Volume 11 | Issue 12

 Abstract

This study offers information on several Solid Waste Management (SWM) models that can help the leather industries in different place deal with the rates of solid waste generation and reorganize management strategies. To efficiently and economically collect and recycle various waste types, creative methods should be used. Waste should be recycled using efficient treatment techniques as opposed to being dumped in landfills or burned outdoors in order to recover valuable materials and reduce the negative effects on human health. These wastes have the potential to pollute the ecosystem and negatively impact both human and animal health if they are released into the environment without following the correct leather wastes procedures. Since leather industrial wastes are unused and untreated, they are typically disposed of by burning, dumping, or haphazard land filling, according to most reports. Because these untreated wastes produce more greenhouse gases, they exacerbate various climate change issues. The objectives of this paper are to prevent or minimize leather solid waste, safeguard human health, preserve natural resources and energy, and clean up garbage when necessary.

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Industrial Wastes, Economic & Ecological Analysis, ISWM

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A self-learning disease detection model will be useful for identifying COVID-19, suspected individuals using chest X-rays, and other skin disorders using skin images of infected patients. To detect COVID-19 and skin diseases, some AI-based bio-inspired models employ chest X-rays and skin images. Skin infection is a common problem that we are currently facing due to various reasons, such as food, water, environmental factors, and many others. Skin infections such as psoriasis, skin cancer, monkeypox, and tomato flu, among others, have a lower death rate but a significant impact on quality of life. Neural Networks (NNs) and Swarm intelligence (SI) are approaches for skin disease diagnosis and classification through image processing. In this study, we discuss the many techniques that have been applied in the past for preprocessing, segmentation, feature extraction, and classification of several diseases. After comparing several approaches, we developed a new modeling framework for disease detection and classification through bioinspired machine-learning techniques will produce a more accurate results.

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Image processing; Bioinspired Machine Learning (Bio-ML); Neural Networks; Swarm intelligence; Biomedical imaging

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In the dynamic field of cybersecurity, network operators and administrators grapple with the growing challenge of protecting systems against sophisticated cyber threats. This study investigates the transformative potential of Big Data Analytics (BDA) tools in enhancing network security operations. By applying BDA to areas such as threat detection, vulnerability analysis, incident response, and security intelligence, this paper highlights the benefits for network professionals. As digital networks become more integral, the article proposes a comprehensive approach using BDA tools to fortify cybersecurity. The study aims to provide insights for proactive threat detection, rapid incident response, and overall system optimization, empowering operators to navigate the evolving cyber threat landscape with confidence. The study also explores practical applications of big data analytics in various cybersecurity solutions, showcasing real-life case studies in network detection, endpoint detection, continuous threat detection, and beyond.

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BDA, Cyber defense, EDR, Anomaly Based Systems, AIML

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Maintaining the attendance of every individual in any organization like an educational institution or corporate workplace is an essential component. Traditionally, attendance systems relied on manual methods such as paper-based sign-in sheets or manual entry into spreadsheets, which were time-consuming, and prone to errors. Our prototype provides a practical approach to solving this problem with modern technology by using the method of Radio Frequency Identification (RFID) as it is a reliable, efficient, simple design, and low cost.

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manual entry, Radio Frequency Identification (RFID), reliable, efficient, simple design, low cost.

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This case study explores the profound contrast between modernized life centers and those rooted in traditional culture, customs, and lifestyles. Examining distinct aspects such as technology integration, social structures, and value systems, it delves into how the evolution towards modernization shapes and, in some cases, challenges the foundations of traditional communities. The study aims to provide insights into the dynamics of cultural transformation and the implications for individuals and societies navigating the intersection of tradition and modernity. The transition from traditional to modernization brings about significant lifestyle changes in life centers. Traditional societies often revolve around agrarian practices, close-knit communities, and time-honored customs. With modernization, there's a shift towards urbanization, technological integration, and a more dynamic social structure. Understanding these lifestyle changes is crucial for addressing the challenges and opportunities that arise during the process of modernization, ensuring a balanced integration of new practices while preserving the richness of traditional heritage.

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Lifestyle, Modernization, Life centers, Culture

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Acharya Charak, Sushruta & WHO definitions all gives so much importance to Mental health as well as physical health. Dhee, Dhriti and Smriti are types of Pragya (Wisdom). The term Dhee is derived /Intelligence). Dhee is the power of reasoning and provides the discriminative power of intellect 'Tatkaliki gyeya' and thus the ability of correct judgement 'Nishchayatmika' is obtained. It is responsible for real perception of knowledge. Dhee is one by which knowledge is obtained. It is considered as the causative factor for all the activities of the person. Dhee is responsible for conclusive knowledge. According to chakrapani dhee gives an initiation to work and to come to final conclusion after proper analysis. This has been stated by Dalhana, which means coming to final conclusion after proper reasoning and logic, is by means of dhee only. Kushmanda (bennincasa hispida), commonly known as petha is a medicinal herb used in many diseases. Ayurveda text describes kushmanda as Cheto-vikaraghna which means it is useful in mental disorders. It works as Medhya Dravya as described in Priya Nighantu. Kushmanda as an herb is loaded with Multiple benefits, hassle free, easily available, Side-effect free, and risk-free qualities and can be a very good and comparatively cost effective Cheaper mental health improver for children.

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Kushmanda, Sharkar, Dhee, Buddhi, Medhya

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This review explores the transformative impact of sensor technologies in early disease detection. It highlights recent advancements in nanotechnology-based sensors, particularly focusing on their applications in identifying disease biomarkers at early stages. The integration of these sensors with artificial intelligence for predictive analytics in healthcare is also discussed. Applications in cancer, infectious diseases, and chronic disease management underscore their diverse utility. Challenges in sensor technology adoption and future directions, including multiplexed sensors and wearable devices, are examined. This review underscores sensors' potential in enhancing disease management and patient outcomes.

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Cancer, Carbon nanotube, Sensors, Health sector, Environmental impact.

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Introduction : Breastfeeding remains the simplest, healthiest and least expensive feeding method that fulfils the baby's needs. Approximately two days after giving birth the women's breasts fill with milk, which is a normal process. This makes the breast heavy and swollen but under normal circumstances this should not be painful and hard. Breast engorgement develops in 72% to 85% in postnatal mothers. It is a painful, unpleasant condition affecting large number of mothers during the early postpartum. During this time when mothers are coping with demands of the baby it may be particularly distressing. Breast engorgement quenches the development of successful breast feeding, leading to early breastfeeding cessation and is associated with more serious illness including breast infection.Methodology : The conceptual frame work used in this study was Ernestine Wiedenbach's helping art of Clinical Nursing. A Quantitative Evaluative approach using Quasi-Experimental -Pre-test - Post-test control group design was used. The study was conducted at two selected hospitals, Non- Probability Sampling technique was used to select 50 postnatal mothers, as 25 for experimental group and 25 for control group. The intervention, Reverse Pressure Softening Technique was given to experimental group. The intervention was given thrice a day for three days, 2nd to 4th postnatal day, for a duration of 30 seconds per intervention. The control group did not receive any intervention. The pre-test and post-test was done by using the standardized Six-Point breast Engorgement Scale and LATCHES Breast Assessment Tool was used to assess the level of breast engorgement and breastfeeding among postnatal mothers. Result: The collected data were analyzed by using both descriptive and inferential statistical methods. Unpaired 't' test was used to was to evaluate the effectiveness of reverse pressure softening technique on level of breast engorgement and breast feeding among postnatal mothers in experimental group and control group. The obtained post-test 't' value 26.93 on level of breast engorgement and 3.22 on level of breastfeeding was significant at p< 0.05 level. Conclusion: The findings of the study revealed that there was a significant difference in the post test level of breast engorgement and breast feeding among postnatal mothers in experimental and control group. The study concluded that Reverse Pressure Softening (RPS) technique is effective in reducing the level of breast engorgement and improving breast feeding among postnatal mothers.

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Evaluate, Effectiveness, Reverse Pressure Softening Technique, Postnatal mothers, Breast Engorgement, Breastfeeding

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Abstract:- The Ethanolic Extract of Calotropis Gigantea Linn. ( Family of Apocynaceae) Flower were tested for Wound Healing Activity in Healthy Wister albino rats using Wound Healing Evaluation Parameters Skin irritation test, Measurement of Wound Contraction and Epithelialization Period, Measurement of Tensile. Strength Statistic healing activity by using Incision model and Excision model. The dose of extract ointment 2% and 5% was applied for 10 days. The result of ethanolic extract of calotropi sgigentea linn possess the wound healing activity as evidenced by its significant effects by Excision wound and Incision wound in Rats

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Wound, providon iodine, ointment, herbal medicinal

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Orally dispersible/disintegrating tablets, oro-dispersible films, medicated gels and jellies, medicated chocolate, freeze-dried wafers, and medicated chewing gums are some examples of oro-dispersible dosage forms. To create ODDS, a variety of methods are employed, including solvent casting, heating and congealing, sublimation, tablet molding, spray drying, and freeze drying, direct compression. The main benefits of ODDS are its quick start of action, lack of water requirement for swallowing, higher rate of dissolving, enhanced bioavailability, ease of use for patients and compliance, commercial viability and uniqueness of offering. Various drug categories, such as NSAIDs, phosphodisasterase enzymes, antiemetics, antimigranes, and antipsychotics are administered by the use of an orodispersible drug delivery system. Due to ODDS's ability to be swallowed without the need for water, its beneficiaries include busy persons, psychiatric patients, elderly and pediatric patients, and immobile patients. The review article focuses on drug category, key ingredient, method of preparation and properties of ODDS.

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ODDS, ODT, ODF, Medicated Jelly , Medicated Chocolate, Bioavailability , Paediatric, Geriatric.

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Abstract: In the field of education, the development and generation of question papers play a crucial role in assessing students' knowledge and understanding of various subjects. Traditional methods of question paper generation are often time-consuming and may not fully optimize the assessment process. This paper introduces an innovative approach to question paper generation, leveraging the power of Artificial Intelligence (AI) and Natural Language Processing (NLP) techniques. Our research focuses on the utilization of AI algorithms and NLP models to automate and enhance the question paper generation process. We propose a system that can intelligently extract key concepts and learning objectives from educational materials, textbooks, and curriculum guidelines. These extracted insights are then used to create a diverse set of questions, spanning different levels of difficulty and cognitive skills, ensuring a comprehensive assessment of students' knowledge. The AI-enhanced question paper generation system is designed to adapt to different educational levels and subjects, making it a versatile tool for educators and institutions. The system also offers the flexibility to customize question papers based on specific preferences and requirements.

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Artificial Intelligence, Natural Language Processing, Natural language tool kit, Blooms Taxonomy Algorithm, Supervised Learning, Random Algorithm.

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August Wilson's Piano Lesson (1987) is a play about the social life of a broken Afro-American. A family in Pittsburg - a city in Pennsylvania - that immigrated from the South. Grandparents of the family, who were slaves on a southern plantation, broke up and traded for a piano. This shocking event causes generational trauma and other traumatic events for the family when they bring the piano. This study investigates the play through the lens of literary trauma theory. This study can show that trauma or historical trauma and posttraumatic stress disorder (PTSD) for the African Americans.

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Afro- Americans, Trauma Theory, Post colonialism and Racism.

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Marma is vital point in the body. Complete number of marmas is 107. Sushrutacharya have made sense of idea of marma in Sushrut Samhita Sharirsthan sixth adhyaya. Aacharya Sushrut has referenced a scope of marma. The course of action depends on four sorts by Sushrutacharya. It is given as marmaprakar (sorts of marma) according to Shadanga, Rachana, Parinam and Pariman. Rachanatmak (Underlying) arrangement of marma depends on five essentials as Mansa, Sira, Snayu, Asthi and Sandhi. As per the essential importance of marma according to Sushrutacharya, the marma is the site where mansa, sira, snayu, asthi and sandhi are altogether present. Indrabasti marma is available in the urdhwashakha (Furthest point) as well as in adhoshakha (Lower limit). In lower limit, it is available at the point, center of the line, joining the back surface of Calcaneus with the focal point of the poppliteal fossa. In this way, it is imperative to see the fundamental designs according to the meaning of marma given by Sushrut acharya with the assistance of cadaveric analyzation technique. So, this can in mark of truth distinguishes the cutting-edge association of these five essential designs. Ayurveda is been polished in India for no less than 5000 years, yet in present time it turning out to be more well known in entire world because of its comprehensive methodology. Its worthiness has opened another skyline which thus has made it impulse to investigate the Ayurvedic hypotheses based on the simultaneous information in logical wording to additional upgrade its utility and agreeableness. In the old time the information on Marma Vigyana was utilized in different fields like military craftsmanship, medical procedure, for guess of illnesses and furthermore for the therapy. In any case, in present situation this information isn't rehearsed broadly and it is saved exclusively in little ethnic gathering. Thus, it is important to investigate this information based on present day clinical science to contribute most elevated in this field.

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Sharirsthan, Vigyana, hypotheses, adhoshakha, Parinam.

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In Ayurveda, the term Marma is a delegate of weak regions in the body. Injury to these designs either by injury or by sickness condition might cause a changed situation going from Ruja to even passing. The information on Marma traces all the way back to Vedic period. The references of 107 Marma, its order, area, aspect, effect of injury and so forth are accessible in the writing of Ayurveda. They are grouped based on structure, locale, forecast, aspect and number. Vitapa is Adhoshakagata Vaikalyakara Marma of 1 Anguli Pramana. Sushruta assessment Vitapa as Snayu Marma while Vagbhata notice it as Sira Marma. Its area, Pramana, primary part and Viddha Lakshana are referenced in gross. The physical designs connected with VitapaMarma are not referenced regarding its Pramana and Viddha Lakshana. There is a need to comprehend physical part of VitapaMarma based on clear data accessible from old style texts. To satisfy the previously mentioned needs the calculated examination in regards to Vitapa Marma is required. Generally, depiction has been found in Sushruta Samhita in regards to counteraction perspective while carrying out Procedure or making a cut. Vitapa Marma is portrayed as a Snayu Marma by Acharya Sushruta and Sira Marma by Vagbhata. What's more, both have thought about it under Vaikalyakara Marma. According to Ayurveda works of art, Vitapa Marma is arranged among Vankshan and Vrushana and its Viddha Lakshan is impotency. Structure present as of now is the inguinal trench. Numerous significant designs go through the inguinal trench. Principal clinical significance of Inguinal Channel connects with inguinal Hernia. Injury at this Specific point during a medical procedure or any injury by implication influences the conceptive framework and may cause sterility which is like Viddha Lakshana of Vitapa Marma.

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Marma, Snayu, Vagbhata, Viddha, Injury.

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Nature has been so kind to man since man has recognized his existence on this blue planet. To use Wordsworth's words we can say that nature has been a spirit, a guardian, and the anchor of man's purest thoughts. Ever since its appearance on the earth's surface, he has been dependent on nature for his subsistence He needed edible plants and animals. In the initial stages of the history of economic development man identified these natural gifts available around him and he acquired knowledge to use them Everything that comes from nature has some utility for man but its utilization is possible on the availability of appropriate technology. Although natural products existed over the earth's surface even during pre-historic times, man had neither the tools nor the technology to use them, man: Land sunshine, wind, forests, and sites were present in such before the appearance of man on the earth With time he learned to cute the land, grow crops by protecting different plants, and run the wild and water mills by using the wind and water energy 50, we can say that the enormous variety of natural resources on this earth provide everything for the survival of man. Even though, the pre-historic man led a life of hunter and gatherer procuring each and everything for his survival from the forests. Not only this, as Fitzgerald observes:

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Climate Change in Present Scenario

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The imperative shift towards sustainability in the construction and operation of academic libraries is crucial for several reasons. First and foremost, academic libraries are central to the dissemination of knowledge, and by adopting sustainable practices, they contribute significantly to fostering environmental consciousness among students, faculty, and the broader community. The importance of this study lies in recognizing academic libraries as influential players in promoting a sustainable and eco-friendly ethos within educational institutions. Additionally, the study addresses the pressing need to tailor sustainability strategies to the unique challenges and opportunities faced by university libraries in Assam, thus emphasizing the regional relevance and impact of the research. This study stands out for its originality in addressing the intersection of sustainability, academic libraries, and the specific regional context of Assam. While existing research has explored sustainability in libraries globally, the originality of this study lies in its focus on a region characterized by distinct challenges and opportunities. The research delves into the unique socio-economic and infrastructural factors that influence the adoption of sustainable practices in academic libraries in Assam. By doing so, it fills a critical gap in the literature by providing region-specific insights and recommendations that are both innovative and relevant to the local academic landscape. The anticipated outcome of this study is the development of a comprehensive and actionable "Green Blueprint" tailored to the specific needs and constraints of university libraries in Assam. The study aims to provide practical strategies and recommendations that can be implemented to enhance sustainability in library construction and operations. By identifying successful case studies and best practices, the research aims to inspire positive changes within the academic library sector in the region. The ultimate goal is to empower library administrators, policymakers, and other stakeholders with the knowledge and tools needed to create and maintain eco-friendly academic libraries that contribute to both local and global sustainability goals.

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Green library, Sustainable Design, Renewable Energy, Eco-Friendly Practices, Assam, Academic Library.

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The paper begins by providing a comprehensive analysis of AR-based healthcare applications, including wearable access, telemedicine, remote surgery, and diagnosis of medical reports. These applications aim to improve patient care, increase efficiency, and reduce costs. The study also addresses current challenges, such as user satisfaction, convenient prototypes, service availability, and maintenance costs.

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Augmented Reality, Telemedicine ,Convenient Prototypes, Wearable Access

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In response to the inherent volatility and complexity of financial markets, predicting stock prices using machine learning (ML) has garnered growing interest. While traditional methods primarily rely on historical data and economic indicators, ML algorithms offer the distinct advantage of analyzing immense datasets, identifying hidden patterns, and generating more informed predictions. This research delves into the efficacy of various ML techniques in forecasting stock price fluctuations. We juxtapose the performance of diverse models, encompassing Support Vector Machines (SVM), Long Short-Term Memory (LSTM) networks, and ensemble methods, utilizing real-world stock data. Our analysis scrutinizes the influence of various features and model parameters on prediction accuracy, shedding light on the strengths and limitations of each approach. Additionally, we delve into the challenges associated with stock prediction using ML, encompassing data preprocessing, feature engineering, and overfitting. The findings aim to enrich the ongoing research in this domain and provide valuable insights for investors and financial analysts seeking to leverage the power of ML for informed decision-making within the stock market.

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: financial markets, support vector machine (SVM), LSTM

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This technical paper explores the intricate realm of navigating the cyber threat landscape through a comprehensive examination of key elements: the Intelligence Lifecycle, Advanced Analysis Techniques, and Collaborative Defense Strategies. In an era where digital threats evolve relentlessly, understanding the Intelligence Lifecycle becomes imperative. Delving into the stages of collection, analysis, and dissemination, this study elucidates the dynamic process of gathering actionable insights. This technical paper, "Navigating the Cyber Threat Landscape," delves into the intricacies of fortifying digital ecosystems by examining the Intelligence Lifecycle, Advanced Analysis Techniques, and Collaborative Defense Strategies. In a world where the sophistication of cyber threats continues to rise, we need a cyber threat intelligence team. The paper navigates through the stages of the Intelligence Lifecycle, shedding light on the collection, analysis, and dissemination of crucial threat intelligence. This technical paper serves as a valuable resource, offering insights and strategies to fortify digital landscapes in the face of an ever-changing cyber threat landscape.

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Cyber Threat Landscape, Cyber Threat Intelligence, Cyber Threat Mitigation, Intelligence Lifecycle, Digital Threats, Cybersecurity, Threat Intelligence, Actionable Insights, Cyber Adversaries, Cybersecurity Resilience, Security Strategies, Information Security, Information Sharing, Threat Analysis

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The corporate world of today is dynamic and changing quickly. Certain characteristics of job satisfaction are constant and universal. Career happiness has been characterized in numerous behaviour. Some claim that it only refers to one's level of job satisfaction, or, more specifically, whether one enjoys the job itself or particular aspects of occupations, such as the nature of the labour or the level of supervision. Employee satisfaction is a crucial component of organisational success that boosts employee productivity. Utilising a structured questionnaire, random sampling was performed and 106 responses were collected. And results were interpreted.

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employee, welfare, work life balance, objective, compensation.

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Creative Commons Attribution 4.0 and The Open Definition