Sig2GRN : a software tool linking signaling pathway with gene regulatory network for dynamic simulation by Zhang, Fan, Liu, Runsheng, Zheng, Jie

“…Background: Linking computational models of signaling pathways to predicted cellular responses such as gene expression regulation is a major challenge in computational systems biology. …”
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Semantic object processing is modulated by prior scene context by Krugliak, A, Draschkow, D, Võ, ML-H, Clarke, A

“…Yet, the time course and mechanisms of how contextual information supports access to semantic object information is unclear. We used computational modelling and EEG to test how context influences semantic object processing. …”

Blockchaining for rewarding consumers for energy saving applications by Jain, Shlok

“…Data is then compared to the specified energy consumption, which has been computed based on the national average given by the Government of Singapore. …”
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An efficient analog Hamming distance comparator realized with a unipolar memristor array: a showcase of physical computing by Ge, Ning, Yoon, Jung Ho, Hu, Miao, Merced-Grafals, E. J., Davila, Noraica, Strachan, John Paul, Li, Zhiyong, Holder, Helen, Xia, Qiangfei, Williams, R. Stanley, Zhou, Xing, Yang, J. Joshua

“…The comparator with a small footprint can directly process analog signals and store computation results without power, representing a promising application for analog computing based on memristor crossbar arrays.…”
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Exploring the regulation of myofilament function in the heart using experimental and computational approaches by Folkmanaite, M

“…The goal of this thesis is to address this knowledge gap.</p> <p>Computational modelling and experimental techniques were used to investigate the regulation of myofilament function. …”

Rapid Simulation of Electro-Chemo-Mechanical Deformation of Li-ion Batteries Based On Porous Electrode Theory by Ipers, Gerrit, Jiao, Junning, Pathak, Shakul, Fang, Ruqing, Berliner, Marc D, Li, Wei, Li, Weihan, Braatz, Richard D, Bazant, Martin Z, Zhu, Juner

“…Here, we implemented the coupled model into the open-source software PETLION for millisecond-scale simulation. The computational model is parameterized using values gathered from literature, tested under varying conditions, briefly compared to real-world observations, and qualitatively analyzed to find parameter-output relations.…”
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Interfacial fracture behavior of double-ceramic-layer thermal barrier coating system with segmented structure by Li, Biao, Fan, Xueling, Wang, Tiejun, Zhou, Kun

“…The contact between interface crack faces was taken into account in the computational model. The effects of segmentation pattern, geometrical and material properties of the top coats on the delamination behavior were discussed. …”
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A hybrid of ant colony optimization, genetic algorithm and flux balance analysis for optimization of succinic acid production in Escherichia coli by Tan, Jun Bin, Choon, Yee Wen, Moorthy, Kohbalan, Hasyiya Karimah, Adli, Muhammad Akmal, Remli, Mohd Arfian, Ismail, Zuwairie, Ibrahim, Mohd Saberi, Mohamad

“…Researchers build computational models of E. coli to analyze and modify their metabolic network. …”
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MAAD: A Model and Dataset for "Attended Awareness" in Driving by Gopinath, Deepak, Rosman, Guy, Stent, Simon, Terahata, Katsuya, Fletcher, Luke, Argall, Brenna, Leonard, John

“…We propose a computational model to estimate a person's attended awareness of their environment. …”
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Modelling the rheology of living cell cytoplasm: poroviscoelasticity and fluid-to-solid transition by Thekkethil, Namshad, Köry, Jakub, Guo, Ming, Stewart, Peter S., Hill, Nicholas A., Luo, Xiaoyu

“…To gain insights into this complex rheological behaviour, we construct a computational model for the cell cytoplasm as a poroviscoelastic material formulated on the principles of nonlinear continuum mechanics, where we model the cytoplasm as a porous viscoelastic scaffold with an embedded viscous fluid flowing between the pores to model the cytosol. …”
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Identification of potential critical virulent sites based on hemagglutinin of influenza A virus in past pandemic strains by Yin, Rui, Fransiskus, Xaverius Ivan, Zheng, Jie, Zhou, Xinrui, Chow, Vincent T. K., Kwoh, Chee Keong

“…With increasingly huge biological data, computational modeling is a good technique for analyzing data, providing novel insight into significant patterns and rules. …”
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PCA based feature extraction for cell image retrieval by Ananthagunan Muthukumaran

“…In this Dissertation work a Software programme has been developed which implement Principal Component Analysis for Cell Image retrieval:Principal component analysis, based on information theory concepts, seek a computational model that best describes a cell image, by extracting the most relevant information contained In that image. …”
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A deep learning approach to image quality assessment by Feng, Yeli

“…We explore the computational modeling of image quality assessment (IQA), investigate the vulnerability of DCNNs, and utilize IQA principle to mitigate it. …”
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Visual odometry using RGB-D camera on ceiling vision by Wang, Han, Mou, Wei, Suratno, Hendra, Seet Gim Lee, Gerald, Li, Maohai, Lau, Michael Wai Shing, Wang, Danwei

“…In this paper, we present a novel algorithm for odometry computation based on ceiling vision. The main contribution in this algorithm is the introduction of principal direction detection that can greatly reduce error accumulation problem present in most visual odometry estimation approaches. …”
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Modeling osmotic membrane processes without pressure and porosity simplifications by Chong, Y. K., Liang, Y. Y.

“…This work introduces a comprehensive semi-empirical and computational model that eludes these typical simplifications for evaluating forward osmosis (FO), pressure assisted osmosis (PAO), pressure retarded osmosis (PRO) and osmotically assisted reverse osmosis (OARO). …”
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The rise of deep learning in cyber security: Bibliometric analysis of deep learning and malware by Nur Khairani, Kamarudin, Ahmad Firdaus, Zainal Abidin, Mohd Zamri, Osman, Alanda, Alde, Erianda, Aldo, Shahreen, Kasim, Mohd Faizal, Ab Razak

“…Deep learning is a machine learning technology that allows computational models to learn via experience, mimicking human cognitive processes. …”
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HIV decision support : from molecule to man by Sloot, Peter M. A., Coveney, P. V., Muller, V., Boucher, Charles A. B., Ertaylan, Gokhan, Bubak, Marian

“…ViroLab contains computational models that cover various spatial and temporal scales from atomic-level interactions in nanoseconds up to sociological interactions on the epidemiological level, spanning years of disease progression. …”
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Information gathering: dissociable effects of autistic and alexithymic traits in youths aged 6–25 years by Lee, KS, Long, EL, Catmur, C, Hauser, TU, Bird, G

“…Dimensional autistic traits were associated with more information gathering regardless of costs and information type. Computational modeling suggested this may be because of the delayed emergence of subjective costs of information gathering in high autistic trait individuals, resulting in later guesses. …”

A review of high-speed rotating HP turbine heat transfer and cooling studies over the last decade in the Oxford Turbine Research Facility by Falsetti, C, Beard, PF, Cardwell, DN, Chana, KS

“…Over the last years, advanced experiments under engine-representative conditions have been performed in the Oxford Turbine Research Facility (OTRF) to obtain high-quality aerothermal data that are essential for developing novel cooling designs and for validating computational models. Thanks to its unique experimental capabilities, the OTRF plays a crucial role in the advancement of HP turbines, which are life limiting components of modern gas turbines due to the harsh high temperature environment. …”

Audio based sensing of wheeze in respiratory signals by Seah, Meng Shi.

“…These values are computed based on the contingency table or confusion matrix to show a better evaluation on the performances which are able to classify the classes accordingly. …”
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