Volume 14 | Issue 3 |

 Abstract

The media has been called the fourth pillar of Democracy, because of its ability to inform citizens, Question authority, expose injustice, and create an open space for diverse voices. The media has been widely trusted for its objectivity and commitment to the public good. However, at the present time, the rise of corporate interests and political influences has caused parts of the media to become biased and selective. This shift threatens democratic values because Biased media can mislead citizens and weaken public trust. Yet, despite these challenges, the media's role in strengthening democracy remains vital. For Democracy to function properly, citizens must have access to accurate information and here comes the role of responsible journalism. Nowadays, information flows rapidly across social platforms, and citizens are constantly exposed to news, opinions and narratives that influence political understanding and civic behaviour. The widespread prevalence of misinformation, propaganda, and fake news on social sites poses a significant challenge to democratic health. This paper assesses that analysing, evaluating and creating unbiased media content is a democratic necessity. It explores how media literacy can contribute to electoral integrity and foster accountability. So, this paper is all about exploring how media became a necessary tool for shaping a future where democratic values are protected and strengthened.

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 Keywords

Democracy, Journalism, Propaganda

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Creative Commons Attribution 4.0 and The Open Definition

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The rapid rise of digital health technologies has revolutionized healthcare, but many eHealth interventions fail due to limited stakeholder involvement, poor contextual fit, and weak implementation. This study examines the CEHRes Roadmap from the University of Twente's Centre for eHealth Research--a holistic, user-centered framework with five phases: contextual inquiry (analyzing environments and needs), value specification (aligning with stakeholder priorities), iterative design (refining via feedback), operationalization (ensuring implementation and sustainability), and summative evaluation (measuring effectiveness, usability, engagement, and costs). By prioritizing stakeholder participation, value-driven development, and ongoing evaluation, the Roadmap boosts adoption, engagement, and sustainability. It ultimately enhances the quality, effectiveness, and long-term impact of eHealth solutions in diverse settings.

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 Keywords

CEHRes Roadmap, PCOS, Menstrual Tracking, User-Centered Design, FemTech, eHealth, Personalization, Holistic Self-Tracking, Inclusivity, Ethical Data Practices

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Kabeer Ki samajik Chetna

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Creative Commons Attribution 4.0 and The Open Definition

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Kabeer Ki samajik Chetna

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Being one of the pillars of the Indian economy, agriculture has not been completely eliminated, yet the loss of crops by unknown diseases and ineffective fertilization process is still present and the outcomes are reduced by 30 percent. Harvestify is an AI-powered web-based system of crop disease and soil-specific fertilizer recommendations, which is introduced in this paper. Based on convolutional neural networks (CNNs) and image processing, Harvestify can determine the disease in over 95 percent accuracy of the most popular crops, including rice, tomato, and potato. Measurement of soil parameters, e.g. NPK values and pH are integrated into an expert system, which uses rules to generate a tailor made fertilizer and crop advisor to ensure reduced over-application and greater sustainability. The system in the form of a convenient web application will provide the farmers with timely diagnostics and reduce the use of professionals and give them the opportunity to take proactive actions. Performance is high as benchmark validation experiments indicate high performance in comparison to baselines with F1-score of 0.96 in detecting diseases. Harvestify promotes precision agriculture which is productive and assists in enhancing utilization of resources in the environment with limited resources. Index Terms Crop disease detection, convolutional neural networks, fertilizer recommendation, precision agriculture, web-based AI systems, Plant pathology

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 Keywords

Plant Disease Detection, Artificial Intelligence, CNN, Smart Agriculture, Image Processing, Crop Recommendation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper conducts a feminist comparative study of Helen of Troy and Queen Elizabeth I to examine the ways in which patriarchal discourses influence the representation of female power, guilt, and authority. By using Homer's *The Iliad*, a feminist reinterpretation of Helen by Bettany Hughes, Queen Elizabeth I's Tilbury Speech, and historical feminist scholarship by Carole Levin, this paper will examine the ways in which myth and history provide divergent narratives of female failure and success. Helen of Troy is represented as a patriarchal scapegoat whose beauty and sexuality are held responsible for the Trojan War, while Queen Elizabeth I is represented as a successful female ruler who pragmatically navigated patriarchal power relations. By using feminist theoretical approaches, this paper will contend that both women are represented as the product of patriarchal discourse, but that their narratives provide different possibilities and limitations for female agency within patriarchal systems.

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Keywords: Patriarchy, Feminism, Helen of Troy, Queen Elizabeth I, Myth, Female Agency

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Creative Commons Attribution 4.0 and The Open Definition

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Background: Dry needling is an evolving intervention utilized in patients with many musculoskeletal and neuromuscular pathologies to treat pain, functional impairments, and disabilities. Despite dry needling proving to be a safe and effective treatment for neuromusculoskeletal pain, a notable literature deficit exists concerning the patient's experience, with the majority of studies relying on clinician-reported data. A patient's perception of a medical procedure is built not just on the physical sensation or outcome, but also on their feeling of safety, respect, and professionalism during the process. This self-made questionnaire is focused on subject's or patient's pre-requisite knowledge about invasive Dry needling technique. Objectives: We have designed a self-made questionnaire to check the patient's perception of post dry needling application who have undergone Dry needling. Result: It indicates that the participants demonstrate high patient satisfaction and a significantly positive perception of Dry Needling. Regarding efficacy, two-thirds of participants reported achieving the desired immediate effect, with a 55% majority reporting this positive effect was sustained for at least one day. Furthermore, patient-centered care and safety were highly rated, as 98% confirmed receiving a pre-procedure explanation and 97% confirmed consent was taken. A key psychological benefit observed was the successful mitigation of apprehension, with 73% of respondents affirming that their pre-existing fear of needles had been alleviated post-treatment, and 94% reported an absence of adverse dermal reactions. Conclusion: Patients perception is a key matter, where they were clarified about the technique, communicating with patient, hygiene is maintained, asked for an informed consent before inserting needle and explaining the desired effects of dry needling which may help in speedy recovery of the patient. It also helps to understand the patient behavior towards needle related activity receiving immediate feedback and evaluating the psychological impact of invasive techniques done by physiotherapist. It provides a standardized framework for the physiotherapist's to inculcate Dry Needling Technique with appropriate measures for patient-care.

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 Keywords

Dry needle, Perception, Questionnaire, Needle phobia, Consent, Physical therapy.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: This study explores how Artificial Intelligence (AI) is being incorporated into strategic decision-making processes across diverse sectors. It analyzes the role of advanced AI techniques including machine learning algorithms, natural language processing systems, and predictive modeling tools in improving the quality, speed, and accuracy of organizational decisions at strategic, tactical, and operational levels. The paper critically evaluates the advantages of AI adoption, such as enhanced forecasting capability and data-driven insights, while also addressing implementation challenges, ethical concerns, and governance issues. In addition, it discusses the evolving relationship between human judgment and intelligent systems, highlighting the need for collaborative decision frameworks. The study concludes by proposing practical recommendations to help organizations successfully integrate AI technologies and leverage their full potential for sustainable strategic advantage.

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Keywords: Artificial Intelligence, Strategic Decision-Making, Machine Learning, Natural Language Processing, Predictive Modeling.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The economy of our country has taken a specific export-oriented industry having a best special-ization in sea food processing industries in Gujarat. The livelihood coastal people and 1% em-ployment absorbed through this salified processing in Gujarat. It's an extensive coastline stretching over 1,600 kilometres is abundant with marine resources. The research gap of this study has given so much stress on the changes in the employment absorbing capacity by them. On the other hand, due to ample foreign demand for their product, the foreword effect on both growth with employment, created a new horizon in the market. Gujurat with more than 3,76,000hectares of coastline and six coastal districts. These eco-systems are rich in biodiversi-ty, providing opportunities, brackish water fisheries to shift from traditional agriculture practices to marine, aquaculture, thereby highlighting the states blue economy. Gujrat's development framework will help the achieve the UN sustainable Development goal 14, "Life below the wa-ter". Regular monitoring and innovative marine management thus vital for realizing the full prospective of the blue economy in Gujurat.

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 Keywords

Coastal Resources, Economic, Social and Environment aspect Ratio analysis, Industrial relation

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Creative Commons Attribution 4.0 and The Open Definition

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A wireless sensor network (WSN) consists of geographically distributed, self-governing sensors that collect information about the network's environment. While biomedical sensors are effective and secure in their data collection and prevent potentially dangerous user actions within the network, it is still difficult to identify attacks from regular sensor nodes. Data requests and responses must be validated as part of authentication in wireless sensor networks (WSNs). Authentication is therefore the most crucial security measure. The Internet of Things requires lightweight authentication solutions for low-resource sensor nodes to operate effectively. Three factors were used in the development of a novel authentication system to achieve these objectives. As per the study's findings, the proposed system outperforms all previous comparable protocols, which makes it ideal for applications that use the WSN. Its efficiency can be measured by examining the transmission and computation expenses. This makes it possible for authorized users to access real-time sensing data from WSN sensor nodes after registering for the service. Before granting access to the network, WSN sensor and gateway nodes must verify a user. Among these are their mobility, scalability, dependability, and power efficiency. Performance can be energy efficient. It is unable to account for noise and increased traffic. They employ energy-efficient performance, protocols, modulation techniques, and algorithms. The cross-layer design of the wireless sensor network was covered in this survey. The network life time and throughput are being improved by further implementing the new low power MAC technology and dynamic node traffic analysis.

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 Keywords

Keywords: - Block chain, WSN, Cluster Protocol, Data Aggregation Authentication.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Blind AI Assistant is an intelligent assistive system designed to support visually impaired individuals in performing daily activities independently and safely. Visually challenged users often face difficulties in navigation, object identification, reading printed materials, and interacting with digital content. This project integrates Artificial Intelligence technologies such as Computer Vision, Speech Recognition, Optical Character Recognition (OCR), and Text-to-Speech (TTS) to provide real-time assistance through voice feedback. The system enables object detection, environment description, text reading, and voice-controlled interaction. A unique feature of this project is the volume button multi-press control mechanism, which allows users to switch between Navigation Mode, Assistant Mode, and Reading Mode without relying on touch screens. The proposed solution is cost-effective, portable, and designed to function on smartphones or embedded systems like Raspberry Pi. The system aims to enhance independence, confidence, and safety for visually impaired individuals. Index Terms - Blind AI Assistant, Computer Vision, Object Detection, OCR, Text-to-Speech, Voice Assistant, Assistive Technology, Navigation System, Artificial Intelligence.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blind AI Assistant. Artificial Intelligence , Computer Vision, Object Detection, Optical Character Recognition (OCR) , Text-to-Speech (TTS) ,Speech Recognition, Voice Assistant ,Assistive Technology, Navigation System , Emergency Alert System , Smartphone-based AI Application Accessibility Technology , Visually Impaired Assistance.

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Creative Commons Attribution 4.0 and The Open Definition