Evaluation of the vibration state and determination of the stress-strain state of the trash-rack structure of the hydroelectric power plants by A. S. Antonov, N. P. Karablin, K. Ju. Baud, I. V. Baklykov

“…The second block is mathematical modelling. The hydraulic regime and the stress-strain state were specified, frequencies and forms of natural vibrations of the structure were determined. …”
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Development of a structural equation model for sustainable construction practices in Nigeria by H. C. O. Unegbu, D. S. Yawas, B. Dan-asabe, A. A. Alabi

“…Government policies exhibited the most considerable influence across three sustainability domains: environmental sustainability (ENS), social sustainability (SS), and economic sustainability (ES), as indicated by GPR → ENS (β = 0.87), GPR → SS (β = 0.68), and GPR → ES (β = 0.72), all p < 0.05. The derived mathematical model for Sustainable Construction Practices (SCP) is SCP = 0.01 + 0.5x + 0.3y + 0.2z, where x, y, and z represent environmental, social, and economic sustainability, respectively. …”
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Data mining approach in detecting inaccurate financial statements in government-owned enterprises by Amra Gadžo, Mirza Suljić, Adisa Jusufović, Slađana Filipović, Erna Suljić

“…Leveraging the identified attributes, a mathematical model could potentially be formulated to effectively predict financial statements of government-owned enterprises in FBiH. …”
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Deep learning solutions for inverse problems in advanced biomedical image analysis on disease detection by Amal Alshardan, Hany Mahgoub, Nuha Alruwais, Abdulbasit A. Darem, Wafa Sulaiman Almukadi, Abdullah Mohamed

“…Abstract Inverse problems in biomedical image analysis represent a significant frontier in disease detection, leveraging computational methodologies and mathematical modelling to unravel complex data embedded within medical images. …”
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Provide a reliable location-allocation model in the humanitarian supply chain network using combined transport and the application of feasibility-robust planning by Alireza Hamidieh, Maryam Besharat Meymandi

“…Subsequently, mathematical modeling was distributed by considering the reliability of the earthquake crisis distribution hub and relief according to the topography of the study area. …”
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Jean-Baptiste Camps, La Chanson d’Otinel. Édition complète du corpus manuscrit et prolégomènes à l’édition critique by Jean-Baptiste Camps

“…Methods from the fields of mathematical modelling, statistics, algorithmic, and artificial intelligence are put to use, as well as processes seeking to allow interoperability, scalability, and systematisation of editorial work (optical character recognition, linguistic tagging, collation), in a workflow centred on analysis. …”
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Natural Polymer Derivative-based pH responsive Nanoformulations Entrapped Diketo-tautomers of 5-fluorouracil for Enhanced Cancer Therapy by Anbazhagan Thirumalai, Koyeli Girigoswami, Karthick Harini, Venkatakrishnan Kiran, Pazhani Durgadevi, Agnishwar Girigoswami

“…Conclusion: In acidic conditions, there is a greater release of 5-FU than neutral pH levels, indicating a pH-responsive release profile beneficial for cancer treatment, with the release mechanism of OSANPs following Fickian diffusion as identified by a Korsmeyer-Peppas mathematical model and the formu¬lation showing improved therapeutic efficacy. …”
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Numerical Simulation of Distribution Characteristics of Hydraulic Fish Habitat Index in 90° Spur Dike Areas by JIANG Li, DENG Xiaolong, ZHONG Liang, CHEN Jingyuan, ZHONG Xueyi, LIU Xiangqian, FU Qiang

“…The study of fish habitat in spur dike areas is of great significance to the ecological protection of rivers.In this paper,the distribution characteristics of the hydraulic fish habitat index in a spur dike area are discussed by a three-dimensional (3D) mathematical model for water flow.The results reveal that ① the flow velocity increases with the Froude number Fr;the width of the back flow area behind the dike decreases gradually,and the main flow area changes from rapidly varied flow to gradually varied flow and gradually returns to uniform flow.② The flow velocity gradient G in the main flow and back flow areas is small;the areas with G&gt;2 are mainly concentrated on the left and right banks of the water channel and near the spur dike head,and on the cross-section,G declines as Fr grows.③ The distribution characteristics of the kinetic energy gradient M on the section of the spur dike from upstream to downstream are similar to those of G.The high-value areas of M appear on the right bank of the water channel and in the section with the relative channel width B⁺ of 0.25~0.40 near the spur dike head,but M is small on the left bank of the water channel and has little change along the way.④ With the increase in Fr,the velocity suitability S_u in the upstream of the spur dike decreases,while S_u at the spur dike and in the downstream cross-section of the spur dike increases.S_u of the back flow area in the downstream of the spur dike is small,generally not more than 0.3,while S_u in the main flow area may exceed 0.8,which indicates that the spawning habitat of fish in this area is better.The research results can provide a reference for the protection of fish resources in spur dike areas and the construction of ecological waterway projects.…”
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Nanoscale Titanium Oxide Memristive Structures for Neuromorphic Applications: Atomic Force Anodization Techniques, Modeling, Chemical Composition, and Resistive Switching Propertie... by Vadim I. Avilov, Roman V. Tominov, Zakhar E. Vakulov, Daniel J. Rodriguez, Nikita V. Polupanov, Vladimir A. Smirnov

“…Three anodization synthesis techniques were considered to allow the formation of structures with different sizes and productivity: nanodot, lateral, and imprint. The mathematical model allowed us to calculate the processes of oxygen ion transfer to the reaction zone; the growth of the nanostructure due to the oxidation of the titanium film; and the formation of TiO, Ti₂O₃, and TiO₂ oxides in the volume of the growing nanostructure and the redistribution of oxygen vacancies and conduction channel. …”
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Invited perspectives: Integrating hydrologic information into the next generation of landslide early warning systems by B. B. Mirus, B. B. Mirus, T. Bogaard, R. Greco, M. Stähli

“…Given the increasing number of studies across the globe using hydrologic monitoring, mathematical modeling, or both in combination, it is now possible to make some insights into the advantages versus limitations of this approach. …”
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A novel approach to multi-objective portfolio selection: modeling emerging financial markets using satisfaction functions and fuzzy values by Milad Saleki, Mohamad Saber Falah Nejad, Davood Shishebori, Mohammad Aref Dehghani Tafti

“…In other words, the proposed model outperformed the base model in all the objectives under study.Originality/Value: As distinguishing features of the proposed model of this research, one can mention: 1) constructing and using fuzzy distribution functions and calculating ideal values and expected ranges for all desired objectives considering the conditions of the examined market research using simple mathematical modeling, 2) utilizing the experience of financial market experts in planning model for selecting suitable investment portfolios in emerging financial markets, 3) presenting an approach to calculating portfolio risk in conditions of information scarcity in the problem environment using fuzzy theory, 4) development of the fuzzy benchmark-criterion method for weighting the objectives under study in the problem considering the expertise of financial market experts, and 5) simple modeling, considering interval fuzzy values in the model, and being usable for all individuals with different levels of investment knowledge.…”
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Influenza A virus vaccine research conducted in swine from 1990 to May 2018: A scoping review. by Sheila Keay, Zvonimir Poljak, Mackenzie Klapwyk, Annette O'Connor, Robert M Friendship, Terri L O'Sullivan, Jan M Sargeant

“…Study of transmissibility under conditions of natural exposure (n = 7), use of mathematical modelling (n = 11), and autogenous vaccine research reported in journals (n = 7), was limited.…”
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Photonics-based modular multistate digital coherent system by I. V. Unchenko, A. A. Emelyanov

“…The results of calculating radiation patterns and mathematical modeling the beam deflection of a broadband antenna array are presented along with antenna systems based thereon.Conclusions. …”
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Second order slip micropolar MHD hybrid nanofluid flow over a stretching surface with uniform heat source and activation energy: Numerical computational approach by Syed Arshad Abas, Hakeem Ullah, Mehreen Fiza, Ali Akgul, Aasim Ullah Jan, Magda Abd El-Rahman, Seham M. Al-Mekhlafi

“…Methodology: A mathematical model is formulated based on boundary-layer approximations, leading to a system of partial differential equations (PDEs) that describe the flow, thermal, and concentration fields. …”
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A retrial queueing system with processor sharing and impatient customers by V. I. Klimenok

“…The problem of constructing and investigating a mathematical model of a stochastic system with processor sharing, repeated calls, and customer impatience is considered. …”
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The Effect of Interlayer on Water Cut Rise in a Bottom Water Reservoir by Yunpeng Hu, Xiaoling Zhang, Wei Ding, Ziyun Cheng, Liangchao Qu, Penghui Su, Chunliu Sun, Wenqi Zhang

“…In this paper, the mathematical model of two-phase flow in the bottom water reservoir with the interlayer is proposed, and the numerical solution of the model is obtained by a finite element method. …”
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Multi mode coordinated control algorithm for DC near-field photovoltaic based on adaptive mutation particle swarm optimization by Hua Weng, Weijun Zhu, Jun Wu

“…The operation of distributed photovoltaic system is divided into five modes: single-machine reactive power regulation, multi-machine reactive power coordination, active power reduction mode in multi machine systems, Existing power recovery models and reactive power recovery mode; So the mathematical model of the inverter main controller is constructed, using adaptive mutation particle swarm optimization algorithm to solve the model, in order to improve solving efficiency and accuracy Committed to overcoming the limitations of slow convergence speed and susceptibility to local optima in particle swarm optimization algorithms, in order to optimize algorithm performance, when optimizing the particle swarm optimization algorithm, synchronously tuning the learning factor and inertia weight parameters is aimed at accelerating the convergence process and improving the accuracy of the algorithm. …”
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Lie and Riccati Linearization of a Class of Liénard Type Equations by A. G. Johnpillai, C. M. Khalique, F. M. Mahomed

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A Radiative Chemical Process for the Methylene Blue Degradation by Natural Convective Nanofluid Flow over an Upright Cone by E. Ragulkumar, J. Vinoth Kumar, N. Abirami, P. Sambath, K. K. Viswanathan

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A New Sixth-Order Finite Difference Compact Reconstruction Unequal-Sized WENO Scheme for Nonlinear Degenerate Parabolic Equations by Liang Li, Yan Zhang, Jun Zhu

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