Zhengyang Zhang^#, Weixue Liu^#, Yinran Huang^*, Ping Li^*

Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1263-1274, 2024, DOI:10.32604/phyton.2024.050755

Abstract Plant antifreeze proteins (AFPs) are special proteins that can protect plant cells from ice crystal damage in low-temperature environments, and they play a crucial role in the process of plants adapting to cold environments. Proteins with these characteristics have been found in fish living in cold regions, as well as many plants and insects. Although research on plant AFPs started relatively late, their application prospects are broad, leading to the attention of many researchers to the isolation, cloning, and genetic improvement of plant AFP genes. Studies have found that the distribution of AFPs in different species… More >

Shoutao Li^1,2,*, Ruyi Qu¹, Yu Zhang¹, Dingli Yu³

Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 2809-2823, 2023, DOI:10.32604/iasc.2023.036999

Abstract Freezing of Gait (FOG) is the most common and disabling gait disorder in patients with Parkinson’s Disease (PD), which seriously affects the life quality and social function of patients. This paper proposes a FOG recognition method based on the Variational Mode Decomposition (VMD). Firstly, VMD instead of the traditional time-frequency analysis method to complete adaptive decomposition to the FOG signal. Secondly, to improve the accuracy and speed of the recognition algorithm, use the CART model as the base classifier and perform the feature dimension reduction. Then use the RUSBoost ensemble algorithm to solve the problem… More >

Mingkai Sun^1,*, Yanan Wang², Pingwei Jiang¹, Zerong Song³, Zhan Gao⁴, Jiaming Xu⁵

Journal of Renewable Materials, Vol.11, No.2, pp. 643-668, 2023, DOI:10.32604/jrm.2022.022168

Abstract A composite rubber concrete (CRC) was designed by combining waste tire rubber particles with particle sizes of 3~5 mm, 1~3 mm and 20 mesh. Taking the rubber content of different particle sizes as the influencing factors, the range and variance analysis of the mechanical and impermeability properties of CRC was carried out by orthogonal test. Through analysis, it is concluded that the optimal proportion of 3~5 mm, 1~3 mm, and 20 mesh particle size composite rubber is 1:2.5:5. 5 kinds of CRC and 3 kinds of ordinary single-mixed rubber concrete (RC) with a total content… More >

Jiamao Li^1,2,*, Tao Si¹, Lin Li¹, Chuangang Fan^1,*, Zhaofang He³, Yuandi Qian³

Journal of Renewable Materials, Vol.10, No.11, pp. 3041-3058, 2022, DOI:10.32604/jrm.2022.020054

Abstract The purpose of this paper was using gold mine tailings and cemented materials with low alkalinity to fabricate baking-free bricks. The obtained baking-free brick samples were evaluated by unconfined compressive strength (UCS), water absorption percentage, freezing-thawing cycle, and drying-wetting cycle. The microstructures of the baking-free brick samples were analyzed using X-ray diffraction (XRD) and scanning electron microscope (SEM) techniques. The baking-free brick specimens cured for 28 days with the addition of 10% mixing water consumption and 1:6 cement/tailing ratio tended to obtain favorable comprehensive properties such as a high compressive strength of 15.15 MPa, a… More > Graphic Abstract

Shengjun Deng^1,2,3, Haolin Chen¹, Xiaonan Gong², Jiajin Zhou², Xiangdong Hu⁴, Gang Jiang^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.1, pp. 251-266, 2022, DOI:10.32604/cmes.2022.020388

Abstract Freeze-sealing pipe roof method is applied in the Gongbei tunnel, which causes the ground surface uplift induced by frost heave. A frost heaving prediction approach based on the coefficient of cold expansion is proposed to simulate the ground deformation of the Gongbei tunnel. The coefficient of cold expansion in the model and the frost heaving rate from the frost heave test under the hydration condition can achieve a good correspondence making the calculation result closer to the actual engineering. The ground surface uplift along the lateral and longitudinal direction are respectively analyzed and compared with… More >

Yafei Li, Yanjun Liu^*

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 775-788, 2022, DOI:10.32604/fdmp.2022.019810

Abstract A mathematical model for one-dimensional heat transfer in pipelines undergoing freezing induced by liquid nitrogen is elaborated. The basic premise of this technology is that the content within a pipeline is frozen to form a plug or two plugs at a position upstream and downstream from a location where work a modification or a repair must be executed. Based on the variable separation method, the present model aims to solve the related coupled heat conduction and moving-boundary phase change problem. An experiment with a 219 mm long pipe, where water was taken as the plugging More >

Mohd Sadiq¹, Mohd Tauheed Khan^2,*, Sarfaraz Masood³

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5183-5200, 2022, DOI:10.32604/cmc.2022.020531

Abstract Parkinson's disease (PD), classified under the category of a neurological syndrome, affects the brain of a person which leads to the motor and non-motor symptoms. Among motor symptoms, one of the major disabling symptom is Freezing of Gait (FoG) that affects the daily standard of living of PD patients. Available treatments target to improve the symptoms of PD. Detection of PD at the early stages is an arduous task due to being indistinguishable from a healthy individual. This work proposed a novel attention-based model for the detection of FoG events and PD, and measuring the… More >

Xiaoyu Li¹, Yiming Huang¹, Qinsheng Zhu^2,*, Xusheng Liu³, Desheng Zheng⁴

CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 3107-3120, 2021, DOI:10.32604/cmc.2021.012698

Abstract Quantum correlation plays a critical role in the maintenance of quantum information processing and nanometer device design. In the past two decades, several quantitative methods had been proposed to study the quantum correlation of certain open quantum systems, including the geometry and entropy style discord methods. However, there are differences among these quantification methods, which promote a deep understanding of the quantum correlation. In this paper, a novel time-dependent three environmental open system model is established to study the quantum correlation. This system model interacts with two independent spin-environments (two spin-environments are connected to the… More >

Shaozhi Zhang, Ruoyi Xie, Mengjie Xu, Guangming Chen^*

FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.6, pp. 1177-1189, 2020, DOI:10.32604/fdmp.2020.010352

Abstract Pre-freezing is an important stage in freeze-drying processes. For the lyophilization of a cell, freezing not only plays a role for primary dehydration, but it also determines the amount of residual (intracellular or extracellular) water, which in turn can influence the solution properties and the choice of operation parameters. The freezing of human platelets in lyoprotectant solution is theoretically investigated here. A two-parameter model and an Arrhenius expression are used to describe cell membrane permeability and its temperature dependency. It is assumed that the intracellular solution is composed of four components: sodium chloride, trehalose, serum… More >

Xiaoyu Li¹, Qinsheng Zhu^{2, *}, Yiming Huang¹, Yong Hu², Qingyu Meng², Chenjing Su¹, Qing Yang², Shaoyi Wu², Xusheng Liu³

CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2143-2151, 2020, DOI:10.32604/cmc.2020.010865

Abstract Quantum correlation shows a fascinating nature of quantum mechanics and plays an important role in some physics topics, especially in the field of quantum information. Quantum correlations of the composite system can be quantified by resorting to geometric or entropy methods, and all these quantification methods exhibit the peculiar freezing phenomenon. The challenge is to find the characteristics of the quantum states that generate the freezing phenomenon, rather than only study the conditions which generate this phenomenon under a certain quantum system. In essence, this is a classification problem. Machine learning has become an effective More >