MGMridula Gupta

Mridula Gupta

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Mridula Gupta has a total of 28 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • A Hybrid Machine Learning Approach for Real-Time Threat Classification in VANET-Based Transportation Systems

    by Mridula Gupta, M. P. Karthikeyan, Prabhat Kumar Sahu, N. Hanuman Reddy, A. Alli, Yogesh Jadhav


  • Open Access

    Eukaryotic-Specific Ribosomal Proteins: Pivotal Entities in Ribosomal Function without Corresponding Bacterial Equivalents

    by Aitha Srividya, Anshuman Jena, Hitesh Kalra, Devanshu J. Patel, Mridula Gupta, Kailas Datkhile

    All organisms use a macromolecular device called the ribosome to synthesize proteins. The precise molecular intricacies, despite the significant advancements achieved in the research of the design and function of the bacterial ribosome, the mechanism that helps the eukaryotes' ribosomal and related components assemble the polypeptide properly and swiftly remains to be determined. More Ribonucleic Acid (RNA) and proteins are found in eukaryotic ribosomes than in eubacterial ribosomes. These extra components that add the ribosome's primary and secondary structures are conserved. The function of these parts should be clarified to illuminate the eukaryotic ribosome's techniques of translation and the molecular reasons behind their differences from eubacterial ribosomes. The research addresses a group of ribosomal proteins found in eukaryotes that do not have an equivalent in eubacteria. These proteins are crucial for messenger Ribonucleic Acid(mRNA) binding, nascent peptide folding, and ribosomal structure and function. It addresses how these proteins affect human illnesses and the expression of viruses and how they can serve as targets for antiviral medications.

  • Open Access

    Strategic Integration of Innovation Management Practices within Complex Organizations: Emerging Models and Conceptual Insights

    by Mukul Pandey, Sathyanarayana Gardasu, John Paul M, Malcolm Homavazir, Lakshman Lakshman, Mridula Gupta, Julie Sunil, Jyoti Ranjan Das

    Introduction: The rapid pace of technological advancement and global competition has underscored the critical need for complex organizations to strategically integrate innovation management practices. This paper explores the theoretical foundations of innovation management and examines emerging models that align innovation efforts with organizational strategy. By analyzing key frameworks, such as the Resource-Based View (RBV), Open Innovation, and Dynamic Capabilities, this research highlights the challenges and opportunities organizations face in embedding innovation into their core processes.Method: This paper evaluates existing innovation management models, including Stage-Gate and Agile Innovation, and introduces emerging approaches such as Holacracy and Innovation Networks, which emphasize decentralized decision-making and cross-organizational collaboration. Key concepts such as strategic alignment, leadership roles, and technology integration are explored, providing insights into how innovation practices can be effectively integrated across complex organizational structures.Result: The research identifies cultural and structural barriers to innovation integration and suggests strategies for overcoming them. The findings suggest that when innovation management is aligned with organizational strategy, it fosters long-term sustainability, enhances competitive advantage, and drives organizational agility.Conclusion: The paper concludes by offering conceptual insights into the synergies between innovation and strategy while outlining directions for future research to further explore the integration of emerging technologies and external innovation ecosystems.


  • Open Access

    Risk Assessment and Mitigation Strategies in Medical Informatics for Cybersecurity and Patient Data Protection

    by Swarna Swetha Kolaventi, Duryodhan Jena, Kothakonda Sairam, Hitesh Kalra, Mridula Gupta, Sumol Ratna, Pooja Varma

    While combining modern technology with medical analytics has greatly improved healthcare services, it has also generated several questions over hacking and patient data protection. The risks healthcare companies confront becoming more complex as more of them use telemedicine, electronic health records (EHRs), and other digital technologies. Cyberattacks on private patient data and healthcare systems may have disastrous effects including data breaches, lost vital services, and individuals entering medical records without authorisation. Regarding hacking, this paper examines the hazards associated with medical computers with an eye on the weaknesses in the present healthcare system. It identifies the primary hazards to data integrity and patient risk including ransomware, hacking, and insider threats. Furthermore discussed in the paper are some approaches to enhance medical computer safety. Among these strategies are strong encryption, secure login systems, and continuous monitoring tools capable of locating and reacting to security concerns in real time. The article also discusses the need of strong legal frameworks requiring best practices for data security and the need of healthcare professionals learning about hacking. Furthermore underlined is the need of developing a security attitude within healthcare institutions in order to resist fresh internet risks. Finally, the study advises greater research and development to ensure patient data is safer and offers instances of improved approaches to manage risks in healthcare systems. Maintaining confidence, adhering to regulations, and the overall performance of healthcare delivery systems as healthcare providers become digital depend critically on patient data being secure and private.

  • Open Access

    Health Leadership and Its Effect on Staff Retention and Job Satisfaction

    by Mridula Gupta, Gunveen Ahluwalia, S. RenukaJyothi, Shilpi Singh, Geetika M. Patel, Udaybhanu Rout, Sunil Lawand

    Introduction:The study explored innovative health leadership models aimed at enhancing the quality of life in post-acute care settings. It addressed the growing need for effective leadership strategies to improve patient outcomes and service delivery.Methods:The researcher employed a mixed-methods approach, combining quantitative surveys and qualitative interviews with healthcare professionals in various post-acute care facilities. The study analyzed data from 150 participants to evaluate the impact of different leadership models on care quality and staff satisfaction. Leadership models considered included transformational, transactional, and servant leadership.Results:The findings indicated that transformational leadership models significantly improved the quality of life for patients in post-acute care settings. Facilities that implemented this model reported higher patient satisfaction scores and better overall health outcomes compared to those using transactional and servant leadership models. Staff in transformational leadership settings also reported higher job satisfaction and lower burnout rates.Conclusions:The study concluded that transformational leadership is the most effective model for post-acute care settings, as it fosters a positive environment for both patients and staff. By prioritizing empathy, communication, and empowerment, transformational leaders can enhance patient care and improve job satisfaction among healthcare workers. The research recommended the adoption of transformational leadership training programs to cultivate these skills in current and future healthcare leaders, ultimately advancing the quality of life in post-acute care environments.