Energy, Exergy Analysis, and Optimizations of Collector Cover Thickness of a Solar Still in El Oued Climate, Algeria by Abderrahmane Khechekhouche, A. Muthu Manokar, Ravishankar Sathyamurthy, Fadl A. Essa, Milad Sadeghzadeh, Alibek Issakhov

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Algorithm-informed treatment from EEG patterns improves outcomes for patients with major depressive disorder by Ramon Solhkhah, Justin Feintuch, Mabel Vasquez, Eamon S. Thomasson, Vijay Halari, Kathleen Palmer, Morgan R. Peltier

“…Using patient EEG patterns with computer models to select medications is a potential solution, however, it is not widely performed. …”
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Research on Network Resource Collection and Distribution Strategies in Big Data-Driven Multimedia Teaching by Jianping Han

“…Aiming at the performance defects of the open source computing framework Hadoop, this paper intends to establish a new computing model. This model uses distributed data sets to replace the previous data structures and solve some problems in the process of data integration, thereby significantly improving the computation efficiency and reducing resource usage. …”
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A two-patch prey-predator model with predator dispersal driven by the predation strength by Yun Kang, Sourav Kumar Sasmal, Komi Messan

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The Mid-Twentieth Century Baby Boom and the Role of Social Influence. An Agent-Based Modelling Approach by Eli Nomes, André Grow, Jan Van Bavel

“…To explore the role of social influence with analytical rigor, we make use of agent-based computational modelling. We explicate the underlying behavioural assumptions in a formal model and assess their implications by submitting this model to computational simulation experiments. …”
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Insilico targeting of virus entry facilitator NRP1 to block SARS-CoV2 entry. by Nousheen Bibi, Maleeha Shah, Shahzad Khan, Muhammad Shahzad Chohan, Mohammad Amjad Kamal

“…MM/GBSA calculations indicated that both AZD3839 and LY2090314 exhibited strong and stable binding to the b1 domain of NRP1. Computational modeling of the interaction between the b1 domain of NRP1 and the receptor-binding domain of the spike protein suggested that AZD3839 and LY2090314 could effectively hinder the NRP1-spike interaction. …”
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The Mid-Twentieth Century Baby Boom and the Role of Social Influence. An Agent-Based Modelling Approach by Eli Nomes, André Grow, Jan Van Bavel

“…To explore the role of social influence with analytical rigor, we make use of agent-based computational modelling. We explicate the underlying behavioural assumptions in a formal model and assess their implications by submitting this model to computational simulation experiments. …”
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Entropy framework of the bioconvective Williamson nanofluid flow over a Riga plate with radiation, triple stratification and swimming microorganisms by K. Loganathan, N. Thamaraikannan, S. Eswaramoorthi, Reema Jain

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The Mid-Twentieth Century Baby Boom and the Role of Social Influence. An Agent-Based Modelling Approach by Eli Nomes, André Grow, Jan Van Bavel

“…To explore the role of social influence with analytical rigor, we make use of agent-based computational modelling. We explicate the underlying behavioural assumptions in a formal model and assess their implications by submitting this model to computational simulation experiments. …”
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Instance maps as an organising concept for complex experimental workflows as demonstrated for (nano)material safety research by Benjamin Punz, Maja Brajnik, Joh Dokler, Jaleesia D. Amos, Litty Johnson, Katie Reilly, Anastasios G. Papadiamantis, Amaia Green Etxabe, Lee Walker, Diego S. T. Martinez, Steffi Friedrichs, Klaus M. Weltring, Nazende Günday-Türeli, Claus Svendsen, Christine Ogilvie Hendren, Mark R. Wiesner, Martin Himly, Iseult Lynch, Thomas E. Exner

“…Instance maps are most effective when applied at the study design stage to associate the workflow with the nanomaterials, environmental conditions, method descriptions, protocols, biological and computational models to be used, and the data flows arising from study execution. …”
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Harnessing the Influence of Pressure and Nutrients on Biological CO₂ Methanation Using Response Surface Methodology and Artificial Neural Network—Genetic Algorithm Appro... by Alexandros Chatzis, Konstantinos N. Kontogiannopoulos, Nikolaos Dimitrakakis, Anastasios Zouboulis, Panagiotis G. Kougias

“…The results highlight the synergistic effects of pressure and trace metals in enhancing gas–liquid mass transfer and enzymatic pathways, demonstrating the potential of computational modeling and experimental validation to optimize biological methanation systems, contributing to sustainable methane production.…”
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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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pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning by Shahid, Maqsood Hayat, Wajdi Alghamdi, Shahid Akbar, Ali Raza, Rabiah Abdul Kadir, Mahidur R. Sarker

“…Furthermore, keeping the significant outcomes of the existing computational models, we propose a highly reliable and effective model namely, pACP-HybDeep for the accurate prediction of anticancer peptides. …”
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The Mid-Twentieth Century Baby Boom and the Role of Social Influence. An Agent-Based Modelling Approach by Eli Nomes, André Grow, Jan Van Bavel

“…To explore the role of social influence with analytical rigor, we make use of agent-based computational modelling. We explicate the underlying behavioural assumptions in a formal model and assess their implications by submitting this model to computational simulation experiments. …”
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Clinical Impact of Preprocedural CT-Based 3D Computational Simulation of Left Atrial Appendage Occlusion with Amulet by Ian Buysschaert, Dries Viaene

“…The aim of this study was to prospectively evaluate the clinical impact of 3D computational modelling software in the decision-making of left atrial appendage occlusion (LAAO) with Amplatzer Amulet. …”
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Long-term planning optimisation of sustainable energy systems: A systematic review and meta-analysis of trends, drivers, barriers, and prospects by Soheil Mohseni, Alan C. Brent

“…In this intricate landscape, the interdependence of optimisation variables that underlie sustainable energy system planning and optimisation processes underscores the critical role of advanced computational models, notably optimisation algorithms and forecasting techniques, as well as innovative business models tailored to renewable energy in the context of diverse distributed energy options. …”
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Wheat leaf epidermal pattern as a model for studying the influence of stress conditions on morphogenesis by U. S. Zubairova, A. V. Doroshkov

“…Subsequently, these data can be used for verification of computer models of leaf morphogenesis. Further study of the mechanisms of the effect of cold stress on morphogenesis will add to the search for additional opportunities to increase wheat yields in areas of risky agriculture.…”
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Segmented algorithm for three-dimensional reconstruction in linear scan geometry by Т. Г. Віхтинська, К. Є. Лапітан, К. Е. Нємченко

“…Materials and Methods: The work utilizes methods of integral transforms and computer modeling to solve inverse problems arising in computer tomography. …”
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A software module to assess the metabolic potential of mutant strains of the bacterium <i>Corynebacterium glutamicum</i> by F. V. Kazantsev, M. F. Trofimova, T. M. Khlebodarova, Yu. G. Matushkin, S. A. Lashin

“…The creation of highly productive strains whose metabolism is aimed to the synthesis of a specific desired product is impossible without complex directed modifications of the genome using mathematical and computer modeling methods. One of the bacterial species actively used in biotechnological production is Co­rynebacterium glutamicum. …”
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Causal models and prediction in cell line perturbation experiments by James P. Long, Yumeng Yang, Shohei Shimizu, Thong Pham, Kim-Anh Do

“…This has led to the development of computational models that can predict cellular responses to perturbations in silico. …”
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