Innovation Strategy of Raw-Materials Companies in Conditions of Uncertainty on European Market of Gas (illustrated by the company ‘Gasprom’) by L. L. Razumnova, E. G. Lisovskaya

“…The article analyses the evolution of price strategy of the company 'Gasprom' after adoption of the Third Power Package by the EU in 2009 and proposes theoretical tools for devising the effective price strategy in the long-term period. …”
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Natural radioactivity of Pamir mineral waters (Tajikistan) by Chelnokov George, Lavrushin Vasilii, Kharitonova Natalia, Pavlov Andrey

“…Although low levels of 222Rn in Pamir's mineral water are unsuitable for balneological uses, natural items with similar characteristics can be included to forecast earthquakes and observe the current state of the geological environment.…”
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Trends in changes in competency expectations towards employees in the copper sector by Jolanta Religa, Malwina Kobylańska, Luis Lopes

“…The results of the foresight methods (Delphi method, backcasting and roadmapping techniques) were presented in the form of an integrated forecast of future competence needs for the whole copper value chain.…”
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Enhancing CO2 emissions prediction for electric vehicles using Greylag Goose Optimization and machine learning by Ahmed El-Sayed Saqr, Mohamed S. Saraya, El-Sayed M. El-Kenawy

“…In addition, statistical analyses such as ANOVA, sensitivity analysis, and T-test were used to substantiate performance differentiation between models. …”
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On the Causal Relationship Between Music Virality and Success by Gabriel P. Oliveira, Ana Paula Couto Da Silva, Mirella M. Moro

“…By using global chart data from streaming platforms, we model time series to represent songs’ viral and success evolution over time and then perform two distinct analyses over them. First, we use Granger Causality to assess whether musical virality can forecast success and vice versa. …”
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Generalized Rowlins–Shellhardt equation and its application for optimization of well operation modes by Vladimir A. Tolpaev, Kurban S. Akhmedov

“…The need to improve the accuracy and reliability of forecasting the productivity of gas and gas condensate wells in the long-term planning of gas production enterprises. …”
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Análise comparativa entre modelos de estoque Inventory models comparative analysis by Miguel Cezar Santoro, Gilberto Freire

“…Average operation cost per period is the performance measurement variable considered, calculated by using simulation of the models applied on sales temporal series. The paper analyses the effects, in the relative models performance, of the demand forecast accuracy and the use of minimum acquisition quantity in the active model. …”
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Spatiotemporal Study of COVID-19 in Fars Province, Iran, October-November 2020: Establishment of Early Warning System by Ali Semati, Azimeh Zare, Marjan Zare, Alireza Mirahmadizadeh, Mostafa Ebrahimi

“…Using time series and spatiotemporal analyses, this study aimed to establish an Early Warning System (EWS) for COVID-19 in Fars province Iran. …”
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Seasonal and Interannual Variation in Energy Balance in the Semiarid Grassland Area of China by Qun’ou Jiang, Enjun Ma, Jinyan Zhan, Nana Shi

“…This study applies the DLS model to simulate the land cover under the business as usual (BAU) scenario and then analyses the seasonal and interannual variation of energy balance in the semiarid grassland area of China based on the simulated land cover with the Weather Research and Forecasting (WRF) model. …”
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Development and Future Perspectives of Air Pollution Research Using Artificial Intelligence-Based Methods: A Bibliometric Review by Olgu Aydın, Hatice Kılar

“…Through bibliometric and citation analyses, the study systematically examines the literature, revealing an exponential growth in AI applications in air pollution research over time. …”
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Nomogram-Based Prediction of Survival in Stage IV Nasopharyngeal Carcinoma: A Retrospective Single-Center Study by Peng Yeh, Chih-Ming Chang, Li-Jen Liao, Chia-Yun Wu, Chen-Hsi Hsieh, Pei-Wei Shueng, Po-Wen Cheng, Wu-Chia Lo

“…Univariate and multivariate analyses were performed to evaluate the prognostic factors associated with overall survival (OS), disease-specific survival (DSS), and disease-free survival (DFS). …”
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Wavelet and Deep Learning Framework for Predicting Commodity Prices Under Economic and Financial Uncertainty by Lyubov Doroshenko, Loretta Mastroeni, Alessandro Mazzoccoli

“…This study employs wavelet analyses and wavelet energy-based measures to investigate the relationship between these indices and commodity prices across multiple time scales. …”
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Prediction by Sigmoid Multilayer Perceptron Artificial Neural Network Function and Model Selection for the Risk Factors Most Affected Human Immunodeficiency by Nazeera Sedeeq Kareem Barznji

“… The Multilayer Perceptron (MLP), a widely recognized type of Artificial Neural Network (ANN), was applied in this study to forecast the risk factors associated with human immunodeficiency conditions. …”
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Predictive modeling of longitudinal cracking in CRCP using PSO-tuned gradient boosting machines by Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada

“…Feature importance and sensitivity analyses identified L3 thickness, age, and AADTT as key predictors. …”
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The Role of «Soft» State Support in Developing Large Business by A. A. Blokhin, E. S. Krivova

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Synthesis, ADME, and In Silico Molecular Docking Study of Novel N-Substituted <i>β</i>-Carboline Analogs as a Potential Anticancer Agent by Sunil Gaikwad

“…In silico <b>ADME</b> prediction involves using computational methods to assess the absorption, distribution, metabolism, and excretion of compounds, as well as forecasting their drug-like properties.…”
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Global Sensitivity Analysis of CASC2D Hydrological Model Parameters by LI Xiao-ying, ZHANG Jin-hui, ZHAO Hong-jie

“…[Methods] The CASC2D model is relatively suitable for flood forecasting in small semi-arid watersheds. This study selected the region upstream of the Suyukou hydrological station in the eastern foothills of the Helan Mountains as the study area. …”
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Computational biology approach to predict molecular mechanism in cancer by Ansari Vikhar Danish Ahmad, Subur W. Khan, Qazi Yasar, Mohd Sayeed Shaikh, Mohd Mukhtar Khan

“…This underscores the importance of molecular docking in forecasting interactions, between drugs and their targets within the realm of cancer bioinformatics.…”
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Temporal and spatial evolution of agricultural carbon emissions in Fujian Province, China by Weiye LI, Zhiqiang CHEN, Zhibiao CHEN, Yuee ZENG, Wenjing HU

“…Analyzing the changes in agricultural carbon emissions (ACE) and their influencing factors can provide a sound basis for accurately estimating the carbon balance of agroecosystems. Such analyses can serve as a reference for developing policies to mitigate global climate change and promote sustainable agricultural development. …”
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Supervised Anomaly Detection in Univariate Time-Series Using 1D Convolutional Siamese Networks by Ayan Chatterjee, Vajira Thambawita, Michael A. Riegler, Pal Halvorsen

“…In time-series data analysis, identifying anomalies is crucial for maintaining data integrity and ensuring accurate analyses and decision-making. Anomalies can compromise data quality and operational efficiency. …”
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