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24 articles for “Ethical Sourcing”
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A Study on Relationship of Sustainable Development Goals with the Usage of Cosmetic Skin Care Products- A Study
Abstract: Sustainable Development Goals is nothing but making addressing the conflicts worldwide and giving better lives for people in the globe. The main aim is to tackle the challenges along with others to make the globe more sustainable for future generations. There are seventeen goals defined in SDGs which are focused on sustainable development. They are exclusively designed for eradication of poverty, protection of the environment, and the promotion of our …
Published in Recent Trends in Cosmetics · Vol. 2, Issue 2, 2025 · pp. 36–40 Read article
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Eco-friendly Interior Design Practices
Abstract: The present study delves into the examination of environmentally conscious interior design techniques and their consequences for the built environment's sustainability. The use of sustainable materials, energy efficiency, waste reduction, biophilic design, indoor air quality improvement, water conservation, certifications and standards, social responsibility, ethical sourcing, and cost-benefit analysis are just a few of the strategies and concepts that are examined in the study.This study explores how these approaches help create …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 1, 2024 · pp. 1–18 Read article
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Optimizing Supply Chain Management: Strategies, Innovations, and Sustainable Practices for Enhanced Operational Efficiency and Global Competitiveness
Abstract: Supply chain management (SCM) is a critical component of modern business operations, directly influencing operational efficiency and global competitiveness. This paper explores strategies, innovations, and sustainable practices aimed at optimizing SCM. It examines the integration of digital technologies, such as artificial intelligence and digital twins, to enhance supply chain performance and adaptability. Additionally, the study delves into sustainable supply chain management (SSCM) practices, including sustainable sourcing, green packaging, and waste …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 1–6 Read article
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The Future of Camelids in South America: Recent Developments and Prospects
Abstract: Camelids, including llamas, alpacas, vicuñas, and guanacos, have been central to South American culture, economy, and ecosystems for centuries. Known for their adaptability to harsh Andean climates, these species provide valuable resources, such as luxurious fiber, nutritious meat, and durable leather. In modern times, their importance has grown due to increasing demand for sustainable and ethically sourced products, coupled with their minimal environmental impact and significant contributions to rural livelihoods. …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 2, 2025 · pp. 35–38 Read article
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Industry 4.0 and Smart Supply Chains: Transforming Supply Chain Processes for Enhanced Efficiency and Sustainability
Abstract: The fourth industrial revolution, or Industry 4.0, is an important transformation in how industries function via the use of cutting-edge digital technology. Supply chain management is being substantially altered by integrating technologies like blockchain, big data, automated processes, artificial intelligence, and the internet of things into typical operations of the supply chain. With the help of these technologies, corporations can design intelligent supply chains that are more effective, flexible, and …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 1, 2025 · pp. 36–41 Read article
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Luxury in Sustainability: Designing Eco-Friendly Yet Opulent Interiors
Abstract: This report explores the evolving relationship between luxury and sustainability in interior design, challenging the misconception that opulence and environmental responsibility are incompatible. It examines how high-end residential, commercial, and hospitality spaces integrate sustainable materials, energy-efficient technologies, and ethical sourcing to create refined yet eco-conscious interiors. Through detailed case studies, including Bloomberg European Headquarters, Six Senses Zil Pasyon, and Passive House designs, the study highlights innovative approaches to reducing carbon …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 2, 2025 · pp. 19–45 Read article
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Development of a Plant-Derived Bacteriological Culture Medium as an Alternative to Conventional Nutrient Agar
Abstract: Microbiological research extensively uses culture media for the cultivation and study of microorganisms. However, the traditional nutrient agar, which contains animal-derived components, presents ethical and accessibility challenges. This study aims to tackle these issues by creating a plant-based bacteriological culture medium as a sustainable and cost-effective alternative. The primary objective is to satisfy the growing demand for ethical and accessible culture media by utilizing the nutritional richness of common plant …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Role and Importance of Machine Learning in Social Media
Abstract: The widespread adoption of social media platforms has transformed the way individuals interact and communicate. Going beyond personal connections, social media has evolved into a potent tool for sharing information, shaping ideas, and fostering participation across various industries. Machine learning is pivotal in enhancing social media's impact. Social media generates vast data daily, and machine learning is essential for extracting insights. Sentiment analysis, a machine learning application, identifies emotions in …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 23–30 Read article
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Unveiling Fairness: A Quest for Ethical Artificial Intelligence and Bias Mitigation
Abstract: Artificial intelligence (AI) systems have become ubiquitous across areas like finance, healthcare, employment, and criminal justice. However, they suffer from issues of unfair bias, lack of transparency, and broad ethical implications impacting vulnerable societal groups disproportionately. This paper reviews key challenges around AI ethics and bias while proposing data-driven guidelines mitigating such algorithmic harms through rigorous statistical testing, predictive modeling ensembles adjusting distortion vectors and AI audits by domain experts …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 28–31 Read article
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Securix: An Open-Source Security-based Linux Distribution for Novice Cyber Security Enthusiasts
Abstract: In the ever-evolving field of cybersecurity, the need for accessible and user-friendly tools in favor of beginner users has never been greater. The existing ethical hacking-related operating systems, while powerful, often overwhelm beginners with their complexity. The main objective of this project is to bridge the gap by providing an operating system for novice cyber enthusiasts looking to explore the world of ethical hacking and security. The proposed operating system …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 1–6 Read article
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Synthetic Highs in Urban India: A Quantitative Study of Synthetic Drug Use Among Youth in Maharashtra’s Metropolitan Cities
Abstract: Background: The increasing prevalence of synthetic drug use among urban youth is emerging as a serious public health issue in cities like Mumbai and Pune. The transition from traditional drugs to more modern ones, such as MDMA, LSD, and meth, is indicative of deeper global shifts fueled by urbanization, increased access to the internet, and peer pressure. There is an abundant increase in reports about the availability of synthetic drugs, …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 · pp. 6–12 Read article
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Generative Artificial Intelligence with Emphasis on Large Language Models: Review and Current Trends
Abstract: Generative Artificial Intelligence deals with AI systems that generate new content, such as text, and images. It accomplishes this by using data patterns of texts and images that already exist. Generative AI began an era of major advancement in AI, producing more refined and human-like results. Large Language Models, LLMs, is a part of Generative AI with applications in Natural Language Processing such as text generation, translation, summarization, sentiment detection …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 40–46 Read article
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Gene Therapy in Modern Medicine: Promises and Challenge in Treating Genetic Diseases
Abstract: Gene therapy is a medical approach that focuses on altering or adjusting an individual’s genes to treat or prevent illnesses. The aim is to repair faulty genes or insert new ones into the body to combat diseases. Gene therapy can involve directly introducing modified or new genes into a patient’s cells or altering the genes already present in the patient’s body. This approach shows potential for treating a range of …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 2, 2024 · pp. 27–32 Read article
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Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions
Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article
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Depression Detection using Machine Learning: A Comprehensive Review
Abstract: Depression is a leading mental health disorder worldwide, often underdiagnosed due to subjective assessment methods. The increasing availability of digital behavioral data and the advancement in machine learning (ML) have opened new avenues for automated depression detection. This review presents a comprehensive overview of recent developments in ML- based approaches for detecting depression. It explores data sources, feature extraction techniques, learning algorithms, evaluation methods, and highlights current challenges and future …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 Read article
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Advancements in Battery Storage Technology for Renewable Energy Systems: Improving Reliability and Efficiency of Sustainable Energy
Abstract: Advances in battery storage technology are critical to improved reliability and efficiency of renewable energy systems, underpinning a sustainable energy future. Innovations exist in many different kinds of battery technologies- being developed and tested, and the leading contenders include innovations such as lithium-ion and sodium-ion, and much newer entrants like the solid-state and lithium-sulfur batteries. These developments respond to growing needs for sustainable solutions towards better integration of intermittent renewable …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 2, 2026 Read article
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Social Media Analysis Using Big Data
Abstract: Social media has become an essential aspect of everyday life across different age groups, serving functions ranging from sharing personal updates to staying informed about social developments. Our objective is to harness big data to extract meaningful insights from the immense and ever-expanding volume of data generated on social media platforms. We will collect and analyze data from various social media sources, including text, images, and user interactions, using cutting-edge …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 35–46 Read article
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Genetic Variability and Statistical Methods: Key Insights for Computational Genetics Research
Abstract: Genetic variability, defined as the differences in DNA sequences among individuals, serves as the foundation of evolutionary biology and plays a pivotal role in species’ adaptability, resilience, and overall survival. Advances in genomic technologies, particularly high-throughput sequencing, have enabled unprecedented exploration of genetic diversity, fostering the growth of computational genetics. This interdisciplinary field combines statistical methods and computational tools to analyze genetic data, identify patterns, and link phenotypes to genotypes. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 19–23 Read article
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Smart Education through Machine Learning: A Review of Trends, Benefits, and Risks
Abstract: Machine learning (ML) is transforming the contemporary education by transforming it into smarter, data-driven and personalised learning. This review examines the key tendencies, advantages, and possible threats of applying ML in intelligent education. ML promotes adaptive learning, automatization of assessments, and student engagement, which is highly beneficial both to learners and educators. Nonetheless, issues like data privacy, algorithmic bias or unequal access are also a significant concern. The article emphasises …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 24–28 Read article
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Depression Detection Using Machine Learning: A Comprehensive Review
Abstract: Depression remains one of the most prevalent mental health conditions globally, yet it frequently goes undiagnosed due to the reliance on subjective evaluation methods. With the growing availability of digital behavioral data and significant progress in machine learning (ML), new possibilities have emerged for the automated detection of depression. This review offers a detailed examination of recent advancements in ML-driven approaches to identifying depressive symptoms. It covers a range of …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 27–32 Read article