Biglycan Interacts with Type I Insulin-like Receptor (IGF-IR) Signaling Pathway to Regulate Osteosarcoma Cell Growth and Response to Chemotherapy by Eirini-Maria Giatagana, Aikaterini Berdiaki, Margrethe Gaardløs, Sergey A. Samsonov, George N. Tzanakakis, Dragana Nikitovic

“…Here, we show that biglycan activates the IGF-IR signaling pathway to promote MG63 biglycan-secreting OS cell growth by forming a complex with the receptor. Computational models of IGF-IR and biglycan docking suggest that biglycan binds IGF-IR dimer via its concave surface. …”
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Metabolomics and modelling approaches for systems metabolic engineering by Jasmeet Kaur Khanijou, Hanna Kulyk, Cécilia Bergès, Leng Wei Khoo, Pnelope Ng, Hock Chuan Yeo, Mohamed Helmy, Floriant Bellvert, Wee Chew, Kumar Selvarajoo

“…The resultant metabolomics data can then be used with computational modelling approaches, such as kinetic and constraint-based modelling, to better understand underlying mechanisms and bottlenecks in the synthesis of desired compounds, thereby accelerating research through systems metabolic engineering. …”
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Use of Hybrid Photovoltaic Systems with a Storage Battery for the Remote Objects of Railway Transport Infrastructure by Olexandr Shavolkin, Iryna Shvedchykova, Juraj Gerlici, Kateryna Kravchenko, František Pribilinec

“…They are added via the processing of archival data of power generation of a photovoltaic battery and computer modeling results. A technique of system parameter calculation to increase the power according to the given load schedule of the object at constant and maximum possible degree of power increasing is developed. …”
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Fuzzy Regulator for Two-Phase Gas–Liquid Pipe Flows Control by Paweł Fiderek, Jacek Kucharski, Radosław Wajman

“…Therefore, it is not required to determine any of the complicated computer models of the flow rig, which is unfortunately necessary when using the classic regulators. …”
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Modeling orientation perception adaptation to altered gravity environments with memory of past sensorimotor states by Aaron R. Allred, Victoria G. Kravets, Nisar Ahmed, Torin K. Clark

“…Here, we present a theoretical framework and resulting computational model of vestibular adaptation to gravity transitions which captures the role of implicit memory. …”
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Experimental and numerical investigation of a solar-thermal humidification-dehumidification desalination plant for a coastal greenhouse by Mohsen Lotfi, Matthias Mersch, Christos N. Markides

“…In the experimental work, where the hot water temperature at the humidifier inlet was limited to 70 °C to prevent fouling, a maximum gain output ratio (GOR) of 2.3 was achieved. The computational model was validated and found to be in good agreement with experimental data, with GOR predictions to within a maximum deviation of 25 %. …”
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User Experience Adaptation of Complex Game Interface for User Behaviour Modeling Using RNN by Fatima Isiaka, Zainab Adamu, Muhammad A. Adamu

“…A complex game interface as stimulus is generally considered as having a feeling of immersion that allows for visual tracking of user behavioural patterns and use it to predict the next strategy of the user using robust computational models. A number of users have limited sensory perception in a gameplay and hence rely on complex game stimulus and an adaptive model is paramount when considering behavioural expectations that place the user in a digital environment with more expressive perceptions. …”
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Potential neuropsychological mechanism involved in the transition from suicide ideation to action – a resting-state fMRI study implicating the insula by Shulin Fang, Samuel F. Law, Xinlei Ji, Qinyu Liu, Panwen Zhang, Runqing Zhong, Huanhuan Li, Xiaosheng Wang, Shuqiao Yao, Xiang Wang

“…To explore this mechanism, we combined resting-state functional connectivity (rsFC) and computational modeling to investigate differences between those who attempted suicide(SA) and those who hold only high levels of suicidal ideation(HSI). …”
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A multiepitope vaccine candidate against infectious bursal disease virus using immunoinformatics-based reverse vaccinology approach by Irfan Gul, Irfan Gul, Amreena Hassan, Amreena Hassan, Jan Mohd Muneeb, Towseef Akram, Ehtishamul Haq, Riaz Ahmad Shah, Nazir Ahmad Ganai, Syed Mudasir Ahmad, Naveed Anjum Chikan, Nadeem Shabir

“…To overcome the drawbacks, the current study has, for the first time, attempted to construct a computational model of a multiepitope based vaccine candidate against infectious bursal disease virus, which has the potential to overcome the safety and protection issues found in the existing live-attenuated vaccines. …”
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Effective multi-class lungdisease classification using the hybridfeature engineering mechanism by Binju Saju, Neethu Tressa, Rajesh Kumar Dhanaraj, Sumegh Tharewal, Jincy Chundamannil Mathew, Danilo Pelusi

“…The utilization of computational models in the field of medical image classification is an ongoing and unstoppable trend, driven by the pursuit of aiding medical professionals in achieving swift and precise diagnoses. …”
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DFT Calculation and MD Simulation Studies on Gemini Surfactant Corrosion Inhibitor in Acetic Acid Media by Mohd Sofi Numin, Khairulazhar Jumbri, Kok Eng Kee, Almila Hassan, Noorazlenawati Borhan, Juan Matmin

“…Gemini surfactant corrosion inhibitor (CI) is one type of CI mainly used in mitigating corrosion in the complex system of oil/gas production industries. Computer modeling methods such as density functional theory (DFT) calculation and molecular dynamic (MD) simulation are required to develop new CI molecules focusing on their application condition as a prediction or screening process before the physical empirical assessment. …”
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Medical image diagnosis based on adaptive Hybrid Quantum CNN by Naim Ajlouni, Adem Özyavaş, Mustafa Takaoğlu, Faruk Takaoğlu, Firas Ajlouni

“…This means that the computing model utilizes a quantum circuits approach to construct QML algorithms, which are then used to transform the quantum state to extract image hidden features. …”
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Stability of finite difference numerical simulations of acoustic logging-while-drilling with different perfectly matched layer schemes by Tao, Guo, Wang, Hua, Shang, Xuefeng, Fang, Xinding, Burns, Daniel R

“…Fine grids and large computational models are required to model the thin fluid region between the tool and the formation. …”
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Computational analysis reveals the coupling between bistability and the sign of a feedback loop in a TGF-β1 activation model by Li, Huipeng, Venkatraman, Lakshmi, Narmada, Balakrishnan C, Tucker-Kellogg, Lisa, Narmada, Balakrishnan Chakrapani, White, Jacob K, Yu, Hanry

“…Keywords: Bistability; Positive feedback; Computational modelling; ODEs; Dynamical systems; Biochemical network; TGF-β1; Bifurcation analysis…”
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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

“…Abstract Background Computational models of cell signaling networks are extremely useful tools for the exploration of underlying system behavior and prediction of response to various perturbations. …”
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Decision tree modeling predicts effects of inhibiting contractility signaling on cell motility by Kharait, Sourabh, Hautaniemi, Sampsa, Wu, Shan, Iwabu, Akihiro, Lauffenburger, Douglas A., Wells, Alan

“…Background: Computational models of cell signaling networks typically are aimed at capturing dynamics of molecular components to derive quantitative insights from prior experimental data, and to make predictions concerning altered dynamics under different conditions. …”
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Learning control of unmanned aerial vehicles using artificial intelligence-based methods by Sarabakha, Andriy

“…On the other hand, neural networks are computing models which progressively improve their performance by learning from training examples. …”
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Effect of Cd on cation redistribution and order-disorder transition in Cu2(Zn,Cd)SnS4 by Hadke, Shreyash, Chen, Wei, Tan, Joel Ming Rui, Guc, Maxim, Izquierdo-Roca, Victor, Rignanese, Gian-Marco, Hautier, Geoffroy, Wong, Lydia Helena

“…Hence, the structural reasons for the beneficial effects of Cd need to be reinterpreted. Here, using computational model based on cluster expansion (fitted on DFT data), Monte-Carlo simulations, and differential scanning calorimetry, it is shown that Cu2CdSnS4 has less structural disorder than Cu2ZnSnS4 even if the thermodynamic point defect formation energy calculated using diluted point-defect models for disorder-inducing CuZn + ZnCu and CuCd + CdCu defects in these two materials is predicted to be similar. …”
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Training binary neural networks by Tham, Marcus Wei Jie

“…It refers to computational models that perform special convolution and pooling operations for the detection of feature maps from sample images. …”
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Designing a spiking neural network system for object recognition by Thong, Jing Yuan

“…An innovative brain-inspired computational model, Spiking Neural Networks have demonstrated high energy efficiency and remarkable processing capabilities of spatiotemporal information. …”
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