, joint replacement surgery. However, these therapies only address the symptoms, and they cannot stop or reverse the progression of the disease. As the global population ages, OA is expected to become an even more significant public health issue, with an increasing number of individuals experiencing its debilitating effects.In recent years, significant advancements in Artificial Intelligence (AI), especially Machine Learning (ML) and Deep Learning (DL), have shown promise in improving the accuracy and efficiency of osteoarthritis detection and diagnosis. AI techniques, when applied to medical imaging, clinical data analysis, and predictive modeling, offer a powerful tool to detect early signs of OA, potentially before the onset of symptoms. By analyzing complex datasets from medical images (such as X-rays, MRIs, and CT scans) and patient-specific clinical data, AI can identify subtle patterns and predict the risk of progression. This early detection could enable clinicians to intervene sooner, potentially preventing or slowing down the disease's progression.This review paper aims to explore the state-of-the-art AI techniques applied to the detection and diagnosis of degenerative joint disease, focusing on the most innovative image-based detection methods, clinical data analysis, and predictive modeling techniques. It will provide an overview of how AI is enhancing the diagnostic accuracy of OA, examining both established and emerging approaches. The paper also identifies key open problems and research gaps, including the need for better data quality, model generalizability, and integration of AI tools into clinical workflows. Furthermore, it discusses the challenges associated with incorporating AI into osteoarthritis diagnostics, such as data privacy concerns, regulatory hurdles, and the need for interpretability of AI models to ensure trust and adoption by healthcare professionals.Finally, this paper will look at the future prospects of AI in osteoarthritis diagnosis and management, including the potential for personalized medicine, more effective treatment strategies, and improved patient outcomes. As AI technologies continue to evolve, they hold the potential to revolutionize the way osteoarthritis is detected, treated, and managed, offering hope for better care and quality of life for millions of people worldwide.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Osteoarthritis detection, X-rayImages, Segmentation, Machine learning Classifier, deep learning classifier.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Vriddhi is one among the disease which is explained in all Ayurvedic literatures. It is a Vata Pradhana Vyadhi, where Phalakoshashopha, i.e., Swelling of scrotum is the main symptom. The term 'Vriddhi' has been used at many instances in Ayurveda and has to be understood according to the context. Literally, the word 'Vriddhi' means increase and here, in this context of Vriddhi roga, it indicates Vrishana vriddhi / Mushka vriddhi / Andakosha vriddhi which can be correlated to Scrotal swellings. Classification of Vriddhi may be based on the predominant dosha and based on its etiology. Based on the etiology, clinical features and location, Vriddhi can be correlated to different scrotal swellings like Epididymo-orchitis, Scrotal lipomatosis, Hydrocele and Hernia. Here in this article an attempt is made to review Vriddhi roga in detail.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vriddhi, Phalakoshashopha, Scrotal swelling

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Pharmacogenomics is the area of pharmacology that examines how genetic variation affects a patient's reaction to medication by linking a drug's toxicity or efficacy to changes in gene expression or single-nucleotide polymorphisms. It seeks to create logical methods for tailoring medication regimens to patients' genotypes in order to maximize benefits and minimize side effects. These methods herald the arrival of "personalized medicine," in which medications and treatment combinations are tailored to the specific genetic composition of each patient. The whole genome application of pharmacogenetics, which studies the relationships between single genes and medications, is called pharmacogenomics.[1]

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Phamarmacogenomic,pharmacogenetics, pharmacognosy,polymorphism,omics,therapy,medicines,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The diagnosis of brain tumours depends on the early detection of these disorders by magnetic resonance imaging (MRI) scans. While there are other imaging modalities used to diagnose brain tumours, magnetic resonance imaging (MRI) is the method of choice because of its higher image quality Finding brain tumours early on in the imaging process is essential for prompt diagnosis and treatment. Tumour diagnosis in medical imaging can now be done more accurately and efficiently because to deep learning, especially transfer learning. This paper offers a thorough examination of the many deep transfer learning models used to detect brain tumours, including an analysis of their architectures, methods, and performance assessments. This survey delves into the development of transfer learning approaches in this field, emphasising the use of pre-trained models, domain adaptation, fine-tuning procedures, and group methodologies. It also clarifies the many datasets that are utilised for testing and training, as well as the difficulties and potential paths for this discipline going forward. This review's comparative analysis attempts to enhance the development of reliable and accurate diagnostic tools in clinical practice by providing insights into the benefits, drawbacks, and future developments of deep transfer learning models for brain tumour diagnosis.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Brain tumors, magnetic resonance imaging, deep learning, and transfer learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In Last Man in Tower by Aravind Adiga, memory and place attachment are central themes that shape the narrative, influencing characters' identities, relationships, and their reactions to change. The novel uses Vishram Society, an old but cherished housing cooperative in Mumbai, as a symbol of this deep connection between memory and place. Vishram Society is not just a building; it is a space imbued with decades of memories for its residents. For Masterji, the protagonist, the building represents stability, community, and the life he shared with his late wife and daughter. His attachment to the place is rooted in the emotional and historical significance it holds, making it impossible for him to part with it, despite the lucrative offer from Dharmen Shah. The article tries to explore the connection of memory and place attachment in the selected work.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Memory, Place Attachment, Relationship, Conflict

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Good policy of any company on corporate governance is to create higher accountability, transparency and integrity. Corporate governance includes those policies that lead to increase the faith of the stakeholders in particular company. Corporate Governance protect interest of various stakeholders like share holders, creditors, employees etc. The main objective of the paper is to analyse the impact of corporate governance and investors' protection measures on financial performance of selected companies. The researcher has analysed annual reports of selected companies to understand the impact of corporate governance and investors' protection measures on financial performance. Various ratios like Return on equity (ROE), Return on Assets (ROA) and Earnings per share (EPS) Graded Surveillance Measure (GSM) companies and Non-GSM companies have been analysed. The good corporate governance and investors' protection measures built confidence of existing as well as potential investors. The potential of the companies is based on the graded surveillance measure to overcome the situation of the company's financial status as well as the proclaim of the marketing solution and diligence of the financial performance of the investors to secure of their anti-inflationary situations in the observation of the various data findings.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Corporate governance, Investors' Protection measures, Financial Performance, Stakeholders, investors' Interest, GSM (Graded Surveillance Measure), ROA, ROE, EPS

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Common oral cavity cystic lesions are called mucoceles. that most commonly occur in the lower lip, floor of the mouth, and buccal mucosa. They can be caused by damage to or blockage of the oral mucosa's small salivary gland ducts. On the other hand, mucoceles that originate from the salivary glands located anteriorly lingually and are incredibly rare. and found on the tongue's ventral surface and are frequently overlooked during screening processes because they don't cause any symptoms. The following article describes a fascinating instance of mucocele in a male patient, age seven, on the anterior ventral surface of the tongue The review of the literature describes the different kinds of mucocele, as well as its pathogenesis, differential diagnosis , epidemiology, and available treatment options.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cyst; Salivary gland; MRI, Mucocele

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dairy enterprise is considered a "treasure" of the Indian economy, particularly for rural systems. It provides nutrition, animal power, organic manure, supplementary income, employment, cash income, and a ,,cushion" for the Indian economy. The sector involves millions of poor farmers, for whom animal ownership ensures critical livelihood, sustainable farming, and economic stability. Dairying in the recent decades has been considered a vital component in the diversification of Indian agriculture, where crop farming is best with stagnating growth and low absorption of unskilled agricultural labourers. In order to alleviate the problem of unemployment or under-employment and to maintain domestic tranquillity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

dairy farmers, socio economic conditions, Amul organic manure,Unemployment

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract-- Groundwater is a crucial resource for sustaining agricultural, industrial, and domestic water needs, particularly in regions facing water scarcity. Predicting groundwater levels accurately is vital for effective water resource management and sustainable development. This study explores the application of the Adaptive Neuro-Fuzzy Inference System (ANFIS) for predicting groundwater levels. ANFIS combines the learning ability of artificial neural networks with the reasoning capability of fuzzy logic, making it well-suited for complex, nonlinear systems like groundwater. The model was trained using historical groundwater data, including precipitation, temperature, and previous water levels as inputs. Performance of the ANFIS model was evaluated using various statistical metrics, showing a high degree of accuracy compared to traditional methods. The results indicate that ANFIS can effectively capture the complex dynamics of groundwater systems, offering a reliable tool for water resource planners and environmental engineers to forecast groundwater levels and make informed management decisions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords--Groundwater,adaptive,Neuro-Fuzzy,Inference System Modeling,Hydrology,Artificial Intelligence,ANFIS,Wter Resources,Forecasting Machine Learning.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This literature review examines the key factors influencing consumers' decisions to purchase insurance policies. It synthesizes research on demographic, economic, social, psychological, and product-specific factors that shape insurance behavior. The review highlights theories such as the Theory of Planned Behavior and Protection Motivation Theory, alongside insights from behavioral economics, like loss aversion, to explain consumer motivations. It also explores the impact of digital platforms on consumer decision-making and how technological advancements have reshaped the insurance market. By understanding these diverse factors, insurers can better tailor their products and marketing strategies to meet consumer needs, ultimately improving engagement and policy acquisition in a competitive and evolving marketplace.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Consumer Behavior, Insurance Policy, Purchase Decisions, Risk Perception, Demographic Factors.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The study looks into the connection between college students' emotional intelligence (EI) and personality qualities and simultaneously examines how characteristics like extraversion, agreeableness, conscientiousness, neuroticism, and openness each affect emotional intelligence (EI). A sample of 65 participants (31 males and 35 females), aged 18-25, was analyzed using the short Big Five Personality Inventory and the Emotional Intelligence Scale. The data indicates that neuroticism and emotional intelligence are inversely associated, but conscientiousness, agreeableness, openness, and extraversion are significantly positively related. The most significant beneficial impact on EI was seen in extraversion, indicating that more sociable people had greater emotional control. High neuroticism, on the other hand, is associated with inferior emotional intelligence, suggesting that emotional instability hinders emotional comprehension and regulation. The significance of emotional stability and sociability in augmenting emotional intelligence is shown by these findings, which also illustrate the influence of personality on emotional intelligence.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emotional intelligence, Personality, Young Adults

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Background: Prolonged exposure to whole-body vibration (WBV) is a significant risk factor for musculoskeletal disorders (MSDs), necessitating effective and accessible methods for WBV measurement and analysis. Objective: This study aims to design and validate a cost-effective, Arduino-based multi-channel vibration analysis system for assessing WBV exposure across multiple body regions. Methods: A prototype system was developed using ADXL-345 accelerometers and an Arduino Uno microcontroller, emphasizing affordability and user-friendliness. The system integrates seven accelerometers to capture multi-segmental WBV data, enabling the analysis of vibration transmission across different body regions. Data is stored locally on an SD card or transmitted wirelessly via Wi-Fi for further evaluation. Results: The developed system effectively recorded and stored comprehensive WBV data, enabling detailed analysis of vibration exposure patterns. The findings revealed that the peak vibration transmissibility across body regions predominantly occurred within the 4 Hz to 8 Hz frequency range, a critical range associated with resonance effects in human tissues. Conclusion: This study introduces a low-cost, user-friendly tool for WBV assessment, addressing an essential gap in occupational health research and practice. Its affordability and adaptability make it highly suitable for diverse applications, including workplace risk assessment and epidemiological studies.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arduino Based, Body Segmental, Cost Effective, Multi-Channel, Vibration Transmissibility, Whole-Body Vibration.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ayurveda, the ancient Indian system of medicine, emphasizes holistic health and well-being through balancing the body's Doshas (biological energies), enhancing Agni (digestive fire), and eliminating Ama (metabolic toxins). Amavata, akin to Rheumatoid Arthritis, is characterized by the accumulation of Ama and the aggravation of Vata Dosha, leading to symptoms such as joint pain, swelling, stiffness, and systemic disturbances. This interventional study investigates the combined effect of Truptighna Mahakashaya Gana Kashaya (herbal decoction), Simhanada Guggulu, and Valuka Sweda (sand fomentation) in managing Amavata. The study enrolled 30 patients diagnosed with Amavata and monitored over 22 days with baseline and post-intervention assessments. The selected interventions target multiple aspects of the disease: Truptighna Mahakashaya Gana Kashaya aids in digestive enhancement and Ama-pachana (toxin digestion); Simhanada Guggulu provides anti-inflammatory, detoxifying, and Vata-balancing effects; while Valuka Sweda promotes symptomatic relief by improving circulation, alleviating stiffness, and reducing pain. Outcomes were measured using clinical assessments and laboratory parameters like ESR and CRP. The results demonstrated a significant decrease in inflammatory symptoms,pain, and improvement in joint functionality, with marked reductions in inflammatory markers. This study supports the efficacy of integrating internal medications with external therapies in Ayurveda for managing chronic inflammatory conditions like Amavata.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Amavata, Truptighna Mahakashaya Gana Kashaya, Simhanada Guggulu, Valuka Sweda, Ama, Vata Dosha, Rheumatoid Arthritis,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The main purpose to have a nursery school for special children is because there are 78,64,636 numbers of special children in India and there are only 3811 numbers of special school in India. The research states that still we are not having a proper nursery school for mentally challenged children where they can learn, grow and play like other normal students. It's a high time to have a nursery school for mentally challenged children as it will be beneficial or fruitful for the owners, parents as well as for the interior designers as there are not many such nursery schools in India. The main objective of having a nursery school for special children is that it will satisfy their parents. It will also satiate the children. Owner can also get returns and can inspire other by such work. Mental satisfaction for parents.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Interior design, special children, nursery school

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Due to the future scarcity of fossil fuels and their harmful environmental effects, alternative energy sources must be explored. Wind power, a clean and sustainable natural resource, has not yet been fully harnessed in the automotive industry. Additionally, solar energy is one of the most important renewable energy sources available today. This proposed system focuses on using the Internet of Things (IoT) to monitor the performance of electric vehicle batteries. Electric vehicles rely entirely on battery energy, but the energy supplied by the battery gradually decreases, leading to performance degradation, a significant concern for battery manufacturers. Our proposed system introduces the concept of using IoT techniques to directly monitor vehicle performance. Experimental results demonstrate the system's ability to detect battery degradation. The proposed system provides an indication of the battery's voltage. To monitor these battery parameters, we have developed a data acquisition system using an Arduino-based setup. If the temperature or gas levels in the battery change, alerts will be sent to an IoT server, which will manage the operation of the electric vehicle

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Temperature, Battery, Parameter, Monitor, Gas level, Dc Motor

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The accessibility and cleanliness of public toilets play a critical role in ensuring women's overall health and well-being. This paper delves into the challenges posed by the operational hours and Sanitization standards of public restrooms, examining how these factors affect women's health, particularly during their menstrual periods. Through a synthesis of existing literature, research reports, and case studies, the paper aims to highlight gaps in current public facilities and propose actionable recommendations for improvement. This research work highlights major issue affecting both men and women lives.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

menstrual hygiene Public toilets

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

-- The design and validation of an Ethernet physical layer protocol involving the implementation of Ethernet transmitter and receiver modules with CRC operation for data integrity verification is presented in this paper. The transmitter module is responsible for performing CRC operation on the data before transmitting it to the receiver side. On the receiver side, a similar CRC operation is conducted, and the received data is compared with the transmitted data to ensure data integrity and detect any potential data loss. This process aims to validate the successful transmission of data across the Ethernet network by confirming that the received data matches the transmitted data after undergoing CRC checks. The proposed protocol enhances data reliability and integrity within Ethernet communication systems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ethernet protocol, CRC, RTL Design, Xilinx Vivado, Verilog.

  License

Creative Commons Attribution 4.0 and The Open Definition