Jiaxin Chen^1,#, Jiawei Guo^1,#, Zhixin Yang¹, Jiqing Yang^2,*, Hengwen Dong³, Huiyun Wang³, Yalei Wang³, Fangdong Zhan^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.2, pp. 471-485, 2023, DOI:10.32604/phyton.2022.023660

Abstract Heavy metal-polluted soil was collected from the Pulang copper mine in Shangri-La City, Yunnan Province, Southwest China. The effects of fertilizer (organic and inorganic) and arbuscular mycorrhizal fungi (AMF) on ryegrass (Lolium multiflorum L.) growth, root morphology, mineral nutrition and cadmium (Cd) and lead (Pb) contents were investigated by pot experiments. The results showed that both fertilizer and AMF significantly ameliorated the root morphology and mineral nutrition, reduced the Cd and Pb contents, and promoted the growth of ryegrass. Among all treatments, the combined application of organic–inorganic compound fertilizer with AMF had the highest effect, resulting in increases in root… More >

Rui Jiang^1,3,*, Kaisheng Lai², Jianping Xu¹, Xiang Feng¹, Shaoye Wang¹, Xiaojian Wang³, Zhe Liu²

Congenital Heart Disease, Vol.17, No.6, pp. 675-686, 2022, DOI:10.32604/chd.2022.021626

Abstract Background: The etiology of pulmonary arterial hypertension associated with congenital heart disease (PAHCHD) is complicated and the phenotype is heterogeneous. Genetic defects of NOTCH3 were associated with cerebral disease and pulmonary hypertension. However, the relationship between NOTCH3 mutations and the clinical phenotype has not been reported in CHD-PAH. Methods: We eventually enrolled 142 PAH-CHD patients from Fuwai Hospital. Whole exome sequencing (WES) was performed to screen the rare deleterious variants of NOTCH3 gene. Results: This PAH-CHD cohort included 43 (30.3%) men and 99 (69.7%) women with the mean age 29.8 ± 10.9 years old. The pathogenic or likely pathogenic mutations… More >

Shoushi Wang¹, Jingping Shi², Ruike Sheng¹, Si Yu¹, Wei Xu^1,*

International Journal of Mental Health Promotion, Vol.24, No.6, pp. 933-944, 2022, DOI:10.32604/ijmhp.2022.023083

Abstract Academic procrastination among adolescents is an increasingly prominent problem. It is important to look for influences behind academic procrastination in the adolescent population. The present study aimed to reveal the explanatory mechanisms underlying the association between hope and academic procrastination behaviors among Chinese adolescents by testing the mediating role of attentional control and the moderating role of trait mindfulness. Participants in the current study were 1156 Chinese adolescents who completed self-report questionnaires on hope, attentional control, academic procrastination, and trait mindfulness. The results indicated that adolescent hope was negatively related to academic procrastination and that attentional control partially mediated this… More >

Ji Wang¹, Liming Li^1,2,3, Shubin Zheng^1,3, Shuguang Zhao², Xiaodong Chai^1,3, Lele Peng^1,3, Weiwei Qi^1,3, Qianqian Tong¹

CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1671-1706, 2023, DOI:10.32604/cmes.2022.022143

Abstract Loosening detection; cascade deep convolutional neural network; object localization; saliency detection problem of bolts on axlebox covers. Firstly, an SSD network based on ResNet50 and CBAM module by improving bolt image features is proposed for locating bolts on axlebox covers. And then, the A²-PFN is proposed according to the slender features of the marker lines for extracting more accurate marker lines regions of the bolts. Finally, a rectangular approximation method is proposed to regularize the marker line regions as a way to calculate the angle of the marker line and plot all the angle values into an angle table, according… More > Graphic Abstract

Samuel Bimenyimana¹, Chen Wang^1,*, Godwin Norense Osarumwense Asemota², Aphrodis Nduwamungu², Francis Mulolani⁶, Jean De Dieu Niyonteze⁸, Shilpi Bora^1,7, Chun-Ling Ho¹, Noel Hagumimana³, Theobald Habineza⁴, Waqar Bashir⁵, Yiyi Mo¹

Energy Engineering, Vol.119, No.6, pp. 2369-2406, 2022, DOI:10.32604/ee.2022.019257

Abstract The world’s energy consumption and power generation demand will continue to rise. Furthermore, the bulk of the energy resources needed to satisfy the rising demand is far from the load centers. The aforementioned requires long-distance transmission systems and one way to accomplish this is to use high voltage direct current (HVDC) transmission systems. The main technical issues for HVDC transmission systems are loss of synchronism, variation of quadrature currents, amplitude, the inability of station 1 (rectifier), and station 2 (inverter) to either inject, or absorb active, or reactive power in the network in any circumstances (before a fault occurs, during… More >

Bulbul Sharma^1,*, N. Karthick¹, Durgesh Prasad Bagarty²

Energy Engineering, Vol.119, No.6, pp. 2585-2605, 2022, DOI:10.32604/ee.2022.021465

Abstract This multilevel inverter methodology is the center of focus among researchers in recent era. It has been focused due to its advantages over existing topologies, drawbacks and improvement of power quality, Multi-level inverter has the ability to generate nearly sinusoidal waves. This sinusoidal wave can be further improved by increasing the level of output voltage or with the help of filter design, and this manuscript presents single-phase Multi cell Multi-Level Inverter (MLI). It has been considered for reducing component count to get a higher number of output voltage levels and lower Total harmonics distortion profile. It comprises with four symmetric… More >

Wenbin Wu¹, Guanjun Liu^1,*, Kaiyi Liang², Hui Zhou²

CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1323-1335, 2023, DOI:10.32604/cmes.2022.020428

Abstract Deep neural networks are now widely used in the medical image segmentation field for their performance superiority and no need of manual feature extraction. U-Net has been the baseline model since the very beginning due to a symmetrical U-structure for better feature extraction and fusing and suitable for small datasets. To enhance the segmentation performance of U-Net, cascaded U-Net proposes to put two U-Nets successively to segment targets from coarse to fine. However, the plain cascaded U-Net faces the problem of too less between connections so the contextual information learned by the former U-Net cannot be fully used by the… More >

Tingshun Li¹, Jiaohui Xu^1,*, Zesan Liu², Dadi Wang², Wen Tan¹

CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 767-782, 2023, DOI:10.32604/cmes.2022.020702

Abstract The blades of wind turbines located at high latitudes are often covered with ice in late autumn and winter, where this affects their capacity for power generation as well as their safety. Accurately identifying the icing of the blades of wind turbines in remote areas is thus important, and a general model is needed to this end. This paper proposes a universal model based on a Deep Neural Network (DNN) that uses data from the Supervisory Control and Data Acquisition (SCADA) system. Two datasets from SCADA are first preprocessed through undersampling, that is, they are labeled, normalized, and balanced. The… More >

C. K. Morarji^1,*, N. Sathish Kumar²

Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2875-2892, 2023, DOI:10.32604/iasc.2023.025776

Abstract One of the recent advancements in the electrical power systems is the smart-grid technology. For the effective functioning of the smart grid, the process like monitoring and controlling have to be given importance. In this paper, the Wireless Sensor Network (WSN) is utilized for tracking the power in smart grid applications. The smart grid is used to produce the electricity and it is connected with the sensor to transmit or receive the data. The data is transmitted quickly by using the Probabilistic Neural Network (PNN), which aids in identifying the shortest path of the nodes. While transmitting the data from… More >

EKHLAQUE A. KHAN^1,2,*, HAMDINO M. I. AHMED³, MEENA MISRA¹, PALLAVI SHARMA^1,4, AMARENDRA N. MISRA^1,5, MIRZA HASANUZZAMAN^6,*

BIOCELL, Vol.46, No.12, pp. 2583-2593, 2022, DOI:10.32604/biocell.2022.021732

Abstract

Cadmium (Cd) causes oxidative stress, which leads to the oxidation of various biomolecules by the production of reactive oxygen species (ROS) to facilitate programmed cell death (PCD). The antioxidant defense system fails to detoxify ROS when it is produced in excess. Nitric oxide (NO), a gaseous free radical and a phytohormone, regulates various physiological processes of plants. Therefore, this work was undertaken to study the effects of the application of exogenous sodium nitroprusside (SNP, a NO donor) on growth parameters, oxidative stress, accumulation of secondary metabolites, and activities of antioxidant enzymes under Cd stress. Mild (50 µM) and severe (200… More >