Volume 13 | Issue 7 |

 Abstract

Influencer marketing is now a revolutionary force in creating consumer-oriented brand equity across industries, particularly in the digital age. This research integrates the findings from 25 recent sources to investigate the effects of influencer marketing on brand equity dimensions such as brand awareness, brand loyalty, perceived quality, and brand associations. Findings across various industries--banking, fashion, electronics, and small- and medium-sized enterprises--indicate that social media influencers, based on their perceived authenticity, credibility, and coverage, contribute significantly to increased consumer engagement and brand perception and loyalty. The literature examined points out the strategic value of matching influencer attributes with target audience demographics and the potential of influencer messages to shape customer-brand relationships. In addition, research on Generation-Z and future markets of Pakistan, Vietnam, and Saudi Arabia highlights the increasing power of digital personas on financial product adoption and brand positioning. A common thread is the mediating effect of brand love, eWOM, and customer involvement in converting influencer initiatives into long-term brand equity. The results together show that influencer marketing, when well-planned and focused, is a driver of establishing and managing strong, resonant brands within the competitive digital market.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Influencer Marketing, Brand Equity, Brand Awareness, Customer Engagement, Social Media, Digital Branding.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper discusses the due process in international arbitration, and in this respect, we will examine the balance between the fairness of the process and arbitral discretion. The due process is founded on the principles of natural justice, and it ensures the parties' right to a fair hearing and the right to an impartial tribunal, which is part of the validity and enforceability of arbitral awards. Despite the fact that arbitration thrives on flexibility and efficiency, the procedural safeguards should not be obstructed by the discretionary powers of arbitrators. The paper will assess key institutional rules, judicial precedent and international treaties such as the New York Convention 1958 in order to demonstrate how procedural fairness has been observed and, simultaneously, arbitral autonomy has been attained. It also talks about present-day challenges like rush jobs, cultural diversity, and technology, which may interfere with due process. Lastly, the paper points out the importance of safeguarding due process in arbitral discretion in a bid to sustain faith in international arbitration as an acceptable and credible dispute resolution mechanism.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Due Process, Arbitral Discretion, Fair Hearing, Equal Treatment, Neutrality.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Bharat Me Rajniti Ka Apradhikaran : Karan Aur Samadhan

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Creative Commons Attribution 4.0 and The Open Definition

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Bharat Me Rajniti Ka Apradhikaran : Karan Aur Samadhan

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's fast-paced world, women often face increasing safety concerns, especially in technology-driven sectors where they contribute significantly. Unfortunately, harassment and assaults are becoming more common, raising serious concerns about their security. In Pakistan's patriarchal society, crimes against women are frequently overlooked, and authorities may manipulate official records to hide these issues. A recent survey revealed that 84 percentage of women aged 25-35 experienced workplace harassment, with students and full-time employees being the most affected. This highlights the urgent need for improved safety measures. To address these concerns, Safe Walk has been introduced a smart, user-friendly device designed to enhance women's security. With a simple button press, it delivers an electric shock to deter attackers while simultaneously alerting emergency contacts via GSM. Additionally, its GPS tracking feature ensures the user's location is shared for immediate assistance during emergencies, offering enhanced protection and peace of mind.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

women safety, IoT devices, emergency alert system, GPS tracking, shock system, smart security solutions, real-time monitoring, safety technology, threat detection.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

RAJASTHAN KI JANSANKHYA OR MUKHY KHADYAN FASAL :-- UTPADAN OR PRATISHAT JANSANKHYA NIRVAHAN

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Creative Commons Attribution 4.0 and The Open Definition

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RAJASTHAN KI JANSANKHYA OR MUKHY KHADYAN FASAL :-- UTPADAN OR PRATISHAT JANSANKHYA NIRVAHAN

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The goal of the Pradhan Mantri MUDRA Yojana is to "fund the unfunded" by integrating micro-enterprises into the formal financial system. It focuses on providing affordable credit to small businesses. This scheme aims to fill credit gaps in small, micro, and tiny enterprises to encourage economic activity. The scheme enables loans to income-generating microenterprises that are non-corporate, non-farm small/microenterprises for up to INR 20 lakh. This paper aims to study the performance of the PMMY scheme for the period of nine years from its inception to 2024. This paper analyzed the performance in terms of the number of accounts opened and the amount disbursed for various schemes, castes, and genders under PMMY. In 9 years, cumulatively the PMMY program has benefitted 47.84 people with a disbursement of 28.22 lakh crore. It has been observed that more than 50% of the PMMY beneficiaries belong to the SC/ST/OBC categories, and over 35% of the total funds are distributed to them. Moreover, 68% of total account holders are women entrepreneurs, and 44% of the total funds are distributed to them. This suggests that the scheme is effectively meeting the credit requirements of the underprivileged population.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MSME, PMMY, Mudra, Credit, Micro Enterprises and Performance.

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Creative Commons Attribution 4.0 and The Open Definition

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Mahatma Gandhi's ideas about the environment have become more important now, especially with the current environmental problems. However, the work of women who follow these ideas in their daily lives often goes unrecognized. This article looks at how women in rural and tribal areas of India are living out Gandhi's principles like nonviolence, self-rule, and trusteeship through their efforts to protect the environment. From the water defenders in Bundelkhand to the seed-saving women in Navdanya, and from forest protectors in the Himalayas to farmers in dry areas of Odisha, these women are fighting for environmental justice using peaceful means, community-based solutions, and taking care of the environment in a meaningful way. The article uses ecofeminist ideas to show how these women challenge both environmental damage and the unfair treatment women face, offering a model of environmental ethics that is based on care, simplicity, and community strength. By focusing on their real-life experiences, this article shows that Gandhi's environmental ideas are not just theories but are practiced in everyday life. It also highlights the need to see women as the key people who will help shape India's future for the environment.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gandhian Environmentalism, Ecofeminism, Rural Women, Grassroots Movements

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

use of machine learning (ML) and deep learning (DL) models for the automated diagnosis of eye diseases has gained significant traction in recent years. Common conditions such as glaucoma, cataracts, diabetic retinopathy, myopia, and age- related macular degeneration can lead to severe visual impairment if not detected early. Early diagnosis is critical for effective treatment and preventing long-term damage. Therefore, thorough analysis and early identification of symptoms are highly recommended. This paper presents a comprehensive review of ML and DL models developed for detecting and classifying eye diseases, highlighting their strengths, limitations, and associated challenges. Recognizing these diseases typically requires extensive medical expertise, making automated systems particularly valuable. The objective of this study is to provide a foundation for identifying the most robust and adaptable solutions in this domain. Specifically, the research focuses on deep learning architectures such as VGG16, ResNet, and Inception. The general workflow involves collecting publicly available eye disease datasets, applying preprocessing techniques to ensure experimental consistency, and training models to recognize disease patterns rather than overfitting to specific data segments. With the success of DL in image classification and object recognition, the field is shifting away from traditional handcrafted feature extraction methods. A promising approach involves leveraging pre-trained deep convolutional neural networks (CNNs) for feature representation, followed by classifiers such as Support Vector Machines (SVMs) or Multilayer Perceptrons (MLPs). Studies have shown that CNN-based methods, trained on large-scale annotated datasets, can effectively perform eye disease classification even when applied to smaller, domain-specific data

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Eye diseases, Machine learning, deep learning, Convolutional Neural Networks, VGG16, ResNet.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: A football match predictor is a website used to predict the outcome of the football matches. It gives the results based on the past match history. It uses the past match data to predict the future matches. It uses the data like player performance, team combination etc. The homepage of the football match predictor is the main and important thing or component of our football match predictor. We made it important and gave all the important options in the homepage because the user first see the home page. It has the many options like live sores, player performance, historical data and other details of football matches. The data of the football matches or other large and important data is represented using the graphs and also other representation like percentages

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Use of Dsa, Technologies in machine learning, Rule-Based Heuristics, System design, Logistic Regression, Random Forest, Poisson Regression, K-Nearest Neighbors (KNN), How the Predictor Works, Checking Accuracy and Improving, Training the Model

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Creative Commons Attribution 4.0 and The Open Definition