Impacts of anthropogenic nitrogen input and land use change on gross primary productivity in the Dongting Lake basin of China by Wenbing Ouyang, Binghao Jia, Lei Cai, Longhuan Wang, Ruixueer Wu, Yanbin You

“…Anthropogenic activities enhance atmospheric reactive nitrogen emission and deposition, leading to changes in gross primary productivity (GPP) by affecting vegetation species composition, growth conditions and soil properties. …”
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Latitude and Community Diversity Primarily Explain Invasion Patterns of Widespread Invasive Plants in Small, Subtropical Lakes by Samuel A. Schmid, Adrián Lázaro‐Lobo, Cory M. Shoemaker, Andrew Sample, MacKenzie Cade, Gary N. Ervin, Gray Turnage

“…The aquatic plant communities of the lakes were surveyed using littoral zone point sampling. Generalized linear models for each species were fit with the probability of occurrence (Pocc) as the response variable and Secchi depth, plant species diversity (α‐diversity), point richness, perimeter, latitude, and longitude as potential predictors; all predictors were subjected to model selection to define the best‐fit models. …”
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Promoting tactical-technical actions during small-sided soccer games: A narrative review on constraints’ manipulation within ecological teaching models (Promoción de acciones técn... by Eduardo de Paula Amorim Borges, Gibson Moreira Praça, Lucas Savassi Figueiredo, Carlos Alexandre Vieira, Gustavo De Conti Teixeira Costa

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Formation of forest mensuration indicators of Pseudotsuga menziesii (Mirb.) Franco in artificial plantations of the western region of Ukraine by Iurii Debryniuk, Stepan Myklush, Yuriy Myklush

“…Due to the significant variability of the share of P. menziesii in the stand composition, the plantations were divided into four groups based on the share percentage of the tree species (10-20%; 30-40%; 50-70%; 80-100%). …”
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The impact of knowledge management on business performance with emphasis on the role of accounting information quality (Case study: financial institutions listed on the Tehran Capi... by Rahele Mashaykhi, Ahmad Pifeh, Hamed Ahmadzade

“…Also, the value of the Q2 index for the main endogenous variable of business performance is 0.419, which indicates that the predictive power of the model regarding this variable is at a desirable and strong level. …”
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The Upper Stratospheric Solar Cycle Ozone Response by W. T. Ball, E. V. Rozanov, J. Alsing, D. R. Marsh, F. Tummon, D. J. Mortlock, D. Kinnison, J. D. Haigh

“…We recommend the BASICv2 ozone composite to best represent historical upper stratospheric solar variability, and that those based on SBUV alone should not be used.…”
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Demand study of freight transportation via railway of four commodity groups: A case study on Costa Rica's Pacific Coast Route by Maria Estefania Coto-Solano

“…Trends in the expected share were analyzed to identify variables that may improve the attractiveness of the railway service and the participation of clients along the route from the country's main economic activities which includes the following: agriculture & livestock, manufacturing, minerals, and forestry.The four-step transportation model was chosen for its suitability towards this case study; where available data sets were limited, the information was aggregated into yearly values, and the network was defined with few transportation zones. …”
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Urban Air Mobility Vertiport’s Capacity Simulation and Analysis by Antoni Kopyt, Sebastian Dylicki

“…The simulation evaluates critical variables such as vertiport dimensions, UAS fleet composition, and mission duration ranges while emphasizing scalability, safety, and compliance with evolving regulatory standards. …”
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'Selección e implementación de un modelo para el inicio de la transformación perlítica durante el enfriamiento en los aceros con baja aleación. R. // Selection and use of a model f... by R. Lobaina Sánchez, L. Goyos Pérez

“…As a result, we show a model for the starting pearlitic<br />transformation curves, depending of the steel composition, the grain size, the undercooling temperature, and the activation<br />energy. …”
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Responses of grassland soil mesofauna to induced climate change by Iwona Gruss, Marta Czarniecka-Wiera, Sebastian Świerszcz, Magdalena Szymura, Tomasz Szymura, Małgorzata W. Raduła

“…This study aimed to test the effects of induced climate change on the composition of soil mesofauna and vascular plant species in semi-natural grasslands. …”
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Evaluation of machine learning algorithms in tunnel boring machine applications: a case study in Mashhad metro line 3 by Morteza Abbasi, Amir Hossein Namadchi, Mehdi Abbasi, Mohsen Abbasi

“…This study investigates Mashhad Metro Line 3, where a TBM was employed to excavate a 1831-m section through variable soil compositions, including significant cobble and boulder content, presenting unique challenges to performance prediction. …”
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The significance of green innovation efficiency of green low-carbon circular economy for sustainable cities in western China—Empirical evidence from Chongqing municipality by Panfeng Li

“…In this model, SO2 concentration was the dependent variable, GIE was the core explanatory variable, and control variables included openness to external trade (EXT), information technology level (ITL), urban cultural level (CUL), and research and development investment (RDI).ResultsThe entropy weight-TOPSIS model revealed that Chongqing's GLCCE composite index increased from 0.405 in 2014 to 0.684 in 2023, with a peak of 0.866 in 2020, indicating significant overall progress in GLCCE implementation. …”
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Sustainable Mineral Processing Technologies Using Hybrid Intelligent Algorithms by Olga Shiryayeva, Batyrbek Suleimenov, Yelena Kulakova

“…The objective is to enhance separation efficiency and reduce chromium losses through real-time optimization of process parameters under variable feed conditions. The method addresses ore composition fluctuations by integrating three components: Physical modeling of particle motion, regression analysis, and neural network-based prediction. …”
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Environmental Data Analytics for Smart Cities: A Machine Learning and Statistical Approach by Ali Suliman AlSalehy, Mike Bailey

“…This study analyzes spatiotemporal CO patterns and builds accurate predictive models using five years (2018–2022) of data from ten monitoring stations, combined with meteorological variables. …”
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Beta Diversity Patterns and Drivers of Macroinvertebrate Communities in Major Rivers of Ningxia, China by Qiangqiang Yang, Zeyu Wei, Xiaocong Qiu, Zengfeng Zhao

“…The findings demonstrate that the optimal parameter-based geographical detector (OPGD) model identified a 3000 m circular buffer as the spatial scale at which landscape structure most significantly influences water quality. …”
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A comprehensive review of machine learning applications in forecasting solar PV and wind turbine power output by Ian B. Benitez, Jai Govind Singh

“…Key features for SPVPO forecasting include solar irradiance, ambient temperature, and prior SPVPO, while wind speed, turbine speed, and prior wind power output are crucial for WTPO forecasting. Moreover, ensemble models, support vector machines, Gaussian processes, hybrid artificial neural networks, and decomposition-based hybrid models exhibit promising forecasting accuracy and reliability. …”
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Propagation of Shear Horizontal Wave at Magneto-Electro-Elastic Structure Subjected to Mechanically Imperfect Interface by Anandakrishnan Akshaya, Santosh Kumar, Kulandhaivel Hemalatha

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Thermoelastic Analysis of a Functionally Graded Simple Blade Using First-Order Shear Deformation Theory by Manouchehr Mohammad Hosseini Mirzaei, Mohammad Arefi, Abbas Loghman

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Large Deformation Elastic Analysis of Pressurized FGM Thick Cylindrical Shells with Nonlinear Plane Elasticity Theory (NPET) by Navid Bahadorani, Mehdi Ghannad, Mohammad Hossein Sohani, Bahman Modiri

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Numerical Investigation on Free Vibration Response of Bi-Directional Porous Functionally Graded Circular/Annular Plates by Dilsukh Vasara, Sumit Khare, Akhilesh Malguri, Rahul Kumar

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