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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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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'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

“…<br />The development reached in obtaining mathematic models for these curves has allowed the industry research engineer and<br />student to be closer to the comprehension of the influential variables in the austenitic transformation. …”
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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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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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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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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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Beta Diversity Patterns and Drivers of Macroinvertebrate Communities in Major Rivers of Ningxia, China by Qiangqiang Yang, Zeyu Wei, Xiaocong Qiu, Zengfeng Zhao

“…Nonetheless, the intrinsic complexity of community alterations and their non-linear reactions to gradients of explanatory variables present considerable obstacles to measuring the determinants of beta diversity. …”
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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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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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Improving Mechanical Properties of Nanocomposite-based Epoxy by High-impact Polystyrene and Multiwalled Carbon Nanotubes: Optimizing by a Mixture Design Approach by Yasser Rostamiyan

“…In the current study the influence of weight percentage of HIPS, weight percentage of CNT and hardener content on damping 1st and damping 2nd properties of epoxy/HIPS/CNT hybrid composite wase valuated. Mixture design methodology was employed to generate mathematical models for predicting damping 1st and damping 2nd behaviors of new mentioned hybrid nanocomposite as function of physical factors and optimizing desired mechanical properties. …”
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Elastostatic analysis of tapered FGM beams with spatially varying material properties by Justín Murín, Stephan Kugler, Juraj Paulech, Juraj Hrabovský, Vladimír Kutiš, Herbert Mang, Mehdi Aminbaghai

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Predicting tensile and fracture parameters in polypropylene-based nanocomposites using machine learning with sensitivity analysis and feature impact evaluation by Pouya Rajaee, Faramarz Ashenai Ghasemi, Amir Hossein Rabiee, Mohammad Fasihi, Behnam Kakeh, Alireza Sadeghi

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TemDeep: a self-supervised framework for temporal downscaling of atmospheric fields at arbitrary time resolutions by L. Wang, Q. Li, Q. Li, Q. Lv, Q. Lv, X. Peng, X. Peng, W. You

“…However, the acquisition of high-resolution data is limited due to excessive computational demands and substantial storage needs in numerical models. Current deep learning methods for statistical downscaling still require massive ground truth with high temporal resolution for model training. …”
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Evaluation of transportation noise in urbanised areas. A case study by Alfredo CALIXTO, Cristiane PULSIDES, Paulo Henrique Trombetta ZANNIN

“…Results of the prediction models agreed well with measured noise levels, especially for the model considering the two independent variables, VF and HV. …”
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Do water–energy dynamics drive plant species richness patterns on the high alpine Tibetan plateau? by Prakash Bhattarai, Ole R. Vetaas, Guang Zhao

“…We performed detrended correspondence analysis and generalized linear models to explore the effect of energy and water variables on species composition and species richness, respectively. …”
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