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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Protein-ligand binding affinity prediction using multi-instance learning with docking structures by Hyojin Kim, Heesung Shim, Aditya Ranganath, Stewart He, Garrett Stevenson, Jonathan E. Allen

“…These methods complement physics-based computational modeling such as molecular docking for virtual high-throughput screening. …”
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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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The identification of a SARs-CoV2 S2 protein derived peptide with super-antigen-like stimulatory properties on T-cells by Thai Hien Tu, Fatima Ezzahra Bennani, Nasser Masroori, Chen Liu, Atena Nemati, Nicholas Rozza, Amichai Meir Grunbaum, Richard Kremer, Catalin Milhalcioiu, Denis-Claude Roy, Christopher E. Rudd

“…In this study, we identify a region in the SARS-CoV-2 S2 spike protein with sequence homology to bacterial super-antigens (termed P3). Computational modeling predicts P3 binding to sites on MHC class I/II and the TCR that partially overlap with sites for the binding of staphylococcal enterotoxins B and H. …”
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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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Neural mechanisms of fairness decision-making: An EEG comparative study on opportunity equity and outcome equity by Qi Li, Ya Zheng, Jing Xiao, Kesong Hu, Zhong Yang

“…Moreover, we used a computational modeling approach to estimate the utility for each trial, and found that larger P2 amplitudes were associated with lower utility in opportunity distribution, while larger P300 amplitudes were associated with higher utility in outcome distribution. …”
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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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E-waste recycling in an optimized way for copper recovery by leaching and a case study on E-waste generation and management in Dhaka city by Kaniz Fatema, Md Niamul Hassan, Sanjida Hasan, Hridoy Roy

“…A combination of experimental procedures and computational modeling was employed to optimize copper extraction from printed circuit boards (PCBs). …”
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Melting enhancement in vertical triplex-tube latent heat thermal energy storage system using BeO nanoparticles and internal fins by Zamira Sattinova, Bakytzhan Assilbekov, Animesh Pal, Tassybek Bekenov, Bidyut Baran Saha

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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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