165 research outputs found
Combined extension and torsion of hydrogels with chemo-mechanical coupling: Revealing positive poynting effect
No full textIn this paper, combined extension and torsion of hydrogel subject to a chemo-mechanical coupled loading is described in the framework of continuum mechanics, where the free energy density consists of the elastic, mixing and chemical contributions. A simplified, closed-form and exactly analytical solution to the mechanical response is obtained, which accounts for the coupling effect of external loading, chemical potential and microstructural parameters, such as crosslinking degree, Flory-Huggins parameter, etc. In particular, the effect of free swelling and microscopic diffusion on deformation of the hydrogel at equilibrium state is discussed, reaching some fundamental conclusions. Negative axial forces are captured, revealing the typical positive Poynting effect where the cylinder tends to elongate on twisting, and an inhomogeneous deformation, induced by torsion, along the radial direction is demonstrated. Furthermore, the dynamic competition between external loading and solvent environment is revealed and investigated, where the direct connection between internal micro-physical parameters and macroscopic deformation is demonstrated. The theoretical results presented in this paper may provide predictions and guidance for the mechanical analysis and design of hydrogel cylinder subject to extension and torsion in a solvent
Comment on “Theoretical evaluation of art education from the perspective of traditional Chinese philosophy”
No full textCommented article: ZHENG, X. D. Theoretical Evaluation of Art Education from the Perspective of Traditional Chinese Philosophy. Trans/Form/Ação: revista de filosofia da Unesp, v. 47, n. 4, “Eastern thought”, e02400123, 2024. Available at: https://revistas.marilia.unesp.br/index.php/transformacao/article/view/1502
L008 CROP-seq Dataset
No full textPlease cite the following work if you find the L008 dataset useful in your research.
https://arxiv.org/abs/2210.00116
@article{wu2022predicting,
title={Predicting cellular responses with variational causal inference and refined relational information},
author={Wu, Yulun and Barton, Robert A and Wang, Zichen and Ioannidis, Vassilis N and De Donno, Carlo and Price, Layne C and Voloch, Luis F and Karypis, George},
journal={International Conference on Learning Representations},
year={2023}
Cellular Response Prediction
No full textPredicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)
https://github.com/yulun-rayn/graphVCI
@article{wu2022predicting,
title={Predicting cellular responses with variational causal inference and refined relational information},
author={Wu, Yulun and Barton, Robert A and Wang, Zichen and Ioannidis, Vassilis N and De Donno, Carlo and Price, Layne C and Voloch, Luis F and Karypis, George},
journal={International Conference on Learning Representations},
year={2023}
L008 CROP-seq Dataset
No full textPlease cite the following work if you find the L008 dataset useful in your research.
https://arxiv.org/abs/2210.00116
@article{wu2022predicting,
title={Predicting cellular responses with variational causal inference and refined relational information},
author={Wu, Yulun and Barton, Robert A and Wang, Zichen and Ioannidis, Vassilis N and De Donno, Carlo and Price, Layne C and Voloch, Luis F and Karypis, George},
journal={International Conference on Learning Representations},
year={2023}
Cellular Response Prediction
No full textPredicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)
https://github.com/yulun-rayn/graphVCI
@article{wu2022predicting,
title={Predicting cellular responses with variational causal inference and refined relational information},
author={Wu, Yulun and Barton, Robert A and Wang, Zichen and Ioannidis, Vassilis N and De Donno, Carlo and Price, Layne C and Voloch, Luis F and Karypis, George},
journal={International Conference on Learning Representations},
year={2023}
L008 CROP-seq Dataset
No full textPlease cite the following work if you find the L008 dataset useful in your research.
https://arxiv.org/abs/2210.00116
@article{wu2022predicting,
title={Predicting cellular responses with variational causal inference and refined relational information},
author={Wu, Yulun and Barton, Robert A and Wang, Zichen and Ioannidis, Vassilis N and De Donno, Carlo and Price, Layne C and Voloch, Luis F and Karypis, George},
journal={International Conference on Learning Representations},
year={2023}
Numerical and Experimental Study of the Wetting Characteristics of Water Droplets on Solid Substrates
No full textIn this study, the author first reviewed the background and the mechanism of a highly efficient cooling method—i.e., the thin film evaporative cooling, in which the heat removal performance is highly dependent on the wetting characteristics of the working fluid. Then, the author studied the wetting behavior of water on different solid substrate both numerically and experimentally. By minimizing the free energy, Surface Evolver was used to explore the profile of the static liquid meniscus and the corresponding contact angle of water droplets on plain solid substrate and pillar substrate with sharp edge. Besides, goniometer experiments were performed to study the contact angle of a sessile water droplet on silicon, copper and aluminum substrates with graphene oxide (GO) and reduced graphene oxide (RGO) nanocoatings of different thicknesses. In addition, the author prepared a detailed list of components to be ordered for performing Micro-PIV experiments. An extensive literature study have been done to support the feasibility of the author’s work
Study on the Assessment of STEM Instructional Design Plan Based on Information Flows
No full textIn recent years, the growing incidence of blended and online learning has highlighted instructional design concerns, especially STEM instructional design. Existing studies have often adopted observations, questionnaires, or interviews to evaluate STEM instructional design plans. However, there is still a lack of quantitative, measurable, and objective assessment methods. To close this research gap, this study proposes an innovative method for assessing STEM instructional design plans based on information flows. In this study, 20 STEM instructional design plans were designed, analysed, and assessed using the proposed information flow-based assessment method. The results indicated that the proposed method is feasible and effective for assessing STEM instructional design plans. STEM instructional design plans could be significantly improved based on the proposed method. The results and implications for instructors and practitioners are discussed in depth
Defect engineering of nanostructured ZnSnO3 for conductometric room temperature CO2 sensors
No full textpeer reviewedSlow response/recovery kinetics and high limit of detection (LOD) are crucial challenges for practical room-temperature carbon dioxide (CO2) gas sensor platforms. Herein, visible light-excited ZnSnO3 three-dimensional nanostructures are utilized for highly sensitive and selective detection of CO2. The sensing performance reveals that fine-controlled oxygen vacancy (OV) and highly-active electron transition of defect-rich nanomaterials are obtained via modulating the hydrogen treatment duration, conducive to the prominently enhanced ppm-level CO2 response with low LOD (3.05 ppm), ultrafast response time (16.814 s) and improved stability (14.658 ± 2.339 @ 400 ppm for 14 days) among all the reported ternary metal oxide semiconductor (TMOS) -based gas sensors. The photophysical enhancement mechanism of analyte is discussed in detail by combining experimental and theoretical investigation through the effect of photoexcitation on both adsorbed CO2 molecules and sensing materials, the role of pre-adsorbed oxygen for regulating targeted gas interaction, the changes of electronic transition in the bandgap, the impact of in-plane OV and bridging OV on CO2 sensing, and the function of OV for modifying the coordination sites and geometry of metal cations at the surface. From a broader perspective, the fabricated sensor provides a remarkably facile and effective technique for rapid and repeatable CO2 monitoring
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