Volume 13 | Issue 8 |

 Abstract

This research paper analyzes the effectiveness of traditional recruitment methods versus digital recruitment techniques in the Mumbai job market. As the world becomes increasingly digital, the recruitment process is also evolving. The study aims to provide insights into the adoption, efficiency, and impact of both traditional and digital methods on the recruitment outcomes in Mumbai, a city known for its dynamic business environment. The paper explores the advantages, limitations, and trends in the adoption of these methods and offers recommendations for organizations seeking to enhance their recruitment strategies.

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 Keywords

Recruitment, Digital, Traditional, Digital Transformation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The overwhelming majority of households migrate in search of employment, reflecting the push-driven nature of migration caused by the scarcity of livelihood opportunities in local villages, districts, and the state as a whole. At the same time, the process of migration is heavily dependent on informal networks of assistance, particularly fellow workers, contractors, and kinship ties, which not only facilitate mobility but also provide protection against exploitation and insecurity. The negligible role of formal institutions such as labor unions highlights a significant gap in organized support and protection for migrant workers. Thus, seasonal migration emerges as both a coping strategy for survival and a socially mediated process, where economic compulsions intersect with community-based networks to shape the overall migration experience.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

labour, migration, livelihood, work, Type of assistance

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The advent of artificial intelligence (AI) and data-driven technologies brought new depths to cybersecurity where interpolated, or dumped data can equally serve as a valuable asset. The idea is named Trash Intelligence based on the view that AI tools utilize trash data to reveal sensitive information left behind by digital users; e.g., deleted files, caches, and logs. Although organizations believe that the data deleted is no longer readable, research indicates that digital waste can easily be retrieved, and therefore it exposes them to great threats of hacking and exploitation [4], [13]. Emerging digital and circular economy technologies, including blockchain and Internet of Things have been deployed successfully to physical and e-waste management [1], [8], yet there is a dearth of studies on the cybersecurity impact of digital dustbins. Machine learning methods have already been shown to be useful in waste forecasting, optimization and resource recovery [10], [5] implying that malicious actors may similarly use machine learning to extract sensitive information. This paper will discuss the possibility of AI tapping on digital residues and how it can be possibly attacked and the countermeasures. This gap is connected to the linkage of concepts in the three fields (waste management, circular economy, and cybersecurity). Therefore, the study identifies an actual research gap to secure the data disposal activities in the AI-driven setting.

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 Keywords

AI, Cybersecurity, Deleted Data, Trash Intelligence, Digital Dustbins.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The CRISPR-associated protein 9 (Cas9) system is primarily a defensive mechanism utilized by bacteria to protect themselves from phage invasion. Endometrial cancer, a particular type of gynecological cancer, poses a serious hazard to people all over the world because to the high occurrence of the PTEN gene mutation. It has, however, been purposely exploited as a powerful foundation for RNA-guided DNA targeting, making genome editing, transcriptional disruption, epigenetic alteration, and genome imaging more manageable. When using a fusion protein of nuclease-deficient Cas9 and effector domain, this technology allows for precise manipulation of any genomic sequence specified by a short stretch of guide RNA, allowing for the elucidation of gene function involved in disease development and progression, correction of disease-causing mutations, active therapeutic approaches include rectifying disease-causing mutations, inactivating oncogenes, and activating deactivated cancer suppressor genes. The CRISPR-Cas9 in-silico operation was performed using the ChopChop technique version 3. CHOPCHOP is suitable for a variety of CRISPR applications, including gene knock-out, sequence knock-in, and RNA knock-down. Using CHOPCHOP's visualization, gRNAs may be chosen through knowledge and experimentation. CHOPCHOP v3 broadens the variety of DNA targeting methods available. Among these are (i) mechanisms for nanopore enrichment. Targeted sequencing is the process of obtaining high-quality sequencing reads in a specified area of interest. CHOPCHOP v3 is limited to sgRNA searches inside each isoform, which necessitates knocking off the PTEN gene with IDT Technology. The gRNA had to be selected for usage since "Molecular Scissor" is a procedure that uses primer design to assist the UCSC Genome Browser in measuring the variation of the intron and exon variation in the targeted gene by target sequences. Furthermore, this programmable endonuclease technique allows scientists to investigate the roles of multiple gene sequences concurrently by targeting multiple genomic loci in a single experiment, greatly accelerating our understanding of pathological processes involving large sets of genes or mutations, such as tumor development. CRISPR-based genome-wide screens using single-guide RNA (Sg RNA) libraries can be used to identify drug-target or disease-resistance genes, such as novel tumor suppressors or oncogenes, as well as to rapidly assess therapeutic targets. Drug-target or disease-resistance genes, such as novel tumor suppressors or oncogenes, can also be exploited to quickly identify therapeutic targets. The CRISPER-CAS9 gene editing technique, as a novel therapeutic impact method, emphasizes the need of understanding the mechanism of endometrial cancer therapy. CRISPRs, or clustered regularly interspaced short palindromic repeats, were developed as a gene editing tool. CRISPR-associated (CAS) nucleases, which are guided by single guide RNAs (sgRNAs), can be used to fix mutations in disease-associated genes and delete specific genes. When it comes to creating genetic alterations or mutations, the CRISPR/Cas9 system outperforms earlier methods.

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 Keywords

CRISPER-CAS9, Endometrial cancer, PTEN gene, ChopChop method, IDT Technology, guide RNA

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Adulteration of food products, especially milk, poses a significant threat to public health and safety. The use of urea as an adulterant in milk is a common practice, leading to serious health risks. To address this growing concern, we have developed IKshan, a revolutionary urea detection kit made from soybean flour, offering a simple, eco-friendly, and cost-effective solution for identifying urea adulteration in milk. The name ??shan, meaning "care" in Hindi, reflects our commitment as pharmacists to prioritize the well-being of society. This study investigates the spread of adulteration in commonly used food items such as turmeric powder, milk, ghee, and edible oils. Various adulteration testing methods were employed across different samples, and the results were analyzed graphically to distinguish between adulterated and unadulterated samples. The graphical representation highlights the extent of adulteration and its widespread nature in everyday consumables. Through the development of strip, we aim to provide a reliable tool for consumers to easily detect urea in milk, ensuring better food safety practices. The findings of this study underscore the necessity for innovative solutions to combat food adulteration, ensuring the safety and integrity of products consumed daily.

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 Keywords

Adulteration, Unadulterated,Consumers, Urea

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Geopolymer concrete, Fire damage, Retrofitting, Fiber Reinforced Polymer (FRP), Hybrid CFRP-BFRP, Load-bearing capacity, Sustainable construction.

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Creative Commons Attribution 4.0 and The Open Definition

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This study explores the role of employer branding in recruitment success among companies in Mumbai, one of India's largest and most competitive job markets. Employer branding refers to the reputation and image of a company as an employer, and its influence on attracting and retaining top talent. With the growing emphasis on creating a distinct organizational identity, the research examines how employer branding strategies such as online presence, employee value propositions (EVP), corporate social responsibility (CSR), and employee testimonials affect recruitment outcomes. The study uses a quantitative approach, gathering data from 100 companies in diverse sectors, including IT, banking, healthcare, and retail. Findings reveal that a strong employer brand significantly improves recruitment success by reducing time-to-hire, enhancing the quality of applicants, and lowering recruitment costs. Moreover, employer branding influences candidate decision-making, with candidates more likely to apply to organizations with a strong, positive brand image. The study also finds that employer branding plays a crucial role in employee retention and engagement, as companies with a strong brand identity experience higher retention rates. These results emphasize the strategic importance of employer branding in Mumbai's competitive labor market, suggesting that companies investing in their brand image can attract top talent and achieve greater recruitment success.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Employer Branding, Recruitment, Mumbai, Talent.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the evolving landscape of global commerce, supply chains have transformed from static transactional models to dynamic, interconnected systems. The concept of complete justice, drawn from constitutional jurisprudence, has profound implications in these environments--particularly in supplier-customer relationships within agile and resilient ("Agilent") supply chains. This article explores how the principle of complete justice can serve as a foundation for fair, responsive, and sustainable commercial partnerships by complementing legal obligations with ethical considerations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Complete Justice, Supply Chain, Transparency, Equality, Supplier Customer Relationship

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial intelligence is changing the face of modern marketing, offering brands powerful tools to understand, predict, and influence consumer behavior with remarkable precision. From automated content generation to real-time personalization and predictive targeting, AI is helping marketers reach audiences in more intelligent and effective ways. However, with this growing technological capability comes a pressing ethical responsibility. As marketers gain deeper access to personal data and behavioral insights, the line between helpful personalization and invasive manipulation is becoming increasingly blurred. This conceptual paper explores the ethical dimensions of using AI in marketing. It begins by examining the key capabilities of AI that are being adopted in customer engagement--such as behavioral tracking, recommendation algorithms, emotion detection, and personalized pricing--and discusses how these tools, when not implemented carefully, may compromise consumer autonomy, privacy, and trust. The paper highlights real-world concerns such as algorithmic bias, lack of transparency, deepfake content, and the psychological impact of hyper-targeted messaging.To address these issues, the paper proposes a values-driven ethical framework that integrates innovation with accountability. It argues that ethical AI in marketing should go beyond regulatory compliance and embrace principles such as transparency, fairness, consent, and explainability. The framework also emphasizes the importance of cross-functional collaboration between marketers, data scientists, legal experts, and ethicists in designing AI systems that respect the human side of the consumer.By grounding the discussion in both current practice and forward-thinking strategy, this study aims to encourage organizations to treat ethical AI not as a constraint, but as a competitive advantage. Responsible AI use can strengthen brand reputation, foster long-term loyalty, and future-proof marketing efforts in an increasingly data-conscious world. In doing so, it invites marketers to reflect on a deeper question: not just what AI can do for marketing, but what marketing should stand for in the age of AI.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ethical AI, Consumer Trust, Responsible Marketing, Data Privacy, Algorithmic Bias

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Physics, as a central discipline in secondary education, has long been regarded as abstract, conceptually demanding, and often disengaging for learners. Traditional lecture-based pedagogies, while effective in transmitting factual knowledge, have shown limitations in fostering deep conceptual understanding, scientific reasoning, and real-world problem-solving. This research article explores advanced pedagogical approaches in teaching Physics at the school level, including inquiry based learning, problem-based learning, conceptual change strategies, peer instruction, and technology integration. The paper reviews empirical evidence on the effectiveness of these methods, highlights challenges in implementation, and offers recommendations for sustainable improvement. The study concludes that while advanced pedagogy enhances students' learning outcomes and motivation, teacher training, curriculum reform, and resource provision are critical for large-scale success.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Physics education, pedagogy, inquiry-based learning, conceptual change, technology integration, peer instruction

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Creative Commons Attribution 4.0 and The Open Definition