Analytical forecasting of the optimal trajectory of mobile robot by A. A. Lobaty, D. V. Kapskiy, A. K. Ibrahim, I. A. Shishkovets

“…The validity of the proposed theoretical provisions is confirmed by an illustrative example, in which, for a simplified mathematical formulation of the problem, the optimal laws of changing the direction of the velocity vector and the parameters of the trajectory of a mobile robot are calculated by means of computer modeling. The illustrations show the trajectories of the robot through various given points in space and the law of changing the direction of the velocity vector.…”
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Geoelectric Evaluation of Groundwater Potential: A Case Study of Sabongida-Ora and Environs, Southern Nigeria by FI Chinyem

“…The results showed seven to eight geoeletrical layers with resistivity values ranging from 127Ωm to 767Ωm, 47Ωm to 672Ωm, 70Ωm to 1380Ωm, 4Ωm to 428Ωm and 21Ωm to 400Ωm for the first to eight layers respectively with lithologies consisting of clay, clayey sand and coarse grained sand as indicating in the computed model parameters and geoeletrical section. From the geoelectric section, the area shows a vertical and lateral lithologic heterogeneity as a result of variation in depositional conditions which made unit correlation between the VES stations difficult. …”
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A comprehensive dataset of tomato leaf images for disease analysis in BangladeshMendeley Data by Mangsura Kabir Oni, Tabia Tanzin Prama

“…This dataset serves as a comprehensive resource for researchers and learners to analyze and improve the health management of tomato plants through the development of advanced computational models.…”
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Pattems and models of flowering of some Gampanulaceae Juss. species by E. S. Fomin, T. I. Fomina

“…Observation data were processed by standard statistical methods and used to construct stochastic computer models of flowering shoots, while omissions in data were restored by using the maximum likelihood method. …”
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Geoelectric Evaluation of Groundwater Potential: A Case Study of Sabongida-Ora and Environs, Southern Nigeria by FI Chinyem

“…The results showed seven to eight geoeletrical layers with resistivity values ranging from 127Ωm to 767Ωm, 47Ωm to 672Ωm, 70Ωm to 1380Ωm, 4Ωm to 428Ωm and 21Ωm to 400Ωm for the first to eight layers respectively with lithologies consisting of clay, clayey sand and coarse grained sand as indicating in the computed model parameters and geoeletrical section. From the geoelectric section, the area shows a vertical and lateral lithologic heterogeneity as a result of variation in depositional conditions which made unit correlation between the VES stations difficult. …”
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Analysis of the Effectiveness of Arytenoidectomy and Posterior Cordectomy with the Use of CFD Airflow Measurements in Patients with BVFP: A Retrospective Study by Marta Gamrot-Wrzoł, Magdalena Marków, Daniel Janecki, Bogusława Orecka, Krzysztof Warmuziński, Maciej Misiołek

“…Using the CFD method, computer models of the glottis were made. Then, changes in air pressure gradient and maximum air velocity at the level of glottis were calculated, and local fields of pressure and air velocities were obtained. …”
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Impact of morphological traits and irrigation levels on fresh herbage yield of sorghum x sudangrass hybrid: Modelling data mining techniques. by Halit Tutar, Senol Celik, Hasan Er, Erdal Gönülal

“…Plant height of 251.22 cm, stem diameter of 7.03 mm, fresh herbage yield of 8010.69 kg da-1, crude protein ratio of 9.09%, acid detergent fiber 33.23%, neutral detergent fiber 57.44%, acid detergent lignin 7.43%, dry matter digestibility of 63.01%, dry matter intake 2.11%, and relative feed value of 103.02 were the descriptive statistical values that were computed. Model fit statistics, including coefficient of determination (R2), adjusted R2, root of mean square error (RMSE), mean absolute percentage error (MAPE), standard deviation ratio (SD ratio), Mean Absolution Error (MAE) and Relative Absolution Error (RAE), were used to evaluate the prediction abilities of the fitted models. …”
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Problematic issues of using the toolkit of economic cybernetics by V. Persianov, A. Kurbatova

“…Agreeing, that setting limits to the possibilities of computer modeling in advance is impossible, it must be recognized, that the machines created by cybernetics, remain only an objectification – a “truncated” (incomplete) form of any kind of human activity, including management (purposing, selection of criteria, decision-making, etc.).The goal setting requires at least a normal human intelligence. …”
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A Computational Approach to Understanding Agglutinative Structures in Urdu by Muhammad Shoaib Tahir, Mahnoor Amjad

“…The findings underscore the need for comprehensive linguistic resources and advanced computational models to enhance Urdu NLP. By addressing these challenges, the study aims to contribute to the development of more effective and scalable NLP tools, thereby improving access to Urdu-language content in digital platforms and advancing the broader field of computational linguistics for agglutinative languages.…”
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Fitting and comparison of calcium-calmodulin kinetic schemes to a common data set using non-linear mixed effects modelling. by Domas Linkevicius, Angus Chadwick, Guido C Faas, Melanie I Stefan, David C Sterratt

“…There are many computational models of calcium-calmodulin binding that capture various calmodulin features. …”
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INFLUENCE OF BEAM HEIGHT-COLUMN WIDTH RATIO ON SEISMIC BEHAVIOR OF RC MOMENT RESISTING FRAMES by A. Khalili, F. Nateghi Alahi

“…Secondly, the effect of the cast-in-situ slab in increasing the negative flexural strength of the beam is often underestimated or ignored, leading to the flexural strength of the columns being less than that of the beams. A series of computational models were created and analyzed in a parametric study to assess the impact of the ratio of beam height to column width on the seismic performance of MRFs. …”
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Data on hydrodynamic flow and aspiration mechanisms in a patient-specific pharyngolaryngeal model with variable epiglottis anglesMendeley Data by Amr Seifelnasr, Chen Sun, Peng Ding, Xiuhua April Si, Jinxiang Xi

“…These data are valuable for researchers aiming to understand the etiology of dysphagia and can be reused to validate computational models, guide future experimental designs, and inform clinical diagnostics and treatment strategies. …”
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Exploring the anti-metastatic potential of sunitinib and novel analogs in colorectal cancer: insights into HIF-1α mediated metastasis by Fatemeh B. Rassouli, Maryam M. Matin, Maryam M. Matin, Farzin Hadizadeh, Farzin Hadizadeh, Masoud Nejabat, Hossein Allahverdizadeh, Hamidreza Jamali, Shahin Gharedaghi, Halimeh Hassanzadeh

“…The expression of HIF1A was evaluated in seven CRC cell lines, and computational modeling was carried out to define the interaction of sunitinib with HIF-1α. …”
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Next-generation sequencing and immuno-informatics for designing a multi-epitope vaccine against HSV-1-induced uveitis by He Cao, Zhi Cao, Yue Han, Jing Shan

“…Molecular docking simulations showed strong binding interactions between the vaccine and TLR-9, suggesting enhanced antigen presentation capabilities.ConclusionThis comprehensive immuno-informatics approach provides a precision immunotherapy strategy for uveitis by leveraging computational modeling and predictive analytics to design a multi-epitope vaccine for HSV-1. …”
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Enhancing CO₂ Adsorption on MgO: Insights into Dopant Selection and Mechanistic Pathways by Shunnian Wu, W. P. Cathie Lee, Hashan N. Thenuwara, Xu Li, Ping Wu

“…Our comprehensive research, integrating computational modeling and experimental work supported by scanning electron microscopy and thermal gravimetric analysis, confirmed the superior CO₂ adsorption capabilities of C-doped MgO. …”
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The preference for surprise in reinforcement learning underlies the differences in developmental changes in risk preference between autistic and neurotypical youth by Motofumi Sumiya, Kentaro Katahira, Hironori Akechi, Atsushi Senju

“…Results We found a significant difference in nonlinear developmental changes in risk preference between the AUT and NTP groups. The computational modeling approach with reinforcement learning models revealed that individual preferences for surprise modulated such preferences. …”
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Neuroprotective Potential of <i>Origanum majorana</i> L. Essential Oil Against Scopolamine-Induced Memory Deficits and Oxidative Stress in a Zebrafish Model by Ion Brinza, Razvan Stefan Boiangiu, Iasmina Honceriu, Ahmed M. Abd-Alkhalek, Samir M. Osman, Omayma A. Eldahshan, Elena Todirascu-Ciornea, Gabriela Dumitru, Lucian Hritcu

“…In parallel, we performed in silico predictions (research conducted using computational models) of the pharmacokinetic properties of the main compounds identified in OmEO, using platforms such as SwissADME, pKCSM, ADMETlab 2.0, and ProTox-II. …”
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Possibilities of using immersive learning based on abstract highly formalized mathematical models for training future mathematics teachers by Valentina A. Matveeva, Olga Yu. Zaslavskaya

“…Thus, the technology under consideration can be called ‘weak immersive learning’, since visual effects and creation of a computer model require the direct participation of the student and theoretical knowledge of the subject.…”
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Spectroscopic and Theoretical Studies of Hg(II) Complexation with Some Dicysteinyl Tetrapeptides by Elliot Springfield, Alana Willis, John Merle, Johanna Mazlo, Maria Ngu-Schwemlein

“…Their complexation with mercury(II) was studied by spectroscopic methods and computational modeling. UV-vis studies confirmed that mercury(II) binds to the cysteinyl thiolates as indicated by characteristic ligand-to-metal-charge-transfer transitions for bisthiolated S-Hg-S complexes, which correspond to 1 : 1 mercury-peptide complex formation. …”
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Biomechanical Analysis of the Forces Exerted during Different Occlusion Conditions following Bilateral Sagittal Split Osteotomy Treatment for Mandibular Deficiency by Yuan-Han Chang, Man-Yee Chan, Jui-Ting Hsu, Han-Yu Hsiao, Kuo-Chih Su

“…This study constructed a finite element analysis computer model of a miniplate implanted in the lower jaw. …”
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