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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 Keywords

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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Creative Commons Attribution 4.0 and The Open Definition