Calculating the true level of predictors significance when carrying out the procedure of regression equation specification by Nikita A. Moiseev

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Multidimensional Meteorological Variables for Wind Speed Forecasting in Qinghai Region of China: A Novel Approach by He Jiang, Luo Shihua, Yao Dong

“…The objective is to develop a hybrid model with multidimensional meteorological variables for forecasting the wind speed accurately. …”
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Trends and socioeconomic inequalities of recommended antenatal care services utilization in Ethiopia: A decomposition analysis using Ethiopian nationwide Demographic Health Surveys... by Yawkal Tsega, Abel Endawkie, Gebeyehu Tsega, Asnakew Molla Mekonen, Yeshimebet Ali Dawed, Chad Stecher

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The relationship between the inflation rate and the unemployment rate in Poland and their long-term associations with selected macroeconomic variables by Jan Koterwa, Hubert Kycia, Anna Czapkiewicz

“…The impulse response function and forecast error variance decomposition were also used to examine the interactions between variables. …”
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Spatial variability and convergence of the coupled relationship between agricultural carbon emission reduction and rural revitalization in China by Hongli Yang, Kai Feng

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Enhanced thermal performance of variable cross-section solar collectors: a case study in Santiniketan, India by Pranab Kanti Roy

“…Abstract We present analytical models for variable cross-section absorber plate solar collectors, where the thermal conductivity, overall heat loss coefficient, and incident solar heat flux are power-law functions of temperature. …”
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Future methane fluxes of peatlands are controlled by management practices and fluctuations in hydrological conditions due to climatic variability by V. Tyystjärvi, T. Markkanen, L. Backman, M. Raivonen, A. Leppänen, X. Li, P. Ojanen, P. Ojanen, K. Minkkinen, R. Hautala, M. Peltoniemi, J. Anttila, R. Laiho, A. Lohila, R. Mäkipää, T. Aalto

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Assessing the stability of indoor farming systems using data outlier detection by Jean Pompeo, Ziwen Yu, Chi Zhang, Songzi Wu, Ying Zhang, Celina Gomez, Melanie Correll

“…A generalized linear model regression analysis was conducted to examine the relationship between cumulative Agr.Ops and the z-scores of air temperature residuals, which served as an indicator of system stability. …”
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Variabilities of dissolved inorganic carbon along chain-shaped karst river-reservoir continuum: The control of cascade damming by Xinyu Kang, Tao Zhang, Jianhong Li, Jinke Chen, Peng Chen, Xinlu Su, Yaru Jiang, Wenqing Feng, Junbing Pu

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Assessing the impact of macroeconomic variables on environmental quality in the MENA using logarithmic mean divisia and co-integration panel by Ali Afzali, Vahid Majed

“…In the first step, the share of each macroeconomic variables was investigated by using the Logarithmic Mean Divisia Index, Which is considered one of the most widely used decomposition techniques in the short term. …”
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Going long, going short, issue or liquidate? Corporate debt maturity of Mexican public firms by Lianet Farfán-Pérez, Jorge O. Moreno, María de las Mercedes Adamuz

“…Design/methodology/approach – This study, using a Tobit model for panel data and measuring maturity as a time variable, shows that size, liquidity and leverage, among other firm characteristics, as well as the market interest rate, explain debt maturity. …”
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Global index of the acoustic quality of sacral buildings at incomplete information by Krzysztof KOSAŁA

“…The decomposition versus singular values was done on the previously built empirical model of the index observation matrix of sacral objects. …”
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Decomposing the Household Herding Behavior in Stock Investment: The Case of China by Yung-Ching Tseng, I.-Fan Hsiao, Guo-Chen Wang

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A Rolling-Bearing-Fault Diagnosis Method Based on a Dual Multi-Scale Mechanism Applicable to Noisy-Variable Operating Conditions by Jing Kang, Taiyong Wang, Ye Wei, Usman Haladu Garba, Ying Tian

“…Ultimately, the signal that has been denoised is utilized as input for the DWMFCNN model to recognize different kinds of rolling-bearing faults. …”
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New State Identification Method for Rotating Machinery under Variable Load Conditions Based on Hybrid Entropy Features and Joint Distribution Adaptation by Xiaoming Xue, Nan Zhang, Suqun Cao, Wei Jiang, Jianzhong Zhou, Liyan Liu

“…Finally, five cases with the training and testing set under variable load conditions were used to demonstrate the performance of the proposed method, and comparisons with some other diagnosis models combined with the same features and other dimensionality reduction methods were also discussed. …”
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Analytical and numerical computations for bioconvective flow Maxwell nanofluid with variable thermal properties using homotopy analysis method and finite difference scheme by Jawaher Alzahrani

“…Based on stated assumptions, the problem is modeled in set of partial differential equations (PDE’s). …”
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Sky images based photovoltaic power forecasting: A novel approach with optimized VMD and Vision Mamba by Chenhao Cai, Leyao Zhang, Jianguo Zhou, Luming Zhou

“…To improve the accuracy of photovoltaic power forecasting, this paper proposes a novel hybrid predictive model that integrates Optimized Variational Mode Decomposition (VMD), Vision Mamba (Vim) for extracting features from sky images, and advanced mechanisms like Patch Embedding and Variate-wise Cross-Attention. …”
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On One Co-Integration Issue of Trade Links of Azerbaijan, Russia, Belarus and Kazakhstan by E. G. Orudzhev, S. M. Huseynova

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System Optimization Scheduling Considering the Full Process of Electrolytic Aluminum Production and the Integration of Thermal Power and Energy Storage by Yulong Yang, Han Yan, Jiaqi Wang, Weiyang Liu, Zhongwen Yan

“…Firstly, to explore the differentiated response capabilities of various devices such as high-energy-consuming electrolytic aluminum units, thermal power units, and energy storage devices to effectively address uncertain variables in the power system, a Variational Mode Decomposition method is introduced to construct differentiated response methods for its low-frequency, medium-frequency, and high-frequency components. …”
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Assessing spatial variability of soil macro fauna and tree canopy using fractal theory (Case study: Riparian Forest of Maroon River) by Shaieste Gholami, ehsan sayad, Hamid Taleshi

“…The study of distribution and fractal behavior of variables showed intensive variability in the study area. …”
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