Yuanyuan Feng¹, Bingli Pan^1,*, Hongyu Liu^1,2, Yuxuan Zhou¹, Xiaofan Ding¹, Xinyu Yuan¹

Journal of Polymer Materials, Vol.41, No.3, pp. 191-203, 2024, DOI:10.32604/jpm.2024.055558 - 30 September 2024

Abstract In this paper, knitted aramid fiber (AF) was used as the support, and graphene oxide (GO) was loaded on the support by the polydopamine (PDA) method. Epoxy resin (EP) was poured to obtain composite materials. The tribological and mechanical properties of the composites were tested, and the wear surface of the composites was characterized by scanning electron microscopy (SEM) and three-dimensional morphology. The results show that knitted AF can markedly improve the mechanical properties of the composites. As a two-dimensional material, GO plays an effective lubrication role, and GO effectively enhances the tribological properties of… More >

Zhenbing Qiao^1,2, Mengyun Chen^1,2, Wenjun Ma^1,2, Juan Zhao^1,2, Jiaju Zhu^1,2, Kaikai Zhu^1,2, Pengpeng Tan^1,2, Fangren Peng^1,2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2349-2365, 2024, DOI:10.32604/phyton.2024.056655 - 30 September 2024

Abstract Ammonium nitrogen (NH₄⁺-N) is one of the main forms of nitrogen absorbed and utilized by plants, and mastering the regulatory mechanism of plant ammonium assimilation is a key way to improve the efficiency of plant nitrogen utilization. Glutamine synthetase (GS) and glutamate synthase (GOGAT), two key enzymes for ammonium assimilation, have rarely been studied in pecan. In this study, GS and GOGAT family members of pecan were identified and analyzed using bioinformatics methods. The results indicated that 6 GS and 4 GOGAT genes were identified. The cis-acting elements can be broadly categorized into light-responsive, hormone-responsive, and stress-responsive elements.… More >

Esra Arslan Yuksel^*

Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2189-2207, 2024, DOI:10.32604/phyton.2024.055053 - 30 September 2024

Abstract Heavy metal contamination in the environment, resulting from human activities or natural processes, poses a significant and widespread challenge. L-glutamic (L-glu) and L-aspartic acid (L-asp) treatments have been reported to improve plant metabolism of heavy metal-exposed plants, but the role of these amino acids in the resistance to lead (Pb²⁺), cadmium (Cd²⁺), arsenic (As³⁺) and nickel (Ni²⁺) treated-bean are unclear when applied together. This study investigated the L-glu and L-asp supplementation-induced changes in some physio-biochemical parameters and some stress-related gene expression levels in Pb²⁺, Cd²⁺, As³⁺, and Ni²⁺-stressed Phaseolus vulgaris (Elkoca and Gina) grown in nutrient solution. The combination of… More >

Abdelkader Mendas^*, Abdellah Mebrek, Zohra Mekranfar

Revue Internationale de Géomatique, Vol.33, pp. 383-398, 2024, DOI:10.32604/rig.2024.055321 - 25 September 2024

Abstract The main purpose of this work is to propose a methodology that considers the multicriteria and multi-actor aspects for assessing land suitability for agriculture. This involves offering a group spatial decision-making approach. The members of a multidisciplinary team can decide on the relative importance of the criteria and the ranking of alternatives. Each member provides his judgment and contributes in a distinct and identifiable manner to find a compromise solution. Twelve criteria (easily available water reserve, cation exchange capacity, electric conductivity, potential of hydrogen (pH), drainage, permeability, active limestone, soil texture, soil useful depth, slopes,… More >

Yonas Hagos^1,2,*, Zelalem Bedaso¹, Mulugeta Kebede³

Revue Internationale de Géomatique, Vol.33, pp. 399-425, 2024, DOI:10.32604/rig.2024.053975 - 27 September 2024

Abstract In regions with unpredictable rainfall and limited water supply, it’s crucial to pinpoint areas with high potential for groundwater and find the best spots for groundwater resource development. This study utilizes the Analytic Hierarchy Process (AHP) in combination with Geographic Information Systems (GIS) to evaluate the potential groundwater zones in the Gombora watershed within the Omo Gibe basin in Ethiopia. Combining these two tools provided a detailed map showing potential groundwater areas. These zones are determined based on various thematic maps containing information about geology, soil texture, lineament density, slope, land use, and drainage density.… More >

Jin Yang^1,2, Hailong Zhao¹, Jingyi Zeng¹, Ying Su^1,2, Mengdi Zhu¹, Xingyang He^1,2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.10, pp. 2163-2181, 2024, DOI:10.32604/fdmp.2024.055448 - 23 September 2024

Abstract To achieve higher strength and better durability, ultra-high performance concrete (UHPC) typically employs a relatively small water-binder ratio. However, this generally leads to an undesired increase in the paste viscosity. In this study, the effects of liquid and powder polycarboxylate superplasticizers (PCE) on UHPC are compared and critically discussed. Moreover, the following influential factors are considered: air-entraining agents (AE), slump retaining agents (SA), and defoaming agents (DF) and the resulting flow characteristics, mechanical properties, and hydration properties are evaluated assuming UHPC containing 8‰ powder PCE (PCE-based UHPC). It is found that the spread diameter of… More >

Shamitha Shetty^1,2, Asha Crasta¹, Sher Afghan Khan^3,*, Abdul Aabid⁴, Muneer Baig⁴

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.10, pp. 2353-2376, 2024, DOI:10.32604/fdmp.2024.051059 - 23 September 2024

Abstract The purpose of this work is to shed light on the effect of the pivot position on the surface pressure distribution over a 3D wing in different flight conditions. The study is intended to support the design and development of aerospace vehicles where stability analysis, performance optimization, and aircraft design are of primary importance. The following parameters are considered: Mach numbers (M) of 1.3, 1.8, 2.3, 2.8, 3.3, and 3.8, angle of incidence (θ) in the range from 5° to 25°, pivot position from h = 0.2 to 1. The results of the CFD numerical More >

Xiao Sun¹, Huifan Huang¹, Yuliang Zhang², Lianghuai Tong^3,*, Xiaowei Xu², Xiaoqi Jia⁴, Litao Ou⁵

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.10, pp. 2251-2264, 2024, DOI:10.32604/fdmp.2024.050997 - 23 September 2024

Abstract In order to obtain the transient characteristics of a low-speed centrifugal pump during the start-up and shutdown stages, dedicated experimental tests were conducted with eight different valve opening conditions. The Pearson correlation coefficient was used to reveal the linear correlation between variables. According to the results, the stable rotational speed decreases with increasing valve opening (rotational speed decreases from approximately 1472 to 1453 r/min), while the stable shaft power exhibits an increasing trend (shaft power increases from approximately 0.242 to 0.390 kW). The stable time and zeroing time of each parameter during start-up and shutdown More >

Yadong Xu¹, Weixing Hong², Mohammad Noori^3,6,*, Wael A. Altabey^4,*, Ahmed Silik⁵, Nabeel S.D. Farhan²

Structural Durability & Health Monitoring, Vol.18, No.6, pp. 763-783, 2024, DOI:10.32604/sdhm.2024.053763 - 20 September 2024

Abstract This study introduces an innovative “Big Model” strategy to enhance Bridge Structural Health Monitoring (SHM) using a Convolutional Neural Network (CNN), time-frequency analysis, and fine element analysis. Leveraging ensemble methods, collaborative learning, and distributed computing, the approach effectively manages the complexity and scale of large-scale bridge data. The CNN employs transfer learning, fine-tuning, and continuous monitoring to optimize models for adaptive and accurate structural health assessments, focusing on extracting meaningful features through time-frequency analysis. By integrating Finite Element Analysis, time-frequency analysis, and CNNs, the strategy provides a comprehensive understanding of bridge health. Utilizing diverse sensor More >

Hao Xu¹, Jing Wang², Rubin Zhu², Alfred Strauss³, Maosen Cao⁴, Zhanjun Wu^1,*

Structural Durability & Health Monitoring, Vol.18, No.6, pp. 785-803, 2024, DOI:10.32604/sdhm.2024.051393 - 20 September 2024

Abstract Delamination is a prevalent type of damage in composite laminate structures. Its accumulation degrades structural performance and threatens the safety and integrity of aircraft. This study presents a method for the quantitative identification of delamination identification in composite materials, leveraging distributed optical fiber sensors and a model updating approach. Initially, a numerical analysis is performed to establish a parameterized finite element model of the composite plate. Then, this model subsequently generates a database of strain responses corresponding to damage of varying sizes and locations. The radial basis function neural network surrogate model is then constructed More >