Sustainable entrepreneurship plays a critical role in the advancement and progress of a nation in a sustainable and enduring manner. In addition to the overarching significance of sustainable entrepreneurship, it is important to acknowledge the role that the personality disposition of an individual can play in the formation of a sustainable outlook. This study attempts to examine the relationship between personality traits and sustainable entrepreneurship intention using big 5 traits personality classification. To attain the objective of the study, data was collected from 264 entrepreneurs and analysed using correlation and regression analysis. The results of the study reveal that Big 5 personality..........

[1]. Ariani, D. W. (2013). Personality and learning motivation. European Journal of Business and Management, 5(10), 26–38.
[2]. Arru, B. (2019). An integrative model for understanding the sustainable entrepreneurs' behavioural intentions: an empirical study of the Italian context. Environment, Development and Sustainability, 22, 1–58.
[3]. Baum, J. R., Frese, M., & Baron, R. A. (2007). The psychology of entrepreneurship. Mahwah, NJ: Lawrence Erlbaum Associates.
[4]. Belz, F. M., & Binder, J. K. (2017). Sustainable entrepreneurship: A convergent process model. Business Strategy and the Environment, 26(1), 1–17.
[5]. Binder, J. K., & Belz, F. M. (2015). Sustainable entrepreneurship: What it is. In the Handbook of entrepreneurship and sustainable development research. Edward Elgar Publishing.

To study the reliability of a product or system, it is important to know about the product's lifespan. In this case, accelerated tests are used in order to accelerate the process of equipment degradation due to exposure to high levels of stress. In this work, an example of a rapid test on an electronic device is presented. The maximum likelihood method is used to obtain the increased statistical model for the lifetime of this device, as a function of temperature. The objective is to estimate the risk as a function of time and temperature, using a model that relates failure times to the stress factor.

[1]. Catelani M., Ciani L., Guidi G. andPatrizi G. 2021.AcceleratedTestingandReliabilityestimationofelectronicboards for automotiveapplications. IEEE International Workshop onMetrology for Automotive (MetroAutomotive),199-204.DOI: 10.1109/MetroAutomotive50197.2021.9502884.
[2]. Cook, T., Zhang Z., Sun, J. 2017.SimulationStudiesontheEffectsoftheCensoringDistributionAssumption in theAnalysisofInterval-CensoredFailure Time Data. Chen, DG., Chen, J. (eds). Monte-Carlo Simulation-BasedStatisticalModeling. ICSA Book Series in Statistics.https://doi.org/10.1007/978-981-10-3307-0_15
[3]. Freels, J.K., Pignatiello, J.J., Warr, R.L., and Hill, R.R. 2015.Bridgingthe Gap betweenandQualitativeAccelerated Life Tests. Quality and Reliability Engineering Internacional, 31: 789–800. DOI: 10.1002/qre.1636.
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[5]. Kienitz, J.andWetterau, D. 2012. Financial Modelling: Theory, ImplementationandPracticewithMatlabsource. John Wiley& Sons.

The study investigates the intricate relationships between school culture, teachers' morale, the learning environment, and job performance within educational institutions. Grounded in Bandura's Social Cognitive Theory, the research employs a descriptive survey research design to gather insights from teachers across various educational levels. A structured survey questionnaire, informed by established scales and validated instruments, measures teachers' perceptions of school culture, morale, learning environment, and job performance. The study employs purposive sampling to ensure diversity in the sample, with data collected electronically to maintain confidentiality and informed consent. Descriptive statistics, including means, standard deviations, frequencies, and percentages.........

[1]. Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice-Hall.
[2]. Bryk, A. S., & Schneider, B. (2002). Trust in Schools: A Core Resource for Improvement. Russell Sage Foundation.
[3]. Cohen, D. K., & Lotan, R. A. (2014). Designing Groupwork: Strategies for the Heterogeneous Classroom. Teachers College Press.
[4]. Cohen, D. K., McCabe, L., Michelli, N. M., & Pickeral, T. (2009). School Culture and Teachers' Work. Teachers College Record, 111(4), 944-976.
[5]. Darling-Hammond, L. (2017). Teacher Education around the World: What Can We Learn from International Practice? European Journal of Teacher Education, 40(3), 291-309.

Over the last decade, civil engineering in Brazil has progressed in developing methodology and technology for the efficient use of material and financial resources available for a construction project in the private sector. However, concerning the public sector, resource usage continues to use practices that lead to waste, ultimately increasing direct and indirect costs. The overall objective of this research is to demonstrate how the use of cost control tools can prevent material waste and reduce unnecessary expenses within the context of public construction projects. Increasing efficiency in the use of material resources not only results in cost reduction but also helps avoid material waste that can harm the environment and avoid unforeseen expenses.........

[1]. Pinheiro, I. (2021). Construction budget: Understand the types and when to use them! Fortaleza: Inova Civil.
[2]. Maffezzolli, E. C. F., & Boehs, C. G. E. (2016). A reflection on the case study as a research method. Revista da FAE, 11(1). https://revistafae.fae.edu/revistafae/article/view/262.
[3]. Saint Jean, G., Longo, O. C., & Lima, G. P. (2022). Sustainability and planning applied in civil construction from the perspective of professionals. Research, Society and Development, 11(5), e9611527864. https://doi.org/10.33448/rsd-v11i5.27864.
[4]. Moreira, S. G. (2019). Best practices to reduce cost deviations and delays in civil construction projects. Revista Eletrônica Produção & Engenharia, 9(2), 754–763.
[5]. Boeriz, T. A., & Gonçales Filho, M. (2021). Quality management in waste prevention at a civil construction site. Brazilian Journal of Production Engineering, 7(3), 71–84. https://periodicos.ufes.br/bjpe/article/view/35827.

Travel software is a new type of application software that has emerged with the development of the tourism industry and advancements in science and technology. In today's era of rapid technological progress and economic globalization, an increasing number of people are becoming fond of tourism. Based on the market and functional requirements of travel software, we conducted a comparison and analysis of existing travel software. Through our research, we found that although existing travel software has comprehensive information collection about tourist attractions, it also has a significant drawback. The abundance of information implies increased difficulty in searching and selecting, posing a challenge when...........

[1]. Asaithambi Suriya P. R.,Venkatraman R.,Venkatraman S. 2023. A Thematic Travel Recommendation System Using an Augmented Big Data Analytical Model[J]. Technologies,2023,11(1).
[2]. Lu J. 2023. The integration of cultural tourism based on the Internet of Things and big data analysis[J]. Journal of Computational Methods in Sciences and Engineering,2023,23(1).
[3]. Ciolac R.,Iancu T.,Popescu G.,Adamov T.,Feher A.,Stanciu S. 2022. Smart Tourist Village—An Entrepreneurial Necessity for Maramures Rural Area[J]. Sustainability,2022,14(14).
[4]. Information Technology - Data Mining; Data from Sichuan University Advance Knowledge in Data Mining (Design of Geographic Information Visualization System for Marine Tourism Based On Data Mining)[J]. Computer Technology Journal,2020.
[5]. Puthenpura V.,Nadkarni S.,DiLuna M.,Hieftje K.,Marks A. 2023. Personality Changes and Staring Spells in a 12-Year-Old Child: A Case Report Incorporating ChatGPT, a Natural Language Processing Tool Driven by Artificial Intelligence (AI).[J]. Cureus,2023,15(3).
[6]. Pranita D.,Sarjana S.,Musthofa B. M.,Kusumastuti H.,Rasul M. S. 2023. Blockchain Technology to Enhance Integrated Blue Economy: A Case Study in Strengthening Sustainable Tourism on Smart Islands[J]. Sustainability,2023,15(6).

The prediction of stock market trends has intrigued not only traders but also computer engineers. Traditional prediction methods rely on historical stock data or analyse social media information. However, forecasting based solely on historical data encounters challenges due to evolving market patterns and potential oversights in certain data fields. For instance, the absence of a crucial parameter, like 'return rate,' in available data can hinder the accuracy of some prediction models. Conversely, models emphasizing the return rate alone may disregard other significant parameters, such as opening and closing prices.............

[1]. S. Selvin, R. Vinayakumar, E. A. Gopalakrishnan, V. K. Menon and K. P. Soman, "Stock price prediction using LSTM, RNN and CNN-sliding window model," 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Udupi, India, 2017, pp. 1643-1647, doi: 10.1109/ICACCI.2017.8126078. keywords: {Companies;Timeseries nalysis;Logicgates;Predictivemodels;Forecasting;Datamodels;Machinelearning;Timeseries;Stockmarket;RNN;LSTM;CNN}
[2]. M. R. Vargas, C. E. M. dos Anjos, G. L. G. Bichara and A. G. Evsukoff, "Deep Leaming for Stock Market Prediction Using
Technical Indicators and Financial News Articles," 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, 2018, pp. 1-8, doi: 10.1109/IJCNN.2018.8489208. keywords: {Predictive models;Machinelearning;Biological system modeling;Recurrent neural networks;Computationalmodeling;Stochasticprocesses;Convolutional neural
networks;Deeplearning;Recurrent neural network;Convolutional neural network;Long Short-Term Memory;Stocks forecasting.}
[3]. M. Misra, A. P. Yadav and H. Kaur, "Stock Market Prediction using Machine Learning Algorithms: A Classification Study," 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE), Bhubaneswar, India, 2018, pp. 2475-2478, doi: 10.1109/ICRIEECE44171.2018.9009178. keywords: {Stock markets;Support vector machines;Predictivemodels;Predictionalgorithms;Radiofrequency;Artificial neural networks;Principal component analysis;DataAnalysis;MachineLearning;PredictiveAnalysis;StockPrediction;Linear Regression.}

The strategic management of road transport represents a fundamental pillar for the operational and financial success of companies that depend on logistical efficiency to deliver goods and services. The preparation of this work involved an investigation conducted through scientific bibliographical research. The general objective of this research is to analyze the most advantageous alternative when making a decision regarding your own or outsourced road transport fleet with a view to profitability. These are the specific objectives: Describe the importance of transport logistics and road transport; show in a simple and objective way an analysis of the best fleet composition for a cargo transport company. It was concluded that the strategic management of road transport, between its own and outsourced fleet, is complex and vital for companies due to the need to reduce costs.

[1]. Silva, B. H. V. (2023). The Moment of Strategic Decision Making in Transportation Management: Owned Fleet, Outsourced, or Mixed? Scientific Article (Specialization in MBA in Supply Chain Management at the Euvaldo Lodi Institute). IEL. Fortaleza: IEL.
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A standard case of rectilinear motion states the condition when a particle is moving in a straight line and one is supposed to calculate, observe and manipulate among several scalar and vectorial factors which includes initial velocity, final velocity, time period, distance covered, displacement, acceleration, retardation and speed. All these factors are scaled from average to instantaneous level. This is a theoretical and Mathematical approach in order to show that in an event of rectilinear motion when a particle is moving in a straight line, there is a possible instant when the acceleration becomes twice the initial velocity. Not only a linear equation between acceleration and velocity is being established, but also............

[1]. Nafria, A., Singla, S., & Ansari, M. (2013). Equations of motion are five in nature not three. International Journal of Engineering Research and Development, 8(9), 06-12.
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[4]. Sandovel-Hernandez, M., Vazqueaz-Leal, H., Filobello-Nino, U. A., & De-Leo-Baquero, E. (2021). The Quadratic Equation and its Numerical Roots. International Journal of Engineering Research and Technology, 10(6), 301-305.
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Based on perturbation theory and the superposition model, the splitting parameters for the zero field of Mn2+ incorporated [NH4][Zn(HCOO)3] crystals are found. The acquired parameters fairly correspond to the experimental ones when the computation takes local distortion into account. The theoretical result supports the experimental finding that Mn2+ ion enters the [NH4][Zn(HCOO)3] hybrid formate at substitutional Zn2+ site. The system's optical spectra are computed using the crystal field parameters from the superposition model and the crystal field analysis program. Through diagonalization of the entire Hamiltonian in the coupling scheme of intermediate crystal field, the energy band locations of the Mn2+ ion are derived. The Coulomb interaction, crystal field Hamiltonian, Trees correction, spin-orbit, spin-spin, and spin-other- orbit interactions make up the Hamiltonian,.the parameters B and C are employed in relation to the coulomb interaction. The calculated and experimental band positions are found to reasonably agree. As a result, the theoretical analysis validates the results of the experiment..

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Small and Medium Enterprises (SME) is a form of people's business that has existed as the driving force of the economy in Indonesia. This research aims to analyze CV Sahabat Alam Handycraft SME based on the business canvas model and formulate strategies for the sustainability of CV Sahabat Alam Handycraft. This research uses qualitative methods using the business model canvas and SWOT. Data collection techniques use interview and documentation methods. The research results show that CV Sahabat Alam Handicraft has implemented a canvas business model in the growth quadrant, namely growing and developing, thus supporting aggressive growth policies (growth-oriented strategy) (GOS). These SME should implement strategies to improve operational quality, creativity, adaptation, innovation, collaboration, cooperation, and synergy so that SME are sustainable.

[1]. Coordinating Ministry for Economic Affairs of the Republic of Indonesia. 2021. MSMEs are an important pillar in the Indonesian economy. News and Press Releases. (Online), https://ekon.go.id/publikasi/detail/2969/umkm-jadi-pilar-important-dalam-pereconomic-Indonesia, (accessed 29 August 2022).
[2]. Arrahman, F. (2022). Business Development Strategy for Rysmanda Collection MSMEs using the Business Model Canvas Approach (Doctoral Dissertation, Sultan Syarif Kasim Riau State Islamic University).
[3]. Suwarni, E., & Handayani, M. A. (2020). Banana Chips Micro, Small and Medium Enterprises Business Development Strategy using the Canvas Business Model Approach. Mbia, 19(3), 320-330.
[4]. Yulia, Y., & Sitorus, R. (2022). Alternative Coffee Shop Business Development Strategy Using the Business Model Canvas Approach During the Covid-19 Pandemic. Scientific Development Media, 16(6), 6949-6962.
[5]. Chen, Y., Fay, S., & Wang, Q. (2011). The Role Of Marketing in Social Media: How Online Consumer Reviews Evolve. Journal of Interactive Marketing, 25(2), 85-94.

This study presents a Geographic Information Systems (GIS)-based multicriteria evaluation (MCE) approach for identifying suitable sites for renewable energy development in Delta State, Nigeria. The research focuses on assessing the potential for solar and wind energy across the state by analyzing various spatial factors and criteria. Utilizing GIS techniques, data on land use, topography, proximity to infrastructure, and environmental sensitivity were integrated to evaluate the suitability of different locations for renewable energy projects. The results of the study revealed promising opportunities for both solar and wind energy development in Delta State. For solar energy, 13 out of the 24 Local Government Areas.........

[1]. Abdullah, K., & Hossain, M. S. (2017). Renewable energy and sustainable development in Nigeria: The way forward. Energy Reports, 3, 1-8.
[2]. Gevorgyan, A., & El-Sayed, H. (2018). A review of renewable energy sources, sustainability issues and climate change mitigation. Cogent Engineering, 5(1), 1447984.
[3]. Ghosh, S., & Das, S. (2017). GIS-based site suitability analysis for small hydro-power plant using multi-criteria decision-making approach: A case study from Sikkim, India. Journal of Cleaner Production, 147, 515-529.
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