Documentation of Significant Losses in Cornus florida L. Populations throughout the Appalachian Ecoregion by Christopher M. Oswalt, Sonja N. Oswalt

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THE COMPARISON OF ARIMA AND RNN FOR FORECASTING GOLD FUTURES CLOSING PRICES by Windy Ayu Pratiwi, Anwar Fajar Rizki, Khairil Anwar Notodiputro, Yenni Angraini, Laily Nissa Atul Mualifah

“…In the financial markets, accurately forecasting the closing prices of gold futures is crucial for investors and analysts. Traditional methods like ARIMA (Autoregressive Integrated Moving Average) have been widely used for this purpose, particularly for their effectiveness in short-term stable data forecasting. …”
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Rule-Based Neutrosophic Triplet Refined Interval-Valued Data Partition Analyzing The Movement of Stock Market Price by S. Bhuvaneswari, G. Kavitha, D. Nagarajan

“…This provides valuable insights for investors and financial analysts aiming to analyse stock market index behaviour more accurately. …”
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WORLD OIL PRICE FORECAST ON BASIS OF EXPERT NON-NUMERIC KNOWLEDGE by Yu. A. Nazarova

“…It assumes an estimation the probability of alternative development options based on the ordinal and interval information by double randomization of alternatives’ probabilities, and weight coefficient, which takes into account the importance of the source of the forecast.As a source of expert information we have taken the Ministry of Economic Development of Russia, the European Commission, the Energy Information Administration US Department of Energy, Barclays Commodities Research reports and statements of experts of international rating agency Fitch Ratings regarding the average price for Brent crude oil for 2015. As the weighting coefficients we have taken the degree of compliance of analysts’ forecasts for 2013 to reality calculated based on the error variance.The result of the study is to determine the probabilities of each of the alternative outcomes and to identify the most likely range of prices for Brent crude oil for 2015. …”
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A Semi-Automated RGB-Based Method for Wildlife Crop Damage Detection Using QGIS-Integrated UAV Workflow by Sebastian Banaszek, Michał Szota

“…A dedicated QGIS plugin enables drone data analysts (Drone Data Analysts—DDAs) to adjust index thresholds, based on visual interpretation, interactively. …”
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Initial data analysis for longitudinal studies to build a solid foundation for reproducible analysis. by Lara Lusa, Cécile Proust-Lima, Carsten O Schmidt, Katherine J Lee, Saskia le Cessie, Mark Baillie, Frank Lawrence, Marianne Huebner, TG3 of the STRATOS Initiative

“…Executing the IDA plan will result in an IDA report to inform data analysts about data properties and possible implications for the analysis plan-another element of the IDA framework. …”
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A Study of the Colombian Stock Market with Multivariate Functional Data Analysis (FDA) by Deivis Rodríguez Cuadro, Sonia Pérez-Plaza, Antonia Castaño-Martínez, Fernando Fernández-Palacín

“…The results of this research could be of interest to academic researchers, financial analysts, or institutions.…”
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Global Environmental Crisis and Structural Challenges in the International System by Rahim Baizidi, Amir Abbasi Khoshkar

“…The global environmental crisis in the form of global warming, deforestation and increased production of industrial pollutants in the last three decades has been at the forefront of multilateral summits of developing and developing powers. Many analysts and politicians believe that one-and-a-half degree decrease in global temperature will help the preservation of the global climate diversity. …”
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The Effects of Public Sector Management and Institutions on Stock Market Development in Sub- Saharan Africa by Gideon Mensah, Anthony Kofi Osei-Fosu, Grace Nkansah Asante

“…Hence, policy-makers, investors and financial analysts have been striving to ameliorate the factors that are detrimental to stock market development in SSA. …”
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The use of different cost of equity models when valuing SMEs: A case study by António Gomes, Maria João Jorge, Ana Gonçalves Pereira

“…Furthermore, the approaches utilized in this study provide valuable guidelines for financial analysts involved in SME valuation.…”
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An Intelligent Market Model that Incorporates Individual Trader’s Behavior to Simulate Forex Trading Data by Patrick Naivasha, George Musumba, Patrick Gikunda, John Wandeto

“…This constitutes a challenging interaction environment that generates complex time series data that may be difficult to predict. Technical analysts’ use of only historic Forex data, disregarding individuals’ trading experience, could be limiting in market prediction. …”
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A hybrid model for improving customer lifetime value prediction using stacking ensemble learning algorithm by Amir Mohammad Haddadi, Hodjat Hamidi

“…A significant challenge that analysts and marketing managers often face is predicting future customer buying behavior. …”
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Design and Methodology of a Real Estate Fund Index for the Czech Market by Černohorský, Adam

“…Recommendation: Investors and analysts should use both index types for a comprehensive performance view. …”
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Method Validation for Progesterone Determination in Poly(methyl methacrylate) Nanoparticles Synthesized via Miniemulsion Polymerization by Odinei Fogolari, Arlindo Cristiano Felippe, Fernanda Vitória Leimann, Odinei Hess Gonçalves, Claudia Sayer, Pedro Henrique Hermes De Araújo

“…Detection and quantitation limits (DL and QL) obtained were 0.32 and 0.96 mg·L−1, respectively, and precision tests (between different analysts and equipment) indicated acceptable Relative Standard Deviations (RSD < 5%). …”
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Statistical Modeling to Improve Time Series Forecasting Using Machine Learning, Time Series, and Hybrid Models: A Case Study of Bitcoin Price Forecasting by Moiz Qureshi, Hasnain Iftikhar, Paulo Canas Rodrigues, Mohd Ziaur Rehman, S. A. Atif Salar

“…The practical implication of this study is that financial analysts have a tool (the proposed model) that can yield insightful information about potential investments.…”
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Application of Machine Learning Models for Baseball Outcome Prediction by Tzu-Chien Lo, Chen-Yin Lee, Chien-Lin Chen, Tsung-Yu Hsieh, Che-Hsiu Chen, Yen-Kuang Lin

“…Conclusion: The results suggest that combining interpretable machine learning with sabermetrics provides valuable insights for coaches and analysts in professional baseball. Furthermore, incorporating performance weighting based on game context may further enhance model accuracy. …”
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The analysis of profitability and productivity of dairy cattle enterprises in konya province and their production and marketing problems by Aytekin Günlü, Engin Sakarya

“…According to the tesults of multiple regresion analysts the Marginal Value Productivity of input factors at leed, labour, depraciation costs, veterinary services, maintanence costs and the other costs were 0.81, 0.91; 6.30: 1.84; -5.63 and 5.73 respectively Returns to scale in Konya was 1.076. …”
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In vitro evaluation of mesalazine enteric-coated tablet dissolution by the reciprocating cylinder method by Jinxiang Wang, Yanqing Zhao, Gaihua He, Bin Guo, Hui Zhang

“…Method accuracy was tested at levels of 5%, 50%, 100%, and 120%, and the average recovery rates were 105.8%, 102.8%, 100.9%, and 101.2%, respectively. …”
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Explaining the Earnings Management Prediction Model Using the Hybrid of Machine Learning Methods by Hassan Hassani, Esfandiar Malekian Kallehbasti, Yahya Kamyabi

“…Also, to test the hypotheses, the criteria of average accuracy and type I and type ΙΙ errors were used. …”
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Financial instruments for ensuring national security: experience of Ukraine in military conditions by Oksana Radchenko, Leonid Tulush, Serhii Leontovych

“…As of September, the losses of the Ukrainian economy from the war are estimated according to various estimates, from USD 105 billion, or 70% of the average annual GDP over the past 5 years, to USD 600 billion, and this exceeds the level of GDP in 2021 by 3 times. …”
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