journals

Abstract Generation Millennials or generations are also known as Generation Y or Generation Digital natives, defined as individuals born between 1981 and 1996 when Generation Y or Millennials had Already almost entirely entered age. This article uses bibliometric analysis in processing the data, so it is included in meta-analysis research with qualitative data. These bibliometric […]

Abstract Implied volatility (IV) is crucial in option pricing models and serves as an essential tool for volatility traders to make informed decisions. However, its effectiveness in predicting realized return volatility is still debated. This study investigates the efficiency of implied volatility in forecasting realized return volatility in the Indian financial markets, specifically using Bank

Abstract Transmigration, where an impacted tooth crosses the midline, is a rare anomaly occurring in less than 1% of cases. Described initially by Nodine and Thoma and later termed by Ando et al. in 1964, it is more common in the mandibular arch and linked with malocclusion, impacted teeth, over-retained primary teeth, and supernumerary teeth.

Abstract Financial mindfulness is an emerging concept in personal finance that promotes a transformative mindset to encourage rational decision-making and mitigate emotional biases. This study explores the evolution of research on financial mindfulness through a systematic literature review and bibliometric analysis of 58 relevant articles. The bibliometric analysis reveals the developmental trajectory of this literature,

Abstract The Travelling Salesman Problem (TSP) is a well-known optimization that determines the shortest route that visits a particular set of towns and returns to the start line. As an NP-hard, its complexity will increase considerably as the number of cities increases. Several heuristic algorithms, such as Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO),

Abstract In machine learning, optimizing solutions is critical for improving performance. This study explores the use of metaheuristic algorithms to enhance key processes such as hyperparameter tuning, feature selection, and model optimization. Specifically, we integrate the Artificial Bee Colony (ABC) algorithm with Random Forest and Decision Tree models to improve the accuracy and efficiency of

Abstract Serverless computing is becoming increasingly important in data-processing applications in science and business. The scheduler is at the centre of serverless data-processing systems, allowing for dynamic decisions on job and data placement. The complex design space, which is influenced by various user, cluster, and workload variables, presents problems for developing high-performance and cost-effective scheduling

Abstract Flower waste has emerged as a noteworthy issue, especially in the context of India’s growing floriculture sector. According to the Indian floriculture market report, specifically, the floriculture market is growing at a very high Compound Annual Growth Rate (CAGR) of 11%. 4% expected between 2024 and 2032. However, flower waste is still considered as

Abstract Menstrual hygiene is a complex issue that requires coordinated efforts at various levels, especially for adolescent girls. However, the lack of basic facilities like sanitary products, water supply, and a safe environment for changing pads limits their options for safe menstrual hygiene. To understand more about menstrual distress and self-efficacy among schoolgoing girls, we

Abstract This research paper intensely analyses Maria’s challenges as depicted in Maria Campbell’s autobiographical Novel Halfbreed. It examines her metamorphosis from childhood to adulthood and the self-empowerment that resulted from her hardships. The article also looks at how Indigenous women have historically been marginalized and highlights Campbell’s story as an example of a young Native