Volume 12 | Issue 4 |

 Abstract

ANGLO INDIAN COMMUNITY IN COCHIN

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ANGLO INDIAN COMMUNITY IN COCHIN

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In the contemporary era, the proliferation of technology has not only revolutionized communication and commerce but has also paved the way for a new breed of criminal activity. This paper delves into the pivotal role played by digital evidence in addressing and untangling the complexities inherent in modern-day criminal activities. Drawing upon an amalgamation of scholarly insights, empirical investigations, and practical case illustrations, this study investigates the multifaceted facets of digital evidence and its indispensability in the investigation, prosecution, and resolution of diverse forms of crime. Ranging from cybercrimes such as hacking, identity theft, and online fraud to conventional offenses like homicide and financial malfeasance, digital evidence serves as a cornerstone in reconstructing the narrative of criminal occurrences. Furthermore, this paper scrutinizes the challenges and intricacies associated with the procurement, preservation, and analysis of digital evidence, encompassing concerns pertaining to privacy, veracity, and jurisdictional limitations. Additionally, it scrutinizes the evolving legal paradigms and technological innovations that influence the domain of digital forensics, emphasizing the necessity for adaptive methodologies and interdisciplinary cooperation to effectively counter emerging threats.

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Digital evidence, Criminal activities, Cybercrimes,Law enforcement, Technology, Digital forenscs, Admissibility and Reliability

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The focus of this research is this Study delves into the thorough examination and practical application of sustainable transportation practices tailored for electric vehicles (EVs) within educational institutions. With the escalating concerns surrounding environmental degradation and the pressing need for sustainable solutions, integrating EVs into educational campuses emerges as a pivotal strategy. The research begins by scrutinizing the environmental benefits of EV adoption, including reduced greenhouse gas emissions and diminished reliance on fossil fuels. Moreover, it elucidates the economic advantages such as lower operational costs and potential revenue streams through EV charging infrastructure Moving beyond theoretical discourse, the study presents a comprehensive implementation framework, encompassing infrastructure development, policy formulation, and educational initiatives. It delineates strategies for establishing EV charging stations across campuses, leveraging renewable energy sources, and incentivizing EV ownership among students, faculty, and staff. Additionally, it proposes curricular and extracurricular programs to foster awareness and engagement, nurturing a culture of sustainability within educational communities. By synthesizing theoretical insights with practical guidelines, this research paves the way for educational institutions to embrace EVs as a cornerstone of their sustainable transportation agenda, thereby fostering environmental stewardship and inspiring future generations to prioritize eco- conscious mobility solutions.

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Sustainable Transportation,adoption,Electric Vehicles

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In today's rapidly evolving business landscape, multinational corporations (MNCs) face the challenge of equipping their workforce with the abilities and know-how required to maintain their competitiveness in the global economy. The advent of artificial intelligence (AI) offers a rare chance to transform MNCs' training and development procedures. This research looks into how AI is used in MNC staff training and development, exploring how AI-driven technologies can enhance learning outcomes, improve employee performance, and drive organizational success. Through a comprehensive survey questionnaire administered to 100 participants, consisting of employees and HR professionals in MNCs, this study examines the perceptions, attitudes, and experiences regarding the use of AI in training and development initiatives. The survey questionnaire comprises close-ended questions designed to assess various aspects of AI integration, including its effectiveness in delivering personalized learning experiences, its impact on employee engagement and motivation, and its ability to address skill gaps and foster continuous learning. By analysing the survey data and synthesizing insights from existing literature and industry reports, this project aims to offer a thorough grasp of the possibilities and difficulties related to AI-enabled training and development initiatives in multinational corporations. Additionally, the project explores best practices, emerging trends, and practical recommendations for leveraging AI to optimize employee learning and enhance organizational performance in multinational contexts. Ultimately, this research contributes to the growing body of knowledge on AI applications in human resource management and offers valuable insights for MNCs seeking to harness the transformative power of AI to cultivate a skilled and adaptable workforce in today's digital age.

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Artificial Intelligence (AI), Training and Development, Multinational Corporations (MNCs), Employee Learning, Human Resource Management (HRM) Skills Development

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Serial homicide investigations require complex investigative procedures. In digital age, the trace to the offenders is equally available in the digital records as is available at the crime scenes. With this as the context, the research paper aims to elucidate on the intersection of cyber forensics in the realm of serial homicide investigations, shedding light on how digital evidence is becoming an indispensable tool for law enforcement agencies and how it can play an important role in decoding the chain linkages, modus operandi, etc., in serial homicides. Through a synthesis of case studies and empirical analysis, the paper expounds the pivotal impact of cyber forensics in unmasking perpetrators and establishing evidentiary links in serial homicide scenarios. It highlights the evolving nature of criminal activities in the digital age and underscores the need for law enforcement to adapt with the developing cyber forensics investigative methodologies accordingly. Furthermore, the paper explores various challenges and ethical considerations inherent in leveraging cyber forensics, addressing issues such as privacy concerns and potential legal constraints. It provides insights into the development of protocols and best practices for law enforcement agencies to effectively utilize digital evidence while respecting individual rights. The findings underscore the significance of a multidisciplinary approach, emphasizing collaboration between cyber forensic experts and traditional investigative units. Ultimately, this research contributes to the ongoing discourse on enhancing investigative methodologies, thus, ensuring that justice is served in the face of evolving criminal landscapes.

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Culpable homicide, Cyber Forensics, Serial Homicide, Digital Evidence, Novel Investigative Methodologies

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T-Headed Coupler, a product commonly used for rebar connections. The T-Headed Coupler is a mechanical anchoring used to connect end rebars. The fundamental advantage of the T-Headed Coupler is its ability to provide a solid connection between rebars. The installation procedure and interpretation properties of the T-Headed Coupler, as well as its applications in many construction and engineering fields. Overall, the goal is to provide a comprehensive understanding of the T-Headed Coupler and its significance in rebar connections. T-headed couplers: their properties and applications. Overall, the use of T-headed bars in reinforced concrete structures improves structural performance, durability, and ease of implementation. Continued research and innovation in this subject will further develop and broaden our understanding.

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T- Headed Coupler, rebar, mechanical anchorage.

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In this study we present the growth and characterization of L-aspartic acid doped potassium dihydrogen phosphate single crystal a novel composite material with potential application in non -linear optics and bio photonics. The single crystal were grown using the solution growth method with controlled doping of L-aspartic acid into the potassium dihydrogen phosphate KDP matrix. The growth process well defined single crystal with uniform doping concentrations. X-Ray diffraction (XRD) analysis was confirmed the crystalline nature and crystallographic orientation of the single crystal. The obtained XRD patterns exhibited characteristic peaks corresponding to both KDP and L-Aspartic acid indicates successful of dopant into the crystal. The optical properties of single were investigated using UV-Visible spectroscopy, revealing changes in the optical absorption and transmissions spectra compared to pure KDP crystals. FTIR analysis states that pure functional groups are present in the crystal

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Potassium Dihydrogen Phosphate, L-Aspartic Acid and Slow evaporation.

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In once many decades we've seen an increase in the operation of surveillance systems such as CCTVs and movable monitoring bias. These are static but not intelligent. With the arrival of Artificial Intelligence, fabrics like Computer Vision has increased the compass of including fresh functionalities. This Intelligent Surveillance Support System adds to the conventional monitoring system with advanced real time features similar as face recognition, alarm on theft/ infidelity discovery, callers in/ out discovery and stir discovery. Emphasis is on doing the tasks mentioned over in real time. This is achieved by using optimized algorithms available in OpenCV Library which improves the operation of machine perception.

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ISSS, Computer vision, OpenCV, Face recognition, Theft detection, Motion detection.

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Domestic violence is a pervasive issue globally, affecting individuals across different socio-cultural contexts. In the Indian context, domestic violence presents complex dynamics influenced by deeply entrenched cultural norms, economic disparities, and gender inequalities. This research paper aims to provide a comprehensive understanding of domestic violence in India, examining its prevalence, contributing factors, manifestations, and consequences. Key findings suggest that domestic violence in India is widespread, affecting women across diverse demographic backgrounds. Factors contributing to its prevalence include patriarchal norms, dowry-related issues, economic dependency, and inadequate legal and institutional frameworks. Moreover, cultural factors such as stigma, shame, and societal pressure often inhibit survivors from seeking help or reporting abuse. In conclusion, this research paper underscores the urgent need for concerted efforts from policymakers, civil society organizations, and communities to combat domestic violence in India effectively. By addressing the underlying socio-cultural norms and systemic inequalities, sustainable progress can be made towards creating safer and more equitable environments for all individuals, irrespective of gender or socio-economic status.

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Domestic Violence, Women, India, Dowry, Cruelty

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This paper explores the transformative potential of artificial intelligence (AI) integration within patient-centered pharmaceutical marketing strategies to address alcohol addiction and smoking cessation. As the pharmaceutical industry increasingly adopts patient-centric approaches, leveraging AI technologies offers novel avenues to enhance engagement and support for individuals battling addiction. The literature review encompasses global perspectives on AI regulation, AI-enabled clinical trials, patient engagement, drug discovery, and patient empowerment strategies. Objectives include increasing awareness, personalizing interventions, analyzing behavioral insights, enhancing patient engagement, and preventing relapse. Various AI tools such as digital therapeutics, chatbots, mobile apps, wearable devices, machine learning predictive models, cognitive behavioral therapy, neurofeedback training, virtual reality therapy, genetic testing, and social network analysis are discussed, alongside ethical considerations. The study proposes a qualitative research methodology involving a literature review, a survey of the study population, qualitative data analysis, and ethical considerations. Findings underscore the complexities and promises of AI-driven marketing strategies tailored to individuals dealing with addiction, providing recommendations for optimized strategies and ethical frameworks.

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Artificial intelligence, Patient-Centered marketing, Pharmaceutical Industry, Alcohol Addiction, Smoking Cessation, Intervention Strategies, Ethical Considerations.

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