Volume 14 | Issue 3 |

 Abstract

Overall, this research contributes to the growing literature on the integration of Artificial Intelligence in Human Resource Management and provides insights for organizations seeking to optimize recruitment strategies in the evolving digital workplace. The research methodology presented in the paper is based on the pilot study of the topic.

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 Keywords

Artificial intelligence,Human resource,recruitment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ferrofluids are colloidal suspensions of magnetic nanoparticles in carrier liquids that exhibit unique magnetorheological properties. Kerosene-based ferrofluids containing oleic acid-coated magnetite (Fe?O?) nanoparticles have gained attention due to their excellent thermal stability, low volatility, and superior dispersion characteristics. This review examines the synthesis methodologies, characterization techniques, and diverse applications of oleic acid-coated kerosene-based Fe?O? ferrofluids. We analyzed chemical co-precipitation and thermal decomposition methods for Fe?O? nanoparticle synthesis, emphasizing oleic acid's role as a surfactant in achieving stable colloidal dispersions. Characterization approaches discussed include X-ray diffraction (XRD) for phase identification, transmission electron microscopy (TEM) for morphological analysis, Fourier transform infrared spectroscopy (FTIR) for confirming oleic acid coating, vibrating sample magnetometry (VSM) for magnetic property evaluation, and rheological measurements for assessing flow behavior. The chemical bonding mechanisms between oleic acid and magnetite surfaces are critically analyzed. The review highlights how oleic acid surface modification prevents particle agglomeration and enhances long-term stability in non-polar kerosene carriers. Characterization reveals distinct patterns in XRD peaks, magnetization curves, and viscosity-temperature relationships governing ferrofluid performance. Kerosene-based ferrofluids demonstrate superior performance in heat transfer enhancement for cooling systems, damping applications in shock absorbers and vibration control, and magnetic fluid sealing technology for rotary seals and vacuum feedthroughs. Emerging biomedical applications include drug delivery and magnetic hyperthermia therapy. This review synthesizes current knowledge on oleic acid-coated kerosene-based Fe?O? ferrofluids and identifies future research opportunities in nanoparticle size optimization, surface chemistry modification, and application-specific formulations, serving as a resource for researchers working on ferrofluid development across technological domains.

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 Keywords

Ferrofluids, Magnetite nanoparticles, Oleic acid, Kerosene, Chemical co-precipitation

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 Abstract

The study explores the growing career opportunities in AI-driven marketing and how artificial intelligence is transforming the marketing industry. With the rapid development of technologies such as machine learning, data analytics, and automation, businesses are increasingly relying on AI to understand consumer behavior, personalize marketing strategies, and improve decision-making. This research examines the role of AI tools in modern marketing practices, the skills required for professionals to build a successful career in this field, and the emerging job roles created by AI integration. The study also highlights how AI enhances efficiency, improves customer engagement, and helps organizations gain a competitive advantage. Furthermore, it analyzes the challenges, ethical considerations, and future prospects of AI-driven marketing careers. The findings suggest that professionals who combine marketing knowledge with AI and data-driven skills will have significant career opportunities in the evolving digital economy.

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 Keywords

AI-driven marketing, Artificial Intelligence, Digital Marketing, Marketing Automation, Data Analytics, Consumer Behavior, Career Opportunities, Machine Learning in Marketing, Marketing Technology, Future of Marketing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Due to COVID-19, remote learning has revealed the institutional weaknesses of available online assessment tools when it comes to allegations of academic misconduct. To address this, ExamShield is a novel intelligent AI-based exam platform online which employs a secure architected browser based machine training strategy to deliver remote proctoring. The ExamShield platform can detect a cheating activity by using the MediaPipe and Tensorflow.js including changing tabs, turning your back on the camera, a second or more faces in the camera view, and covering the camera with an object. ExamShield platform has a dual-role architecture, which is teacher and student-friendly, and has an elaborate violation tracking system related to automatic reporting and advanced post-examination reporting. Besides, the initial testing showed that face-detection part had an accuracy of 94.7% and multiple-face-detection part had an accuracy of 92.4% but tab-switch-detection part had a 100-percent reliability. ExamShield offers a low-cost, scalable, and privacy-conscious service of both maintaining academic integrity and offering an optimal user experience due to the innovative combination of full-stack web technologies and AI-on-the-client-side and the protection of user privacy. ExamShield is also another solution to the requirement of secure and reliable remote assessment environment in the educational institutions as well as in the companies in the form of their training programs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Academic Integrity, Artificial Intelligence, Cheating Detection, Machine Learning, Online Proctoring, Real- time Monitoring, Remote Examination, Web-based Assessment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Morphometry, Drainage Density, Hypsometric Integral, RS-GIS, Ton River Basin, Vindhyan Plateau.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Gestational weight gain, Breastfeeding initiation, Cesarean section, Antenatal exercise, BMI

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The CNC machine which was introduced in the late 1970s has improved its utilization drastically over the years. The goal of the project is to design a cost-effective three-axis CNC plotter machine with multiple applications. The 3-axis plotter machine works with the use of a stepper motor, Arduino UNO and microcontroller software. Its framework involves mechanical system design, wiring and software tools. The principle behind the plotter machine is computer numerical control which gives input to the plotter from a computer program. The Arduino UNO and CNC shield drivers enable consistent and accurate step control of stepper motors. The Inkscape is utilised to transform any desired picture into a Gcode file for the machine to work.

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Arduino, CNC, stepper motors, Inkscape software, G-code file

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Kalama Sutta (Anguttara Nikaya 3.65), one of the most celebrated discourses in the Pali Canon, presents the Buddha's exhortation to the Kalama people to evaluate teachings not by tradition, lineage, or authority, but by their observable consequences in one's own experience. This paper argues that the epistemological and pedagogical framework embedded in the Kalama Sutta offers a profound and practical model for fostering critical thinking in contemporary higher education. Drawing on Buddhist philosophy, educational theory, and neuroscience, the paper explores how the Sutta's ten criteria for evaluating knowledge map onto modern pedagogical approaches such as inquiry-based learning, Socratic dialogue, and reflective practice. It also examines institutional challenges to implementing such a framework, including epistemic dependence, authority bias, and the cultural dimensions of learning. By positioning the Kalama Sutta as a trans-historical guide to intellectual maturity, the paper calls for a renewed engagement with Buddhist epistemology as a resource for transforming university education.

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Creative Commons Attribution 4.0 and The Open Definition

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The Indian cement industry, being the second-largest in the world, is a critical driver of infrastructure and economic development. However, it faces persistent challenges such as long lead times, high inventory costs, operational inefficiencies, and waste across the supply chain. This paper explores the application of lean manufacturing principles, particularly Value Stream Mapping (VSM), as a strategic tool for optimizing supply chain management in cement manufacturing. Through a detailed case study of a medium-scale cement plant in India, the study identifies key supply chain wastes--overproduction, waiting, transportation, inventory, motion, over-processing, and defects--and proposes a future-state VSM to streamline material and information flows. The findings reveal that VSM can significantly reduce lead times, lower inventory levels, improve throughput, and enhance customer satisfaction. Despite implementation challenges such as capital investment and resistance to change, the study underscores the transformative potential of lean supply chain practices in achieving operational excellence and sustainability in the Indian cement sector.

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 Keywords

supply chain management, cement industry, lean manufacturing, value stream mapping, India, process optimization, waste elimination

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Creative Commons Attribution 4.0 and The Open Definition

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This research study focuses on the coverage of rural issues in Indian regional newspapers. Rural India forms a major part of the country's population, and newspapers play an important role in informing citizens about social, economic, and political developments in villages. The purpose of this research is to examine how regional newspapers report rural matters, what types of issues receive attention, and whether the concerns of rural communities are presented in a fair and detailed manner. The study analyses the nature of rural reporting by examining factors such as the frequency of coverage, depth of information, focus on development issues, representation of farmers and marginalized groups, and the balance between event-based news and analytical reporting. It also observes whether rural problems such as agricultural distress, lack of infrastructure, unemployment, healthcare, education, and local governance are discussed in a meaningful way or only reported as isolated incidents. The findings suggest that while regional newspapers regularly include rural news, much of the coverage tends to focus on daily happenings, government announcements, and political activities. In-depth investigations and data-based reporting on rural development are comparatively limited. This research highlights the important role regional newspapers play in shaping awareness about rural India. At the same time, it emphasises the need for stronger, more detailed, and people-centred reporting to ensure that rural issues receive the attention they deserve.

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 Keywords

Rural Issues, Indian Regional Newspapers, Rural Journalism, Media Coverage, Rural Development, Agricultural Distress, Infrastructure, Healthcare, Education, Local Governance, Farmers, Marginalized Communities

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Creative Commons Attribution 4.0 and The Open Definition