Smart home technology is progressing rapidly due to the need for better energy management and resulting new potentials for controlling energy. While smart homes use different connected IoT devices, energy meters, and sensors to gather a massive amount of data that is used to gain insight into energy consumption. This data is governed by data analytics so as to come up with actionable information that the homeowners can put to use in tracking their usage and, in turn, altering it. Energy management in smart homes is particularly critical for individual homes and on a global scale given the rising costs of energy and the fast-rising need for energy sustainability in the world today. The data used in this study to determine the feasibility of data analytics in managing energy systems in smart homes is gathered using both quantitative and qualitative research studies. The main data for this study is collected by Internet of Things (IoT) connected smart devices and energy monitoring sensors that are randomly selected smart homes depending on energy consumption, peak consumption, and cost. Machine learning techniques are used to determine trends, forecast future consumption, and come up with improvements. By combining these quantitative and qualitative views, this work offers a deeper understanding of the use of data in enhancing the efficiency of energy usage in smart homes. Big data as a tool is useful for increasing efficiency in smart homes and, therefore, cutting costs by providing regular real-time monitoring, accurate forecasting of needed energy, and individual energy management techniques. The findings of this research support the significance of data analysis to reveal energy conservation potentials, promote pro-environment utilization, and reduce energy bills. The current work enriches the literature on sustainable energy management with a focus on the significance of further advancements of smart home systems and data science solutions towards a more sustainable energy future.

Behavioural finance is a vital field that explores how psychological factors influence market outcomes. By examining emotional and cognitive aspects of investing, it aims to enhance our understanding of how these influences affect investors. Key themes like overconfidence, cognitive dissonance, regret theory, and prospect theory highlight the intricacies of investor behaviour. This research focuses on the investment patterns of working women and the factors they consider in their financial decisions, emphasizing the significant impact of psychological influences on the decision-making process.

Purpose: This work aims to understand the relevance of nanotechnology in the enhancement of quantum computing with an emphasis on the perceptions of workers in the fields. The research is going to examine the identification of these perception factors thereof by elaborating on the field of expertise of the participants of this research, their experience in the field, and their awareness of quantum bits or qubits to offer future guidelines for pertinent research and development. Objective: The goals of this research are as follows: The first is to evaluate the present status of nanotechnology in quantum computing, second, to define the factors, which influence the professional meaning of the concept, and third, to discover the literature deficiencies. The present research also intends to provide suggestions on how interpersonal and interprofessional cooperation and research in this emerging area can be improved. Methodology: Consequently, there was the use of a cross-sectional survey design, and participants included experts in nanotechnology, quantum computing, and related areas. The questions posed in the survey addressed respondents’ experience, their view on the role of nanotechnology and their background. Data collected in this study were analyzed using the chi-square tests, ANOVA test, T-tests, correlation analysis, and regression analysis to examine the relationship between variables and determine the goodness of fit in the tests. The survey sample included 210 participants and therefore offered considerable reliability for the evaluation. Results: The first sets of chi-square tests revealed no correlation between the field of speciality and views on nanotechnology (χ² = 14. 77, p = 0. 789), or between their level of quip familiarity and preference for nanomaterials (χ² = 13. 56, p = 0. 631). ANOVA test, which compared the perceived significance of nanotechnology to the years of experience, brought out an F-statistic of 0. 96 which is non-significant at p > 0. 05 of 0. 428. The T-test of researchers’ and graduate students’ perception of nanotechnology showed an insignificant value at p > 0. 05 of 1. 17. According more to the correlation analysis the results of the correlation between years of experience and perceptions of nanotechnology were non-significant (r = - 0. 03 p = 0. 664). Years of experience and familiarity with qubits explained less than 1 % of the total explanation of the perceptions (R² = 0. 002, F = 0. 22, p = 0. 803). Practical Implications: Evidently, the current study established that nanotechnology is unanimously considered of extreme importance in quantum computing, to those with no experience in it, or those coming from different fields of specialty. This reflects the need for increased funding of open-ended nanoscale research and development and industries to work together as a system to solve the engineering issues that remain in communication in the development of quantum systems. The outcomes also reflect the importance of maintaining efforts in introducing nanotechnology as a part of educational programs in quantum computing so that the new generation of specialists could contribute to the development of the field. Novelty: Thus, this study is one of the first ones which invests empirical evidence on experts’ perceptions of nanotechnology in quantum computing and involves a large and heterogeneous sample. Therefore, using a wide variety of statistical methods, the research offers a more detailed picture of factors that affect these perceptions and points to what concerns may be relevant for future studies. The results enrich the current discussion on the further evolution of quantum computing and the scientists’ plans for the coming decades integrating nanotechnology into the new field. Conclusion: The findings demonstrate a general appreciation of the significance of nanotechnology in quantum computing across scholars in the field with no variation across the fields of specialization, years of experience, or career development. At the same time, the results suggest the hypothesis that other factors influencing the perceptions remain more important than the investigated ones and are not included in this study. These results compellingly suggest that further technical research is still needed to address the barriers which limit the extension of quantum computing and help define a feasible roadmap for this disruptive technology.

In this work is devoted to the construction of a mathematical model based on the Hamilton-Ostrogradsky variational principle. The Kirchhoff-Love hypothesis was used to convert a three-dimensional model to a two-dimensional model. The variation of potential and kinetic changes and changes in the works of external forces were estimated. Using Cauchy relationships, Hooke's law and Maxwell's electromagnetic tensor in a geometric linear form, the effects of electro-magnetic-elasticity on the stressed deformation condition of the elastic plate were gained. Presents an independent solution to the problem of magneto elasticity of thin complex-shaped anisotropic plates. Electrodynamic forces are considered stationary. In this work, computational experiments were performed for (anisotropic) plates made of different materials under different boundary conditions, positive results were obtained and analyzed.

In this article, we introduce the concept of Pythagorean fuzzy contra M-open and Pythagorean fuzzy contra M-closed mappings in Pythagorean fuzzy topological spaces and study some of their related properties. Also, the work is extended to Pythagorean fuzzy contra M-homeomorphism, Pythagorean fuzzy contra M C-homeomorphism in Pythagorean fuzzy topological spaces and establish some of their related attributes.

The area of fraud detection has been traditionally correlated with data mining and text mining. Even before the "big data" phenomena started in 2008, text mining and data mining were used as instruments of fraud detection. However, the limited technological capabilities of the pre-big data technologies made it very difficult for researchers to run fraud detection algorithms on large amounts of data. This paper reviews various existing learning methods for financial fraud detection of credit card fraud across different areas and find out their strengths and weaknesses. This paper has developed a credit card fraud detection system using XGBoost (eXtreme Gradient Boosting) method. In the proposed system, data imbalance problem has also been resolved by using SMOTE. Results are evaluated and compared with many states of art methods & found that the presented method performs well in achieving more accurate results after resolving data imbalance.

Social entrepreneurship has emerged as a transformative force aimed at addressing societal issues while generating sustainable social and environmental impact. This study explores the role of social entrepreneurship in bridging service gaps and combating inequality, focusing on innovative business models and strategies employed by social entrepreneurs to solve critical challenges. The paper investigates how social enterprises are disrupting traditional business approaches by prioritizing social value over profit maximization, particularly in underserved communities. Key themes include the identification of gaps in public services, the role of cross-sector collaboration, and the scalability of social enterprises in addressing issues such as poverty, education, healthcare, and environmental sustainability.Through an examination of successful case studies, this paper highlights the ways in which social entrepreneurship is leveraging creativity, community-driven solutions, and resource optimization to tackle systemic inequality. The paper also addresses the challenges faced by social enterprises, including funding barriers, scaling constraints, and the difficulty in measuring social impact effectively. Furthermore, the paper discusses policy frameworks and institutional support needed to foster the growth of social entrepreneurship globally. By examining the intersection of business and social change, this paper underscores the potential of social enterprises to create lasting change and contribute to the realization of the United Nations Sustainable Development Goals (SDGs).Ultimately, this research illustrates that social entrepreneurship is not only a viable model for addressing inequality but also a critical mechanism for social innovation, offering scalable solutions to some of the world’s most pressing challenges.

The field of cleft lip and palate repair has seen significant advancements, with evolving surgical techniques aimed at improving functional and aesthetic outcomes. Among these, the Afroze incision, a fusion of the Millard and Pfeiffer techniques, stands out as a transformative innovation. By integrating surgical expertise, aesthetic precision, and a focus on facial harmony, the Afroze technique emphasizes patient-centered care. It combines the flexibility and vermilion alignment of the Millard technique with the lip lengthening and structured repair of the Pfeiffer method. The result is a tension-free, durable, and aesthetically harmonious outcome that restores natural lip features while promoting functional recovery. The Afroze incision minimizes scarring, preserving the face’s beauty and symmetry, and focuses on individualized treatment plans that prioritize both the physical and psychological well-being of the patient. This approach enhances emotional outcomes, boosting self-esteem and a sense of normalcy. By incorporating anthroposophical principles, the Afroze incision represents a holistic model of care, addressing the physical, emotional, and aesthetic needs of patients. This technique exemplifies the potential of human-centered surgical innovation, significantly impacting the functional outcomes and psychological healing of cleft lip patients. This review explores the anthroposophical principles guiding the Afroze incision in cheiloplasty, offering a holistic approach to unilateral cleft lip deformities.