Volume 13 | Issue 4

 Abstract

To save the water

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To save water

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The Iso-Flow valve delivers improved sealing performance, extended service life, and greater reliability. The Iso-Flow valve is for vessel isolation service in high-pressure pneumatic conveying of dry ash and other abrasive materials. The Ash Handling dense phase system designed to convey large quantities of material, up to 200 TPH, over distances of 1,600m (5,200ft). The automated control system maintains constant conveying air mass flow in the pipeline at low velocities, which helps prevent plugging while minimizing abrasion, maintenance, and power consumption. With hundreds of installations globally, our Iso-Flow technology is a proven solution for continuously conveying ash from pulverized-coal boilers, and oil-fired boilers. The upgraded design improvements made to the Iso-Flow valve significantly reduce valve maintenance resulting in increased system reliability, even in the most demanding and severe-duty applications

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Ash handling system, Iso-Flow Valve, Isolation Services, Pneumatic conveying system

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cafes, customer satisfaction, food quality, pricing fairness

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Study design: A two arm randomized controlled trial (RCT) which is a clinical study design that compares the effects of one treatment (or intervention) to another treatment, often a control group or standard of care, by randomly assigning participants to either group. It includes an experimental group & a control group. Experimental Group: Who receive Homoeopathic Medicine- Calcarea carbonica in Chronic constipation. Control Group: The control group helps establish a baseline for comparison. It receives a standard treatment (allopathic mode of treatment). In this study we are comparing the effects of Standard treatment or Allopathic medications in cases of Chronic Constipation with an Experimental group which is receiving Homoeopathic medicine- Calcarea carbonica in cases of Chronic Constipation. Here, we have used the Constipation Scoring System (CSS) Scale for determining the severity of our cases. We took 30 cases of chronic constipation in children, which were divided into two groups: 15 for homoeopathic treatment and 15 for allopathic treatment. Result: We took 30 cases of chronic constipation in children, which were divided into two groups: 15 for homoeopathic treatment and 15 for allopathic treatment. In most of the cases, constipation was associated with passing stool only twice a week, along with straining to pass stool. Other symptoms found were abdominal pain, bloating, diminished appetite, fissures, hemorrhoids, and acne or pimples on the face. After the entire observation period, the outcome for the homeopathic treatment was 80%, i.e., 13 out of 15 patients were cured. The outcome for the allopathic treatment was 70%, i.e., 12 out of 15 patients were recovered. Conclusion: Cases in which homeopathic medicine is prescribed, the results are quick and faster in relief of complaints.

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Keywords: Chronic constipation, Pediatric age group, Randomized controlled trial.

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Group decision-making, whether in academic institutions, organizations, or social settings, often results in lengthy discussions and disagreements, making it difficult to reach a consensus. Traditional methods lack a structured polling system, leading to inefficiencies and participant frustration. This paper introduces VVE (Virtual Voting Environment), a digital polling platform designed to streamline decision-making through a transparent, organized, and conflict-free process. Unlike conventional debate- driven approaches, VVE allows users to cast votes on various topics, such as electing student representatives, choosing organizational leaders, planning events, or even deciding on movies and trips. The system ensures fairness and security by implementing authentication protocols, reliable vote tallying, and real-time result processing, preventing any manipulation. This paper provides a detailed overview of VVE's architecture, key features, and security measures. Experimental results demonstrate that VVE is an efficient, scalable, and innovative solution for structured decision-making across various scenarios.

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Digital polling, Virtual Voting Environment, Decision-making system, Online voting, Transparency, Fairness, Security, Authentication, Vote tallying, Real-time processing, Conflict-free polling, Scalable voting system

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Queer Desires, James Baldwin, Andre Aciman, Gothic Literature, Identity, Darkness, Emotional Confinement, Gothicism

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Cyberbullying has become a growing concern with the rise of social media platforms like Instagram, Twitter, Facebook, etc, where individuals can face harassment, threats, and abusive language. Early detection of such behavior is crucial to ensure safe and healthy online environments. This study focuses on the development of a cyberbullying detection system using Machine Learning (ML) and Natural Language Processing (NLP) techniques. The proposed model processes user-generated content from social media platforms, extracting linguistic features such as sentiment, profanity, and semantic context. Preprocessing steps include text normalization, tokenization, and stop-word removal. Various supervised ML algorithms such as Logistic Regression, Support Vector Machines (SVM), Random Forest, and deep learning models like LSTM are trained on annotated datasets containing labeled examples of bullying and non-bullying content. Performance metrics such as accuracy, precision, recall, and F1-score are used to evaluate the models. The results demonstrate that combining NLP with ML can effectively identify cyberbullying, enabling timely intervention and contributing to safer digital spaces.

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Cyberbullying, Machine Learning, Natural Language Processing (NLP), Instagram, Twitter, Facebook

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The Petition Analyser and Grievance Management System with Chatbot is an advanced platform that utilizes Natural Language Processing (NLP) and Artificial Intelligence (AI) to automate the processing, categorization, and resolution of citizen complaints. The system employs a chatbot that interacts with users in real-time, helping them file grievances and providing instant responses based on the analysis of their text. The NLP engine analyses the grievances by extracting key information, identifying sentiment, urgency, and issue categories, and automatically routing them to the appropriate departments for resolution. The chatbot also offers updates and feedback, ensuring continuous engagement with the users throughout the complaint resolution process. With advanced machine learning algorithms, the system detects trends and predicts potential future grievances, allowing authorities to act proactively. The integration of predictive analytics and real-time tracking enhances the decision-making process, ensuring faster, more accurate responses and increasing the efficiency of grievance management. This AI-powered solution ensures a more responsive, user-friendly, and efficient grievance redressal mechanism, minimizing manual intervention and enhancing transparency

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Fake petition detection, Real petition classification, NLP for verification, recurrent neural networks for analysis, Natural language processing in journalism, Text classification for Petition authenticity, Sentiment analysis in petitions

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This study examines the role of media in shaping public opinion on anti-corruption policies in India. By analyzing media coverage, public discourse, and government initiatives, the research investigates how traditional and digital media influence public perception, awareness, and engagement with anti-corruption efforts. The paper highlights key instances where media played a pivotal role in bringing corruption issues to light and mobilizing public response. It also evaluates the challenges and ethical considerations in media reporting on corruption. The study aims to provide insights into the dynamic relationship between media, governance, and public accountability in contemporary India.

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Anti-corruption ,India, Media influence ,Public opinion ,Corruption policies ,Political accountability Transparency Media and governance, Digital media ,Traditional media, Policy implementation Media watchdog

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This is innovation will be used to provide treatments (drugs) which are fresh or stale in nature. The fresh treatments can be passed on to a poor person who can utilize them in the future. This program helps the user in donating or selling unused medicines to a non-profit organization. There are three individuals that comprise this entity: the administrator, the non- governmental organization, and the user. A system administrator will login and administer users, such as removing and blocking users who are dispensing incorrect or outdated drugs. Furthermore, the administration has a consultant, just like the appointment the NGO requested. The administration gets a monthly hum of remedies that have been donated. Authorizations are utilized to register and login for non-profit organizations. They can endorse a request for appointment, which will be placed on a more appropriate and extensive list by the administrator. The standard is regulated by an NGO, which facilitates the conservation of the history of the present medicines. In case of a safety issue, an NGO may also change their PIN. Authorizations are utilized to enable users to register and log in. They can offer remedies by giving remedy information and creating demand; after this has been established by the administration and the NGO, they will schedule a date for the donation to be made. Available to consumers as well is a record of their past remedial transactions.

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Medicine, NGO, Unused

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The tribal people of Tripura has been in grapple for its political right for a long time. But due to its political agenda the issues on tribal right can't meet its end. However, the tribal people of Tripura don't loosed its hopes on gaining its right. The tribal people began to organised and form different political party in a hope that they would success in gaining their right. Despite of failure in achieving its destination the people never loosed its hope in its regional party. In this chapter their will be an analysis on the failure of the regional party and the advantage or disadvantage on the regional party. Oojah that fail the ideologies of the tribal political party. This chapter does brief on the wings that fait the rights of the tribal party. Therefore, there will be a brief discussion on has the political party play its role that they are meant to be. So has the regional political party become a part of business or has the tribal right become a part of tribal political party agenda. An issue that rise on every tribal people that vote for the change of the tribal future. Has the politics forced the leader to change its vision different question arise within the people. Analysis has been in different perspective of people thought. But the answer remain within the few people that's known as leader. However, in this chapter the discussion will remain in the vision of the tribal right that remain as a dream till date.

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compel, vision, nomad, inacquarate

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Analysis of economic impact of climatic conditions on Chhattisgarh in the context of Developed 2047@

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Analysis of economic impact of climatic conditions on Chhattisgarh in the context of Developed 2047@

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Wireless Sensor Networks (WSNs) are increasingly utilized in critical applications, making them vulnerable to various security threats, particularly black hole attacks. These attacks significantly degrade network performance by maliciously dropping all received packets. This research proposes an Enhanced Check Agent (ECA) mechanism designed to detect and mitigate black hole attacks in WSNs. The proposed method continuously monitors node behavior, verifies data forwarding integrity, and identifies anomalies in routing patterns. Through simulation and performance evaluation, the ECA demonstrates improved detection accuracy and reduced packet loss compared to traditional techniques. The approach enhances the overall reliability and security of data transmission in WSN environments.

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Black Hole Attack, Network Security, Enhanced Check Agent (ECA), Intrusion Detection, Secure Routing, Packet Dropping Attack, Node Behavior Monitoring, Data Integrity, Trust based Detection.

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This study examines customer satisfaction at Kavitha Departmental Stores in Kethanur, focusing on factors like product availability, pricing, store ambiance, staff behavior, and billing efficiency. Data from 121 customers was collected via a structured questionnaire and analyzed using percentage analysis, Likert scale, and rank analysis. Findings show high satisfaction with pricing, product variety, and checkout. However, return policies and cleanliness need improvement. The study offers practical suggestions to enhance service quality and boost customer retention, helping the store stay competitive in the local market.

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Retail Services, Consumer Behavior, Service Quality.

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It is hard to state a certain area of development where human manipulation does not intervene, and if left unchecked, interfere with or even accelerate, reposition or promote the developmental path in accordance with economic, social and technological judgments. The matter has been unfolded for quite some time on the footing as to the place and means of evolution of the artificiality of development and the relationship of this question with philosophical analysis or political discourse. It is a matter of conscious intervention or strategy rigging by use of artificial means that is, using in one way or other, policy know-how, technological centers, and a variety of system apparatuses. The paper, from within the stream of classical and contemporary political thought, takes a look at the role of both state and non-state agencies working within/for development through organization-established policy prescriptions along with economic incentives. An interdisciplinary perspective, Political Theory of the Digital Age offers an evaluation approach through which we can comprehend the influence of AI, averting its disastrous end. Besides, this connection represents various case study and illustrations aims to pattern a rich condensation of the natural growth & intervention contradiction

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Development organic materialistic etc.

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Urinary Tract Infections (UTIs), particularly acute cystitis, are among the most common health issues affecting the urinary system, often associated with pain, burning micturition, and inflammation. In Ayurvedic classics, this condition aligns with Pittaj Mutrakriccha, characterized by burning sensation and discomfort during urination, resulting from vitiation of Pitta dosha. The modern approach to treating UTIs typically involves antibiotics, which, while effective, pose risks of side effects and antibiotic resistance. Thus, there is a growing need for safe, natural, and effective alternatives. This study focuses on the evaluation of Tikhur (Curcuma angustifolia) dry suspension in managing symptoms of Pittaj Mutrakriccha, with special reference to acute cystitis. Tikhur is known in Ayurveda for its Pittashamak, Mutral, and anti-inflammatory properties. It has traditionally been used to soothe the urinary tract and support healthy kidney and bladder function. A clinical trial was conducted involving subjects presenting with classic symptoms of acute cystitis. Patients were administered Tikhur dry suspension over a specific period, and assessments were made based on changes in clinical symptoms like burning micturition, frequency, urgency, and suprapubic pain. The findings suggest significant relief in symptomatic presentation, indicating that Tikhur dry suspension could serve as a promising herbal intervention in managing acute cystitis. The study supports the integration of Ayurvedic formulations in modern-day clinical practice as an effective and safer alternative for recurrent UTIs.

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Keywords: Tikhur, Pittaj Mutrakriccha, Acute Cystitis, UTI, Ayurvedic Medicine, Herbal Remedy

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Agriculture plays a vital role in our world, yet farmers continue to face major challenges--especially when it comes to identifying crop diseases early and finding the right markets to sell their produce. This project introduces a user-friendly mobile app designed to support farmers on both fronts: it combines a digital Farmers' Market with an AI-powered plant disease diagnosis tool.Using machine learning, the app allows farmers to simply upload a photo of their plant to detect diseases and receive treatment suggestions. At the same time, it helps them connect with agricultural experts and sell their harvest directly through an integrated marketplace[4]. This all-in-one solution aims to boost productivity, reduce crop losses, and make it easier for farmers to reach buyers. The app is designed to be simple, practical, and impactful--helping farmers grow smarter and sell better.

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Plant Disease Detection, Image Processing, Machine Learning, Support Vector Machine (SVM), K-Means Clustering, Digital Agriculture, Farmers' Market Platform, Crop Health Diagnosis, Mobile Agriculture Application, Backpropagation Neural Network (BPNN), Smart Farming, AgriTech, Disease Classification, Marketplace Integration

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Abstract: This research explores the application of machine learning (ML) techniques in analyzing societal crime patterns to enhance predictive policing and inform policy-making. By leveraging advanced algorithms, including supervised and unsupervised learning models, we analyze large-scale crime datasets encompassing demographic, geographic, and temporal features. Our methodology integrates feature engineering, anomaly detection, and predictive modeling to identify crime hotspots, forecast crime trends, and uncover underlying socio-economic factors contributing to criminal activities. The results demonstrate high accuracy in predicting crime occurrences and reveal actionable insights into crime distribution and prevention strategies. This study underscores the potential of ML in transforming law enforcement practices and fostering safer communities through data-driven decision-making, while addressing ethical considerations such as bias mitigation and data privac

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Machine Learning, Crime Analysis, Predictive Policing, Societal Crime Detection, Data-Driven, Crime Prediction, Crime Forecasting

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This study explores the investment trends and behavioral patterns of college students in the stock market. With the increasing accessibility of trading platforms and financial information through digital media, more young individuals, especially college students, are showing interest in stock market investments. The main objective of this research is to analyze how college students invest, what motivates their decisions, and the factors influencing their investment behavior such as risk appetite, financial literacy, peer influence, and use of digital tools.

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Stock Market, Investment Behavior, Risk, Investment Trends , Awareness

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India got Independence on 15th Aug. 1947, since independence till now as country India achieved various milestone in the field of science, technology, Research and Development, health etc. A country facing famine and epidemic before independence today recognized as "the pharmacy of the world" and supplier of food to the world community. The political prestige of India is today recognized all over the world. At the Domestic Level India has introduced big changes in economy infrastructure and development initiatives. Simultaneously Indi's proactive role in multilateral fora such as the United Nations General Assembly, the Brazil, Russia, India, China, South Africa (BRICS) summit, and the G-20 summit were significant achievements at Global level seeking investment and development Priorities. India successfully held G-20 Delhi summit that manifests it's voice and important role in of global governance and world politics. But even after all these developments a lot have been left to be achieved. Even now the country ranked lowest in Hunger, Happiness, literacy, health in the world. Even today million died because of non-availability of better health and sanitation facility and by hunger. This paper is an effort to highlight the issues on which country fared better and to streamline those issues on which the country needs to act in a vigorous manner for the greater good of country and humanity.

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Demography, Pandemic, Pharmacy of the world, Atmnirbhar Bharat, G-20,

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