Weiming Zhang¹, Muhammad Wasim Khan¹, Xueqin Zuo¹, Qun Yang¹, Huaibao Tang^1,2, Shaowei Jin^1,2, Guang Li^1,2,3,*

Journal of Renewable Materials, Vol.8, No.4, pp. 431-446, 2020, DOI:10.32604/jrm.2020.09158 - 24 April 2020

Abstract A novel sunflower-like nanocomposite of SrCo₂S₄ nanoflakes and functionalized multiwall carbon nanotubes (f-MWCNTs) entanglement enveloped in nitrogen-reduced graphene oxide (N-RGO) is prepared by a cheap process. The unique entanglement structure of the material exhibits higher specific surface area, better electrical conductivity and other properties. This helps to reduce the transfer resistance in the photoelectric process of the battery and improve the electrochemical activity, thus increasing the photoelectric conversion efficiency of the battery. The new ternary cobalt-based sulfide material can replace platinum as the counter electrode (CE) material loaded on dye-sensitized solar cells (DSSCs). DSSCs with SrCo₂S₄@f-MWCNTs@N-RGO More >

Honghua Dai^{1, *}, Xiaokui Yue¹

CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.1, pp. 1-4, 2020, DOI:10.32604/cmes.2020.09126 - 01 January 2020

Abstract This article has no abstract. More >

Hamidreza Shabgard^a,* , Amir Faghri^b

Frontiers in Heat and Mass Transfer, Vol.12, pp. 1-16, 2019, DOI:10.5098/hmt.12.9

Abstract Fundamentals of exergy analysis in energy systems are reviewed and presented in a cohesive and general manner for the study of energy systems. The exergy analysis is applied to several engineering systems and processes, namely fuel cells, latent heat thermal energy storage, heat exchangers and thermal desalination systems to obtain insight on the best optimization strategies as well as the theoretical limits of performance. The various sources of irreversibility and optimal operating conditions are presented for relevant applications. It is also shown that for some systems the exergy efficiency as a function of a given More >

Shouki A. Ebad^1,∗, Moataz Ahmed^2,†

Computer Systems Science and Engineering, Vol.34, No.5, pp. 283-296, 2019, DOI:10.32604/csse.2019.34.283

Abstract In object-oriented development, packages form the basic modular structural components of large-scale software systems. Packaging processes aim to group classes together to provide well-identified functions/services to the rest of the system. In this context, it is widely believed that packaging quality has an influence on the software stability so that it should be useful predictors for modular structural stability. In this paper, we investigate the effect of packaging configurations on the modular structure stability of object-oriented systems. Using genetic algorithms, we conducted a series of experiments to find the relation between the packaging quality and More >

Kyeonghwan Lim¹, Nak Young Kim¹, Younsik Jeong¹, Seong-je Cho¹, Sangchul Han², Minkyu Park²

Intelligent Automation & Soft Computing, Vol.25, No.1, pp. 143-153, 2019, DOI:10.31209/2018.100000051

Abstract The Android application package (APK) uses the DEX format as an executable file format. Since DEX files are in Java bytecode format, you can easily get Java source code using static reverse engineering tools. This feature makes it easy to steal Android applications. Tools such as ijiami, liapp, alibaba, etc. can be used to protect applications from static reverse engineering attacks. These tools typically save encrypted classes.dex in the APK file, and then decrypt and load dynamically when the application starts. However, these tools do not protect multidex Android applications. A multidex Android application is More >

Ibnu Rusydy^1,3,*, Nafisah Al-Huda^1,2, M. Fahmi⁴, Naufal Effendi⁴

Structural Durability & Health Monitoring, Vol.13, No.4, pp. 379-398, 2019, DOI:10.32604/sdhm.2019.08192

Abstract Rock slope kinematic analysis and rock mass classifications has been conducted at the 17^th km to 26^th km of USAID (United States Agency for International Development) highway in Indonesia. This research aimed to examine the type of rock slope failures and the quality of rock mass as well. The scan-line method was performed in six slopes by using a geological compass to determine rock mass structure on the rock slope, and the condition of joints such as persistence, aperture, roughness, infilling material, weathering and groundwater conditions. Slope kinematic analysis was performed employing a stereographic projection. The… More >

Youqin Huang¹, Jiayong Li¹, Jiyang Fu^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.3, pp. 845-875, 2019, DOI:10.32604/cmes.2019.07653

Abstract In last few years, big data and deep learning technologies have been successfully applied in various fields of civil engineering with the great progress of machine learning techniques. However, until now, there has been no comprehensive review on its applications in civil engineering. To fill this gap, this paper reviews the application and development of artificial intelligence in civil engineering in recent years, including intelligent algorithms, big data and deep learning. Through the work of this paper, the research direction and difficulties of artificial intelligence in civil engineering for the past few years can be More >

Ning Jiang^1,2,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 102-102, 2019, DOI:10.32604/mcb.2019.07486

Abstract Force is not only involved in motion, but also involved in molecular interactions that guide cells to execute important physiological functions. Getting to know Dr. Fung at an early age shaped my college major decision, which lead me into the field of biomedical engineering. Applying a force-based measurement tool to study T cell receptor interaction with ligands in graduate school prepared me to use technology development as a foundation to answer important biological and clinical questions.
By combining engineering principle, quantitative modeling, and a deep understanding of biology and medicine, my current research focuses in… More >

Longwei Liu¹, Praopim Limsakul¹, Shaoying (Kathy) Lu¹, Peter Yingxiao Wang^1,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 82-82, 2019, DOI:10.32604/mcb.2019.07360

Abstract Genetically-encoded biosensors based on Fluorescence Resonance Energy Transfer (FRET biosensors) have been widely used to dynamically track the activity of Protein Tyrosine Kinases (PTKs) in living cells because of their sensitive ratiometric fluorescence readout, high spatiotemporal resolution. However, the limitation in sensitivity, specificity, and dynamic range of these biosensors have hindered their broader applications, and there was a lack of efficient ways to optimize FRET biosensors. Here we established a rapid, systematic and universal approach for FRET biosensor optimization through directed evolution which involves generating genetic diversity and screening for protein variants with desired properties… More >

Yingxiao Wang^1,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 79-79, 2019, DOI:10.32604/mcb.2019.07268

Abstract Genetically-encoded biosensors based on fluorescence proteins (FPs) and fluorescence resonance energy transfer (FRET) have enabled the specific targeting and visualization of signaling events in live cells with high spatiotemporal resolutions. Single-molecule FRET biosensors have been successfully developed to monitor the activity of variety of signaling molecules, including tyrosine/serine/threonine kinases. We have a developed a general high-throughput screening (HTS) method based on directed evolution to develop sensitive and specific FRET biosensors. We have first applied a yeast library and screened for a mutated binding domain for phosphorylated peptide sequence. When this mutated binding domain and the… More >