Molecular recognition in protein-DNA assemblies by Davey, Curt Alexander

“…These small proto-oncoproteins are involved in an astonishing variety of nuclear processes, capable of regulating the expression of numerous genes and facilitating tumor development, metastasis, and viral progression. …”
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Learning-based robot navigation in dynamic environments: from indoor scenes to human crowd scenes by Jiang, Haoge

“…The increasing presence of autonomous robots in numerous settings necessitates the development of advanced navigation techniques that can handle complex environments. …”
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Three-dimensional scour at submarine pipelines by Wu, Yushi.

“…The significance of pipeline-scour has been well recognized because this phenomenon and the resultant vortex induced vibration (VIV) are closely related to the damage or even failure of pipelines. Although numerous studies have been conducted during the last few decades, knowledge on pipeline-scour is still quite limited, especially considering that most of the published research was performed with a 2-dimensional model while pipeline-scour is actually 3-dimensional in field conditions. …”
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Quantitative imaging using ultrasonic tomography based on full waveform inversion by Rao, Jing

“…The ability to reconstruct physical properties from wave measurements is very valuable in many applications as it could allow diagnostic methods with high sensitivity. For example, numerous defects are reflected in acoustic velocity variations, and thus velocity reconstruction from wave measurements can be used for defect detection. …”
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Exploring employee working productivity: initial insights from machine learning predictive analytics and visualization by Razali, Mohd Norhisham, Ibrahim, Norizuandi, Hanapi, Rozita, Mohd Zamri, Norfarahzila, Abdul Manaf, Syaifulnizam

“…Subjective assessments, numerous assessment factors, and difficulties in interpreting predictive mechanisms add to the complexity of the task. …”
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kboolnet: a toolkit for the verification, validation, and visualization of reaction-contingency (rxncon) models by Carretero Chavez, Willow, Krantz, Marcus, Klipp, Edda, Kufareva, Irina

“…In particular, ScoreNet.R compares model predictions to a cloud-stored MIDAS-format experimental database to provide a numerical score for tracking model accuracy. Finally, the visualization scripts allow for graphical representations of model topology and behavior. …”
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Computational rheometry of yielding and viscoplastic flow in vane-and-cup rheometer fixtures by Chaparian, Emad, Owens, Crystal E., McKinley, Gareth H.

“…A planar two-dimensional computational analysis is presented to qualify traditional and fractal vane-in-cup geometries for accurate rheometry of simple viscoplastic fluids with and without slip. Numerical simulations based on an adaptive augmented Lagrangian scheme are used to study the two-dimensional flow field of yield-stress fluids within and around vane tools with N=3 to 24 arms for a wide range of Bingham numbers, B (i.e. the ratio of the yield stress over the characteristic viscous stress). …”
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Individual Welfare Guarantees in the Autobidding World with Machine-learned Advice by Deng, Yuan, Golrezaei, Negin, Jaillet, Patrick, Liang, Jason Cheuk Nam, Mirrokni, Vahab

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Modelling entrainment volume due to surface-parallel vortex interactions with an air–water interface by Hendrickson, Kelli, Yu, Xiangming, Yue, Dick K.P.

“…Based on systematic (three10 dimensional) direct numerical simulations (DNS) of the canonical problem of a rectilinear vortex pair impinging on and entraining air at the free surface,we develop a phenomenological model to predict the resulting entrainment volume in terms of four key parameters. …”
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Predictive and Prescriptive Trees for Optimization and Control Problems by Kim, Cheol Woo

“…In Chapter 3, we study fluid restless multi-armed bandits (FRMABs), deriving fundamental properties and designing efficient numerical algorithms. Using these results, we learn state feedback policies with OCT-H and introduce a novel feature augmentation technique to handle nonlinearities. …”
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GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control by Zhang, Songyuan, So, Oswin, Garg, Kunal, Fan, Chuchu

“…Additionally, we perform extensive numerical experiments, where the number and density of agents, as well as the number of obstacles, increase. …”
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Effects of hysteresis on steady-state infiltration in unsaturated slopes by Tami, Denny, Rahardjo, Harianto, Leong, Eng Choon

“…The matric suctions within the slope during a steady-state infiltration were affected by the initial water content of the soil prior to the infiltration process. Numerical analyses, employing both drying and wetting hydraulic properties of the soils, were performed to study the difference in matric suctions as observed in the experiments. …”
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Multi-level robot management by Ling, Ngee Hung

“…An evaluation then covers the overall performance of the final product in the form of a numerical analysis on the performance and its capabilities. …”
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Mixing characteristics of inclined dense jets with different nozzle geometries by Jiang, Mingtao, Law, Adrian Wing-Keung, Song, Jie

“…In addition, we also performed numerical simulations using the Large Eddy Simulations (LES) approach with the Dynamic Smagorinsky sub-grid model for the diamond, duckbill and star shape nozzle geometries in the experiments. …”
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Heat transfer of 3D-printed porous structure used in cold plate by Tew, Hong Boon

“…The reliability of the setup was validated by comparing the experimental results of the bare tube cold plate against numerical simulation performed using “COMSOL Multiphysics” software. …”
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Conformational ensemble modeling of multi-domain proteins with experimental data by Zhu, Guanhua

“…A conformational ensemble can be determined by selecting a weighted combination of representative structures from a given structure pool, yielding the best fit to experimental measurements. However, a raw numerical data fitting causes the over-interpretation of the experimental data, which would recover the structure ensemble of wrong conformations. …”
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Experimental and computational thermal analysis of vortex flame in meso-scale combustor by Khaleghi, Mostafa

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Behaviour of industrialised building system model in fluid-solid interaction by Farahmandpour, Omolbanin

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Two-phase immersion cooling for power dense printed circuit board converters by Ristic-Smith, A

“…A theoretical model and numerical solution method for boiling on pin fins is developed and used to design heat spreaders to increase the power dissipation per unit semiconductor area with minimal penalty on the converter volume. …”

Unsupervised logic mining with a binary clonal selection algorithm in multi-unit discrete Hopfield neural networks via weighted systematic 2 satisfiability by Romli, Nurul Atiqah, Zulkepli, Nur Fariha Syaqina, Kasihmuddin, Mohd Shareduwan Mohd, Zamri, Nur Ezlin, Rusdi, Nur 'Afifah, Manoharam, Gaeithry, Mansor, Mohd. Asyraf, Jamaludin, Siti Zulaikha Mohd, Malik, Amierah Abdul

“…The average ranks for each metric were Accuracy (7.95), Sensitivity (7.55), Specificity (7.93), Negative Predictive Value (7.50), and Mathews Correlation Coefficient (7.85). Numerical results and in-depth analysis demonstrated that the proposed logic mining model consistently produced optimal induced logic that best represented the real-life dataset for all the performance metrics used in this study.…”
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