MINERAL FORMATION CONDITIONS IN ACID MAGMATIC SYSTEMS RELATED TO THE FORMATION OF MASSIVE SULFIDE DEPOSITS OF THE URALS AND ALTAI-SAYANY AREA by V.A. Simonov, V.V. Maslennikov, A.V. Kotlyarov

“…The features of rare and rare earth element patterns in melt inclusions in quartz indicate the similarity of acid magmatic systems of massive sulfide deposits in the Urals and Altai-Sayany region with present-day suprasubduction melts in the ocean-continent transition zones. Computational modeling using data on melt inclusions in quartz confirms our previous conclusions (Simonov, Maslennikov, 2020) that the occurrence of contrasting (basic and felsic) volcanic complexes with massive sulfide deposits in the Urals and Altai-Sayany region is a result of evolution of basaltoid magmas.…”
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Fractal analysis and microstructure development PVDF based multifunctional material by Peleš-Tadić Adriana, Vuković George, Kojović Aleksandar, Stojanović Dušica, Vlahović Branislav, Obradović Nina, Pavlović Vladimir

“…Fractal analysis has been performed by using scanning electron microscope micrographs and computational modeling tools. Theory of Iterated Function Systems and Voronoi tessellation, have been used for modeling PVDF porous structures. …”
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Workload Comparison of Contemporary Interval Throwing Programs and a Novel Optimized Program for Baseball Pitchers by Brittany Dowling, Christopher M Brusalis, John T Streepy, Alexander Hodakowski, Patrick J Pauley, Dave Heidloff, Grant E Garrigues, Nikhil N Verma, Glenn S Fleisig

“…Finally, an original ITP was devised based upon a computational model that gradually increases ACWR over time and finished with an optimal chronic workload…”
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Analysis of water based Casson hybrid nanofluid (NiZnFe2O4+MnZnFe2O4) flow over an electromagnetic actuator with Cattaneo–Christov heat-mass flux: A modified Buongiorno model by S. Baskaran, R. Sowrirajan, S. Divya, S. Eswaramoorthi, K. Loganathan

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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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Variable domain mutational analysis to probe the molecular mechanisms of high viscosity of an IgG1 antibody by Jing Dai, Saeed Izadi, Jonathan Zarzar, Patrick Wu, Angela Oh, Paul J. Carter

“…Here, we combined X-ray crystallography with computational modeling to predict regions of an anti-glucagon receptor (GCGR) IgG1 antibody prone to self-interaction. …”
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Basal ganglia components have distinct computational roles in decision-making dynamics under conflict and uncertainty. by Nadja R Ging-Jehli, James F Cavanagh, Minkyu Ahn, David J Segar, Wael F Asaad, Michael J Frank

“…Through the application of novel computational modeling tools in tandem with direct neural recordings from human BG areas, we find that neural dynamics in the theta band manifest as variations in a collapsing decision boundary as a function of conflict and uncertainty. …”
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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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Numerical simulation of rotating flow of CNT nanofluids with thermal radiation, ohmic heating, and autocatalytic chemical reactions by S. Eswaramoorthi, Saleem Nasir, K. Loganathan, M. Satyanarayana Gupta, Abdallah Berrouk

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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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Application of the weighted histogram method for calculating the thermodynamic parameters of the formation of oligodeoxyribonucleotide duplexes by I. I. Yushin, V. M. Golyshev, D. V. Pyshnyi, A. A. Lomzov

“…The ongoing pilot studies aimed at devising methods for predicting the properties of NAs by computational modeling techniques are based only on knowledge about the structure of oligonucleotides. …”
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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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Alumina-enriched sunflower bio-oil in machining of Hastelloy C-276: a fuzzy Mamdani model-aided sustainable manufacturing paradigm by Binayak Sen, Abhijit Bhowmik, Gurbhej Singh, Vishwesh Mishra, Shantanu Debnath, Rustem Zairov, Muhammad Imam Ammarullah

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Short Pulse Epiretinal Stimulation Allows Focal Activation of Retinal Ganglion Cells by Laurin X. Koppenwallner, Gunther Zeck, Paul Werginz

“…Axonal thresholds were significantly higher for all pulse durations, with the ratio between axonal and somatic thresholds strongly increasing with decreasing pulse duration (1.32 and 4.39 for pulse durations of 500 and <inline-formula> <tex-math notation="LaTeX">$10\mu $ </tex-math></inline-formula>s, respectively). Computational modeling points to somatic polarization as the underlying mechanism for lower somatic thresholds. …”
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Self-Emulsifying Drug Delivery Systems (SEDDS): Transition from Liquid to Solid—A Comprehensive Review of Formulation, Characterization, Applications, and Future Trends by Prateek Uttreja, Indrajeet Karnik, Ahmed Adel Ali Youssef, Nagarjuna Narala, Rasha M. Elkanayati, Srikanth Baisa, Nouf D. Alshammari, Srikanth Banda, Sateesh Kumar Vemula, Michael A. Repka

“…Innovations such as personalized 3D-printed SEDDS, biologics delivery, and targeted systems demonstrate their potential for diverse therapeutic applications. Computational modeling and in silico approaches further accelerate formulation optimization. …”
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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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Computational and experimental study of swirling ring flow by A. A. Kishkin, Yu. N. Shevchenko, A. A. Zuev, D. A. Zhuikov

“…In the course of work on the energy perfection of thermal control systems for spacecraft with a twophase circuit, the issue of partial regeneration of thermal energy into electrical energy in a low-speed turbogenerator is considered, part of the design work requires computational modeling during the transport of swirling flows in the axial direction from the external input to the input plane into the impeller, which determines the need for theoretical and experimental elaboration of the problem. …”
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Water Hammer Modelling and Simulation by GIS by K. Hariri Asli, A. K. Haghi, H. Hariri Asli, E. Sabermaash Eshghi

“…This work defined an Eulerian-based computational model compared with regression of the relationship between the dependent and independent variables for water hammer surge wave in transmission pipeline. …”
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Optimization of waste heat recovery system for mobile compressor unit for compressing natural gas by I. D. Obukhov

“…This paper presents the methodology and results of optimization of the waste heat recovery system (WHRS) of a mobile compressor unit (MCU) designed to compress natural gas using a computer model in the MatLab with the CoolProp thermodynamic package. …”
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Model of 2D-imaging system using correlation-based reception for image synthesis of radio light sources by Petrosyan, Manvel Mher, Ryzhov, Anton Igorevich

“…To achieve this goal, a method for constructing an image is proposed and its implementation is tested using computer modeling of an imaging system. Results. It is shown how, using correlation signal processing methods, it is possible to construct 2D images of radio light sources using the example of computer modeling. …”
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