Volume 12 | Issue 5

 Abstract

The issue of heavy metals in India due to industrial waste sludge stems from the inadequate management of toxic industrial byproducts. Rapid industrialization generates waste containing heavy metals like lead, cadmium, and mercury, which are often improperly disposed of in open dumps or water bodies. This study encompasses the industrial waste sludge collected from common effluent treatment plant at Kurkumbh MIDC in Pune, to examine presence of heavy metals in the sludge sample and further carry out the process of bioleaching. This study aims to assess the efficiency of microorganisms in removing heavy metals through bioleaching. The metals present in the sludge are Zinc, Copper, and Iron. Following the bioleaching process for 14 days, the total extraction percentages of these heavy metals were determined to be 84.33% for Zinc, 71.03% for Copper, and 25.04% for Iron. In conclusion, bioleaching stands as a promising technology for the removal of heavy metals from industrial waste sludge, offering a sustainable and eco-friendly approach to mitigate the detrimental effects of heavy metal contamination on our environment and public health.

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 Keywords

CETP sludge, Heavy metal removal, Aspergillus niger, Bioleaching.

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Bridge Monitoring

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The "Personalized Learning System" introduces a groundbreaking approach to education, merging advanced LLM techniques with interactive web technology to enrich the learning journey for students. By enabling users to input textbooks and syllabus details, the system generates customized summaries, quizzes, and answer keys tailored to individual learning requirements. Utilizing cutting-edge LLM models and implemented through the Streamlit framework, it delivers intuitive interfaces for seamless interaction. Through real-time feedback mechanisms and adaptive learning pathways, the "Personalized Learning System" empowers students to interact with educational materials dynamically, promoting deeper understanding and retention. This innovative project signifies a significant shift in traditional teaching paradigms, heralding a new era of personalized and effective learning experiences globally. By leveraging technology to cater to individual learning styles, it holds the potential to revolutionize educational practices and provide students with tailored support for optimal academic achievement.

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LLM, Streamlit, Summary generation, Quizzes, Answer Key Generation

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Green chemistry aims to design chemical products and processes that minimize the use and generation of hazardous substances. It promotes sustainability by reducing pollution, conserving resources, and enhancing efficiency. Catalysis plays a crucial role in green chemistry by enabling cleaner and more efficient chemical transformations. Catalytic processes accelerate reactions, reduce energy consumption, and minimize waste generation by promoting selective and mild conditions. This abstract highlights the importance of integrating green chemistry principles with catalysis to develop environmentally benign chemical technologies for a sustainable future

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Green chemistry, Atom economy , Catalytic processes , Role of catalysis, hazardous substance .

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Dickens' early novels are replete with pictures of a squalid London life with its dingy lanes, shabby marketplaces and choking workhouses, which together put up a veritable spectacle of suffering. They mirror forth the drawbacks of a utilitarian society and the failure of the Poor Law in saving the orphans and castaways from going astray or turning into hapless preys to criminal gangs. What emerges from these novels is the sense of an unbridgeable socio-economic hiatus existing between the solvent moneyed class and the people belonging to the lowest rung of society, people who were considered beyond redemption. Oliver Twist very subtly seeks to explode this myth by allowing Nancy, a lowly and apparently insignificant character as well as a member of the so-called criminal community, play a pivotal role in disrupting the stasis in the existing socio-economic order. Gifted with humaneness rare in a woman of her status and possessed with an improbable desire to break free from bondage, she betrays her community and extends a narrative that runs counter to the ostensible motif of the novel. This paper seeks to explore Nancy's role in dismantling the conventional social mores by problematising the term 'criminality' in the context of the 19th Century.

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Ambivalence, Community, Existential, Melodramatic, Humaneness, Discourse, Criminality, Otherness, Transgression

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Abstract: The present study focuses the financial literacy of rural and urban areas women in Erode district. In the volatile economy, financial literacy is very important role in every individuals life especially women. The low level of financial literacy cannot be able to know about the financial services provided by bank. This study reveals that with sample size of 40, rural and urban area women are how they financially strong and discriminated rural and urban women who mostly aware in traditional financial products. In this survey used primary and secondary data. The statistical tools used like percentage analysis, descriptive analysis and ANOVA.

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Key words: Financial literacy, Financial services, Traditional products, rural and urban peoples.

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Mouthwash is a water-based solution widely used for its deodorizing, refreshing, and antiseptic properties in maintaining oral hygiene. It aids in controlling plaque accumulation, a sticky amalgamation of bacteria and food particles on teeth. Oral hygiene practices encompass toothbrushing, interdental cleaners, and therapeutic agents such as mouthwash, toothpaste, and chewing gum. Mouthwashes aim to reduce microbial presence in the mouth and may comprise alcohol, glycerin, artificial sweeteners, surfactants, flavorings, and colorings. Herbal remedies have gained popularity for managing dental plaque and gum inflammation, complementing brushing and flossing. While mouthwash may have analgesic, anti-inflammatory, or antifungal effects, fluoride-containing rinses are commonly used at home to prevent tooth decay. Nevertheless, it is widely acknowledged that mouthwash does not replace the need for brushing and flossing. Mouthwashes fulfill two roles: as part of routine oral care at home and for their antibacterial properties. Pre- and post-oral surgical procedures typically involve prophylactic measures. Natural herbs like spinach, neem, and tulsi have been clinically demonstrated to be safe and effective in addressing oral health concerns such as gum bleeding, bad breath, mouth sores, and decay prevention, either singly or in combination.

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herbal mouthwash, combination cream, herbal ingredients

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This research delves into the evolving landscape of journalism specifically focusing on how virtual reality (VR) technology's transforming the way news is produced. By conducting research and analysis it delves into the effects of VR tools and methods, on various aspects of news dissemination, including audience interaction, storytelling dynamics and overall immersive experiences. The study scrutinizes the incorporation of reality (VR) in newsrooms and its impact on journalistic procedures, workflows and narrative approaches through qualitative research techniques. By assessing VRs potential to enhance storytelling skills and create connections with viewers this study provides insights into the changing landscape of modern journalism. It initially explores how VR influences news production processes, before discussing its ability to elevate storytelling techniques captivate audiences. Create journalistic experiences. For news outlets seeking to leverage VR technology this study presents guidance. Through empirical analysis and critical reflection, this thesis contributes to a nuanced understanding of VR's role in influencing the future course of news production. It also highlights how VR has the power to expand the parameters of journalistic storytelling in the digital age, opening the door to creative strategies that prioritize immersive experiences and audience participation. Scholars, practitioners, and business professionals seeking to understand and harness the revolutionary potential of VR technology in journalism will find this research a useful resource.

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Virtual reality

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In recent years, face recognition technology has proved to be the most popular method of contactless biometric system, outstanding the ones based on iris, voice and gait recognition. Smart Doorbell systems are analyzed to break up modern doorbells into generations, of which the Amazon Ring series shines for those who are open to Amazon infrastructure, and the Eufy Video Doorbell remains viable for those who prefer their data to be more local. Moreover, computers can now outperform humans in terms of many face recognition tasks particularly when it comes to searching of faces in larger databases, capturing and storing minute facial details in as minimal format as possible. A system with the ability to detect and recognize faces has many potential outcomes not just in crowded places but in home security systems as well. One such application of automating the household doorbell can not only solve the security issues but also offer extra flexibility to smart house control by recognizing the person at doorstep and announcing the name. We propose a system by making use of Raspberry-Pi with ARMv8 Cortex-A53 as the core. The project aims at porting the Open Source Computer Vision (OpenCV) library to the Raspberry-Pi board and using its pre-trained classifier Haar-Cascade and recognizer Local Binary Pattern Histogram (LBPH) for face detection and recognition purpose. Furthermore, using the Raspberry-pi accelerated command line media player, name of the person will be announced and faces unknown to the database will be captured and stored. This low-cost and low-power system will indeed prove a boon for persons with disabilities.

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CNN (Convolutional Neural Networks), Face recognition, biometric, raspberry-pi, OpenCV

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The growth of the supply chain in the pharmaceutical industry has been remarkable. Over the years, advancements in technology, globalization, regulatory requirements and improvement in road transport services have shaped the transformation of the pharmaceutical supply chain

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Supply Chain, Transport, pharmaceutical industry

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In this modern era highlighted by escalating all kind of environmental concerns, the role of advertising in promoting the idea of sustainable behaviour among customers has drawn significant attention to the world. This study investigates into the effectiveness of advertising as a tool for promoting the sustainable lifestyles, with a specific attention on the TATA Tea Jaago Reh campaign. With the help of a critically analysed examination of consumer responses and campaign stages, the following research has its aim to identify the palpable shifts in consumer behaviour towards having a sustainable lifestyle. Engaging a mixed-methods approach, this study includes qualitative analysis of consumer perceptions and quantitative judgement of campaign reach and impact. Analysing the gathered data from consumer surveys and also by evaluating the relatable case studies the study work focus on the fundamental dynamics in the effectiveness of the Jaago Reh campaign in motivating the sustainable lifestyle selection among the target audience. The findings of the following research topic are based to offer valuable and productive insights for marketers, individuals who make policies, and sustainability supporters towards shedding light on the prospective of advertising to provide as an impetus for sustainable behavioural change. By explaining and criticizing the mechanisms through which advertising can provoke consumer behaviour, this study ventures to magnify the development of future times of advertising strategies focused towards encouraging a more sustainable world.

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Advertising, Sustainable lifestyle, TATA Tea Jaago Reh Campaign

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This comprehensive report delves into the intricate process of conceptualizing, designing, fabricating, and rigorously testing a groundbreaking 3D-printed jet engine. The innovative engine, a single-stage turbojet, encompasses a meticulously crafted array of vital components including a high-efficiency compressor, a precisely engineered combustor, a robust turbine, and an optimized exhaust nozzle. Noteworthy is the axial flow design of the compressor and turbine, enhancing the engine's performance, while the annular configuration of the combustion chamber ensures efficient combustion processes. The design phase was meticulously executed using design (CAD) software, enabling the creation of intricate and precise models of each component with meticulous attention to detail. These CAD models served as the blueprint for the additive manufacturing process, where state-of-the-art 3D printing technology was employed to transform virtual designs into tangible components. The utilization of PLA (Polylactic Acid) filament as the printing material further underscored the commitment to precision and quality in the fabrication process. The successful completion of this ambitious project not only represents a significant milestone in jet engine technology but also underscores the transformative potential of additive manufacturing techniques in revolutionizing the aerospace industry, paving the way for future advancements and innovations in propulsion systems.

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CAD, Fusion360, Jet Engine, 3D Printing.

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In today's world where we continue to use technology, online reviews influence the way people view products and services. The project dives deep into sentiment analysis, using natural language processing (NLP) and machine learning tools like logistic regression and Naive Bayes to predict product quality based on user input. composition. The project creates a powerful model that can interpret the intent expressed in the message through processes such as tokenization, word removal, and feature removal. The project aims to determine whether comments have a negative impact by training logistic regression and Naive Bayes classifiers on processed data. The findings highlight the effectiveness of using NLP methods to identify products and provide insight for businesses looking to better understand public opinion.

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1. Technology 2. Online reviews 3. Sentiment analysis 4. Natural Language Processing (NLP) 5. Machine learning 6. Logistic Regression 7. Naive Bayes 8. Product quality 9. User input 10. Model creation 11. Intent interpretation 12. Tokenization 13. Word removal 14. Feature removal 15. Negative impact 16. Classifier training 17. Effectiveness 18. Product identification 19. Business insight 20. Public opinion

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The synthetic medications that have taken over the ayurvedic medical system are dangerous for both persons and the environment. Cyclea peltata, also called Padathally or Padakkizhangu, is a plant that has been identified as having pharmacological significance in several ancient Ayurvedic literature, including Gulguluthikthaka ghrita, Mahatikthaka ghrita, Thikthaka ghrita, Saraswata ghrita, and Panchagavya ghrita. It belongs to the family Menispermaceae. Every part of C. peltata is known to have medicinal advantages on its own. Leaf has antioxidant, antihyperlipidemic, hepatoprotective, antifungal and antibacterial properties. Phytochemical studies reveal that the plant contains important components such furanoline, tetrandrine, cycleanorine, cycleacurine, cycleapeltine, cycleadrine, and D-isochondrodendrine that contribute to its pharmacological properties. The purpose of the current study is to provide data on Cyclea peltatas restorative effects.

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pharmacological activities, flavanoids, Menispermaceae, Cyclea Peltata.

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In India, pottery making dates back countless years. The first group to disengage from food production and engage in a full-time profession was likely the group of potters, who were also likely the first engineers in the history of human civilisation. Along with the ability to control fire, the potter's wheel was a revolutionary technology that had a significant impact on how humans evolved. The traditional potters have historically been among the most under privileged groups in Indian culture. This is a kind of human creation which is as old as human civilization .

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; pottery ,problems, ,kusava, ,ceramic, dropout

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Background: Research on COVID-19 acute phase reactants is still important today since it helps with early diagnosis, determining the severity of the illness, and assessing the efficacy of treatment. Critical information about the course and prognosis of the disease can be gained by analyzing the inflammatory response using acute phase reactants such as serum amyloid Acute phase proteins and C-reactive protein. Severe outcomes in COVID-19 individuals have been associated with higher acute phase reactants, lymphopenia, and neutrophil counts. By keeping an eye on these indicators, medical staff can enhance patient care, more efficiently use resources, and possibly even identify patients who are more likely to experience difficulties. All of these things can lead to better clinical outcomes and public health initiatives. Method: The study analyzed data from 200 hospitalized COVID-19 patients at an academic tertiary care hospital between August 2020 and June 2022. It focused on investigating various blood parameters, including C-reactive protein, ferritin, lactate dehydrogenase, erythrocyte sedimentation rate (ESR), procalcitonin, and albumin. Inclusion criteria comprised patients with positive COVID-19 RT-PCR results and complete lab records, while exclusion criteria included negative RT-PCR results, incomplete records, hospital stays less than one week, and patient transfers. Result: In our study of 200 hospitalized COVID-19 patients, C-reactive protein (CRP) levels were elevated in 179 (89.5%) patients, with 147 (90.74%) in wards and 32 (84.21%) in ICU. Procalcitonin levels were elevated in 51 (51.51%) patients overall, with 29 (40.85%) in wards and 22 (78.57%) in ICU. Ferritin levels were elevated in 94 (46.5%) patients, with 65 (40.12%) in wards and 28 (73.69%) in ICU. Elevated lactate dehydrogenase (LDH) was found in 110 (55%) patients, with 83 (51.23%) in wards and 27 (71.05%) in ICU. Erythrocyte sedimentation rate (ESR) was high in 128 (64%) patients, with 102 (62.96%) in wards and 26 (68.42%) in ICU. Decreased albumin levels were observed in 44 patients, with 24 (14.82%) in wards and 20 (52.63%) in ICU. Conclusion: Acute phase reactants like CRP, procalcitonin, ferritin, LDH, ESR, and albumin significantly influence COVID-19 progression, severity, and prognosis. Elevated CRP, procalcitonin, ferritin, LDH, ESR, and decreased albumin levels are strongly linked to disease severity and mortality. ICU patients exhibit more pronounced alterations in these markers compared to ward patients, aiding in severity prediction. Increased alterations in acute phase reactants are observed in deceased patients versus recovered ones, facilitating progression and prognosis prediction. Testing for these markers upon hospital admission in suspected or confirmed COVID-19 cases offers valuable prognostic insights. Utilizing acute phase reactants as predictive measures can enhance clinical management in COVID-19 patients. Keywords: COVID 19; Acute phase reactants; ICU; C Reactive Protein; Ferritin; Procalcitonin; LDH; ESR

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COVID 19; Acute phase reactants; ICU; C Reactive Protein; Ferritin; Procalcitonin; LDH; ESR

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 Abstract

Inventory Management have significant influence in Aromatic Industry. The paper briefly discusses the impact of inventory management in the manufacturing company. The paper, with an aim of understanding the potential and practical implications of inventory management techniques and tools in the organization. Through a comprehensive review and analysis of existing literature, this paper examines various inventory management techniques and inventory optimization models. The study employees both descriptive and analytical approaches. The statistical tool considered to measure the significance is chi-square test method will be employed to test the significance.

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Inventory management, inventory management techniques, turnover ratio

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This project entails the development of a robust data pipeline for OLX data leveraging Python. The pipeline employs web scraping techniques or OLX APIs for data extraction, followed by meticulous data transformation in Python to ensure data integrity and relevance. The processed data is stored in a chosen repository, utilizing Python libraries and frameworks for seamless integration. Automation and scheduling are implemented using Python-scripts. The pipeline incorporates error-handling mechanisms, and data quality checks are enforced throughout the process. The Python-based pipeline not only provides an efficient and scalable solution for handling OLX data but also facilitates easy integration with popular analytics tools, empowering users to derive actionable insights for strategic decision-making. The OLX Data Pipeline ensures a systematic and efficient processing of JSON-encoded data, laying the groundwork for insightful analytics and informed decision-making based on the structured information within OLX listings.

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Data Pipeline, OLX, Python, Web Scraping, APIs, Data Extraction, Data Transformation,Data Integrity,Data Relevance,Data Storage, Repository, Integration ,Automation, Scheduling, Error Handling, Data Quality, Analytics Tools, Scalability, Efficiency, JSON-Encoding, Structured Data Processing, Decision-Making

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Introduction: Shareera is composed of Dosha, Dhatu and Mala. Dhatus are the entities which supports our body and helps in performing proper physiological functions. Asthi is one among the Sapta Dhatu, which mainly involves in Shareera Dharana function. Asthi Dhatu is located in its Srotas as well as in the whole body. Moolasthana of Asthivaha Srotas is Meda and Jaghana. Aims and Objectives: To understand the Asthi Dhatu and Asthivaha Srotas and its possible physiological interpretations. Materials and Method: Literature searches were conducted using classical text in Ayurveda, contemporary books, articles and many others. Discussion and conclusion: Asthi Dhatu plays a vital role in maintaining the physical integrity of the body. The possible interpretation of the Moolasthana of Asthivaha Srotas can be understood as fat or bone marrow adipose tissue and pelvic bone.

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Asthi, Asthi Dhatu, Asthivaha Srotas

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A smart plant monitoring system is designed to provide comprehensive monitoring and management of plants in various environments, such as agriculture, horticulture, or indoor gardening. This system leverages advanced technologies like Internet of Things (IoT), sensors, data analytics, and machine learning to optimize plant growth, conserve resources, and enhance productivity. Here's a detailed abstract outlining the components and functionalities of such a system: Sensor Network: The backbone of the smart plant monitoring system is a network of sensors deployed within the plant environment. These sensors measure various parameters critical to plant health and growth, including soil moisture, temperature, humidity, light intensity, pH levels, and nutrient levels. Data Acquisition and Transmission: Sensor data is collected at regular intervals and transmitted to a central control system or cloud platform using wireless communication protocols such as Wi-Fi, Bluetooth, or LoRaWAN. This ensures real-time monitoring and enables remote access to the data from anywhere with an internet connection. Data Processing and Analysis: Upon receiving the sensor data, the system processes it using data analytics techniques to derive meaningful insights. Machine learning algorithms may be employed to analyze historical data patterns, predict future trends, detect anomalies, and recommend optimal plant care strategies. Monitoring and Control: The system provides users with a user-friendly interface, typically accessible through a web or mobile application, to monitor the status of their plants in real- time. Users can view sensor readings, receive alerts for abnormal conditions such as water scarcity or pest infestation, and remotely control connected devices like irrigation systems or grow lights. Automation: Smart plant monitoring systems often incorporate automation features to streamline plant care tasks. For example, based on predefined thresholds and algorithms, the system can automatically adjust watering schedules, regulate environmental conditions, and administer nutrient supplements, reducing manual intervention and ensuring consistent plant care. Integration with External Systems: To enhance functionality and interoperability, the smart plant monitoring system may integrate with external systems and databases. This could include weather forecasting services, soil databases, plant databases, and agricultural advisory platforms, enriching the analysis and recommendations provided to users.Scalability and Customization: The system is designed to be scalable to accommodate varying plant sizes and cultivation setups, from small home gardens to large-scale agricultural operations. Additionally, users may have the flexibility to customize settings and preferences according to their specific plant species, growth stage, and environmental conditions. Benefits: By continuously monitoring and optimizing plant conditions, a smart plant monitoring system offers several benefits, including improved crop yields, resource efficiency (such as water and energy conservation), reduced labor costs, early detection of diseases and pests, and overall sustainability in agriculture and gardening practices .In summary, a smart plant monitoring system integrates sensor technology, data analytics, and automation to revolutionize plant care, enabling users to cultivate healthier plants with greater efficiency and precision.

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 Keywords

Internet of Things, machine learning, data analytics.

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Creative Commons Attribution 4.0 and The Open Definition