Rapid Decarbonization Roadmap for India Based on Photovoltaic Systems by Om Shankar Dev, Ilija Batas Bjelic, Rhythm Singh

“…Using Energy PLAN (advanced energy system analysis computer model), the authors created various scenarios involving the integration of the above-mentioned renewable energy based capacities into India’s power system. …”
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A simplified kinetic model for the tropospheric ozone cycle by J. K. Conceição, T. S. F. Alves, E. M. D. Moya, S. A. Pozza, D. S. Rodrigues

“… To better understand the dynamics of air pollutants, several mathematical or computational models have been developed and employed. Among the pollutants of interest are those related to the cycle of formation of tropospheric ozone (O3), which involve nitrogen oxides NOx. …”
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Theoretical Modeling Techniques and Their Impact on Tumor Immunology by Anna Lena Woelke, Manuela S. Murgueitio, Robert Preissner

“…In this paper, we aim to explain the main mathematical and computational modeling techniques used in tumor immunology to experimental researchers and clinicians. …”
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Resource Optimization Technology Using Genetic Algorithm in UAV-Assisted Edge Computing Environment by Huijuan Sun, Hongqi Xi

“…Then, a communication model and a computation model are constructed to minimize the total system energy consumption by jointly optimizing the UAV offloading ratio, user scheduling variables, and UAV trajectory. …”
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A dataset of blood slide images for AI-based diagnosis of malariaDataverse by Rose Nakasi, Joyce Nakatumba Nabende, Jeremy Francis Tusubira, Aloyzius Lubowa Bamundaga, Alfred Andama

“…The labelled image data can be used to build computational models implemented with convolution neural networks. …”
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Readiness for Perception and Action: Towards a More Mechanistic Understanding of Phasic Alertness by Christian H. Poth

“…As a result, the discussion provides us with a research program yielding the theoretical and empirical basis for mechanistic and computational models of phasic alertness and its neurophysiological underpinnings.…”
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Advancements in Acoustic Cavitation Modelling: Progress, Challenges, and Future Directions in Sonochemical Reactor Design by T.Joyce Tiong, Jin Kiat Chu, Khang Wei Tan

“…The review concludes with an analysis of recent developments, emerging trends, and future directions in computational modelling for ultrasonic applications. By presenting a structured overview of both the theoretical and practical aspects of ultrasonic wave propagation, this work aims to provide a foundation for future research and design improvements in sonochemical and acoustic systems.…”
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Should I Stop Thinking About It: A Computational Exploration of Reappraisal Based Emotion Regulation by Mei Si

“…In this paper, we investigate computationally modeling people’s coping behaviors and in particular in relation to depression, in decision-theoretic agents. …”
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A Study on Wind Pressure Characteristics of a Large-Span Membrane Structure under the Fluctuating Wind in a Vertical Direction Based on a Large Eddy Simulation by Fangjin Sun, Haoxuan Tang, Mingjin Lu, Daming Zhang, Chen Lu

“…First, the membrane structure canopy is measured, and the model is established for numerical simulation. The computational models and methods are verified by comparing the obtained wind pressure distributions on the roof with the measured results and numerical simulation results under other methods. …”
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Cell-Oriented Modeling of Angiogenesis by Diego Guidolin, Piera Rebuffat, Giovanna Albertin

“…This type of mathematical models work at a “mesoscopic scale,” assuming the cell as the natural level of abstraction for computational modeling of development. They treat cells phenomenologically, considering their essential behaviors to study how tissue structure and organization emerge from the collective dynamics of multiple cells. …”
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Spike reliability is cell type specific and shapes excitation and inhibition in the cortex by Simone Russo, Garrett B. Stanley, Farzaneh Najafi

“…Our findings demonstrate that parvalbumin+ (PV) interneurons, a subclass of inhibitory neurons, show high reliability compared to other neuronal subclasses, particularly excitatory neurons. Through computational modeling, we predict that the high reliability of PV interneurons allows for strong and precise inhibition in downstream neurons, while the lower reliability of excitatory neurons allows for integrating multiple synaptic inputs leading to a spiking rate code. …”
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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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Mechanisms Underlying Improvement in Obstructive Sleep Apnea Syndrome by Uvulopalatopharyngoplasty by Takahisa Yamamoto, Naoko Fujii, Yoichi Nishimura, Noboru Iwata, Seiichi Nakata

“…Anatomically accurate upper airway computational models were reconstructed from computed tomographic imaging data. …”
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A Comprehensive Review of Facial Beauty Prediction Using Multi-task Learning and Facial Attributes by Ali H. Ibrahem, Adnan M. Abdulazeez

“…Despite the centrality of beauty in human perception, its subjective nature—shaped by individual, social, and cultural influences—complicates its computational modeling. This review addresses the pressing need to develop robust and fair predictive models for facial beauty assessments by leveraging deep learning techniques. …”
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Tradeoffs in automated financial regulation of decentralized finance due to limits on mutable turing machines by Ben Charoenwong, Robert M. Kirby, Jonathan Reiter

“…By mapping regulatory requirements onto computational models, we characterize which types of automated compliance are achievable and which are provably impossible. …”
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Binary mixture convection in a horizontal channel under the Soret effect action by Stepanova Irina

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The use of human tissue surrogates in anatomical modeling for gunshot wounds simulations: an overview about “how to do” experimental terminal ballistics by Lucas Meciano Pereira dos Santos, Marcelo Rodrigues da Cunha, Carlos Henrique Bertoni Reis, Daniela Vieira Buchaim, Daniela Vieira Buchaim, Ana Paula Bernardes da Rosa, Leandro Moreira Tempest, José Augusto Parola da Cruz, Rogério Leone Buchaim, Rogério Leone Buchaim, João Paulo Mardegan Issa, João Paulo Mardegan Issa

“…The use of ballistic gelatin as a human soft tissue surrogate stands out, although other types of materials can be used, including polyurethane and polydimethylsiloxane in the simulation of bones and skin respectively, not to mention some computational models that completely replace the physical use of surrogate models for gunshot wound simulation. …”
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Modélisation de l’érosion hydrique des sols sur un bassin versant du sud-ouest de Madagascar, le Fiherenana by Evelyne Payet, Pascal Dumas, Gwenaëlle Pennober

“…In considering the problem of erosion process on the Fiherenana drainage basin, an approach based on computer modeling is proposed in this article, using the USLE model (Universal Soil Loss Equation), a model derived from the Universal Soil Loss Equation – USLE. …”
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Modelling and Neuro-Adaptive Robust Control Algorithms for Solid Fuel Rockets by Christian Danner Ramos de Carvalho, João Viana da Fonseca Neto

“…The method involves mathematical and computational modelling, together with the design of adaptive controllers for stability and performance analysis. …”
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Predicting deep-seated landslide displacement on Taiwan's Lushan through the integration of convolutional neural networks and the Age of Exploration-Inspired Optimizer by J.-S. Chou, H.-M. Nguyen, H.-P. Phan, K.-L. Wang

“…This research contributes to developing predictive early warning systems for deep-seated landslide displacement by employing advanced computational models for environmental risk management. The novel framework evaluates machine learning, time series deep learning, and convolutional neural networks (CNNs), identifying the most effective models to be enhanced by the Age of Exploration-Inspired Optimizer (AEIO) algorithm. …”
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