S. Ravi Teja^a , Chellapilla V. K. N. S. N. Moorthy^b,*, S. Jayakumar^c , Ayyagari Kiran Kumar^d , V. Srinivas^c,*

Frontiers in Heat and Mass Transfer, Vol.15, No.1, pp. 1-9, 2020, DOI:10.5098/hmt.15.7

Abstract This article is a summary of research involving the evaluation of the thermo-physical properties of Mono-ethylene - glycol-based solar thermic fluids oxidized multiwalled carbon nanotubes. Nanofluids were prepared with Mono-ethylene glycol and water as base fluids in 100:0, 90:10 and 80:20 ratios. These base fluids of three categories were dispersed with purified and oxidized multiwalled carbon nanotubes (MWCNTs) in the weight fractions of 0.125, 0.25 and 0.5 percentages. The variation in zeta potential is studied to examine the dispersion stability during 2 months. Thermal conductivity and dynamic viscosity were measured by hot disk method and Anton paar viscometer respectively. Significant… More >

SHU ZHAO^1,*, SHIXIN YE²

BIOCELL, Vol.47, No.6, pp. 1377-1388, 2023, DOI:10.32604/biocell.2023.023874

Abstract Background: This paper aims to establish a light-controlled phosphorylation detection method at the Y785 site of tropomyosin receptor kinase A (TrkA) receptor in mammalian cells by using genetic code expansion technology and detecting the effects of optical activation of this site on the downstream MAPK/ERK pathway. The study is based on the current situation that the regulatory mechanism of TrkA phosphorylation has not been fully elucidated. Methods: Two photosensitive unnatural amino acids, p-azido-L-phenylalanine (AzF) and photo-caged tyrosine (ONB) were introduced into the TrkA-Y785 site by genetic code expansion technology and site-directed mutagenesis. Western blotting and laser confocal imaging were conducted… More >

Chenxi Yu, Xin Li^*

Journal of Quantum Computing, Vol.4, No.2, pp. 63-74, 2022, DOI:10.32604/jqc.2022.027715

Abstract In the field of public security, the standardized use of police equipment can better assist the public security police in performing their duties. With the advancement of science and technology of the times, police equipment is also constantly developing, and more and more new types of police equipment have appeared. Nowadays, there are a large number and variety of police equipment, and public security police are facing the challenge of mastering and updating equipment knowledge. This article builds a knowledge base of police equipment based on the knowledge of opening source data on the Internet, uses a variety of databases… More >

Christine Plumejeaud-Perreau¹ , Lucie Nahassia² , Julie Gravier²

Revue Internationale de Géomatique, Vol.31, No.1, pp. 47-80, 2022, DOI:10.3166/RIG.31.47-80

Abstract Through three examples coming from long-term studies of population dynamics in France, intra and inter-urban, this paper shows that the introduction of some “a-historical” ontologies was required to implement quantitative analyses of spatial evolutions. However, we demonstrate that these ontologies are far from being neutral, and that they do not dissolve the specificity of the sources we used, but on the contrary, they constitute situated knowledge. Beyond these criticisms, the authors tend to argue that the process of construction and dialogue established around ontology is very beneficial to research, that it is a foundation for an interdisciplinary, shared and sustainable… More >

B. Porro

Psycho-Oncologie, Vol.17, No.1, pp. 25-30, 2023, DOI:10.3166/pson-2022-0225

Abstract The professional support of working-aged cancer patients is of major public health importance. Whether they return to work or not, the priority remains to preserve their quality of life. Moreover, for some patients, a professional break can be taken in favor of commitment for associations, care, and/or scientific research services. This is a real return to activity which can be synonymous with a professional springboard for these patients as well. This is because they can build a new professional trajectory by combining their initial professional skills and their acquired experiential knowledge. This is the light we wish to shed in… More >

Jin Zhao, Yi Wang^*, Zhengwei Ma

Structural Durability & Health Monitoring, Vol.17, No.2, pp. 159-173, 2023, DOI:10.32604/sdhm.2023.09601

Abstract Viscoelastic damper is an effective passive damping device, which can reduce the seismic response of the structure by increasing the damping and dissipating the vibration energy of structures. It has a wide application prospect in actual structural vibration control because of simple device and economical material. In view of the poor seismic behaviors of assembled frame structure connections, various energy dissipation devices are proposed to improve the seismic performance. The finite element numerical analysis method is adopted to analyze relevant energy dissipation structural parameters. The response spectrum of a 7-story assembled frame structure combined the ordinary steel support, ordinary viscoelastic… More >

Xueqing Liao^*

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 677-690, 2023, DOI:10.32604/iasc.2023.037219

Abstract In order to improve the consistency between the recommended retrieval results and user needs, improve the recommendation efficiency, and reduce the average absolute deviation of resource retrieval, a design method of intelligent recommendation retrieval model for Fujian intangible cultural heritage digital archive resources based on knowledge atlas is proposed. The TG-LDA (Tag-granularity LDA) model is proposed on the basis of the standard LDA (Linear Discriminant Analysis) model. The model is used to mine archive resource topics. The Pearson correlation coefficient is used to measure the relevance between topics. Based on the measurement results, the FastText deep learning model is used… More >

Jixun Gao^1,2, Bingyi Hu², Jialei Liu^3,4,*, Huaichen Wang⁵, Quanzhen Huang¹, Yuanyuan Zhao⁶

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1-16, 2023, DOI:10.32604/iasc.2023.036890

Abstract Mobile Edge Computing (MEC) is proposed to solve the needs of Internet of Things (IoT) users for high resource utilization, high reliability and low latency of service requests. However, the backup virtual machine is idle when its primary virtual machine is running normally, which will waste resources. Overbooking the backup virtual machine under the above circumstances can effectively improve resource utilization. First, these virtual machines are deployed into slots randomly, and then some tasks with cooperative relationship are offloaded to virtual machines for processing. Different deployment locations have different resource utilization and average service response time. We want to find… More >

Ling Wang, Jingchi Jiang^*, Jingwen Song, Jie Liu

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 833-848, 2023, DOI:10.32604/iasc.2023.036402

Abstract It is significant for agricultural intelligent knowledge services using knowledge graph technology to integrate multi-source heterogeneous crop and pest data and fully mine the knowledge hidden in the text. However, only some labeled data for agricultural knowledge graph domain training are available. Furthermore, labeling is costly due to the need for more data openness and standardization. This paper proposes a novel model using knowledge distillation for a weakly supervised entity recognition in ontology construction. Knowledge distillation between the target and source data domain is performed, where Bi-LSTM and CRF models are constructed for entity recognition. The experimental result is shown… More >

Hasan Han¹, Oguzcan Karadeniz¹, Tugba Dalyan^2,*, Elena Battini Sonmez², Baykal Sarioglu¹

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1209-1224, 2023, DOI:10.32604/iasc.2023.030674

Abstract Robot companions will soon be part of our everyday life and students in the engineering faculty must be trained to design, build, and interact with them. The two affordable robots presented in this paper have been designed and constructed by two undergraduate students; one artificial agent is based on the Nvidia Jetson Nano development board and the other one on a remote computer system. Moreover, the robots have been refined with an empathetic system, to make them more user-friendly. Since automatic facial expression recognition skills is a necessary pre-processing step for acknowledging emotions, this paper tested different variations of Convolutional… More >