Mengxu Su¹, Zhanjiang Han^1,*, Zhen Zhao², Xiaofeng Wu¹, Jiaju Wu¹

Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1689-1703, 2024, DOI:10.32604/phyton.2024.052814

Abstract Leaves are important ‘source’ organs that synthesize organic matter, providing carbon sources for plant growth. Here, we used Populus talassica × Populus euphratica, the dominant species in ecological and timber forests, to simulate carbon limitation through artificial 25%, 50%, and 75% defoliation treatments and explore the effects on root, stem, and leaf morphology, biomass accumulation, and carbon allocation strategies. At the 60th d after treatment, under 25% defoliation treatment, the plant height, specific leaf weight, root surface area and volume, and concentrations of non-structural carbohydrates in stem and root were significantly increased by 9.13%, 20.00%, 16.60%,… More >

Mingchuan Yang¹, Jia Zheng², Wenhui Yu¹, Yanghua Li², Yali Wang¹, Zilu Zhang¹, Zhenhui Kang^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1503-1521, 2024, DOI:10.32604/phyton.2024.051718

Abstract Sorghum is not only an important bio-energy crop but also a vital raw material for brewing. Exogenous copper affects the growth and metabolism of crops in specific ways. This study identified 8475 differentially expressed genes (DEGs) by high-throughput transcriptome sequencing in the sorghum cultivar ‘Jinnuoliang 2’ after 24 h of treatment with 10 mM CuSO. Using GO analysis, 476 genes were functionally annotated, which were mainly related to catabolism and biosynthetic processes. Additionally, 90 pathways were annotated by employing the KEGG analysis. Among them, glutathione metabolism and peroxisome were induced, while photosynthesis, photosynthesis-antenna protein, and… More >

Ramiro Reyes-Castro¹, Héctor G. Núñez-Palenius^1,*, Juan I. Valiente-Banuet², María E. Sosa-Morales¹, Blanca E. Orosco-Alcalá¹, Rafael Guzmán-Mendoza¹, Graciela M. L. Ruiz-Aguilar¹, Rogelio Costilla-Salazar¹

Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1467-1484, 2024, DOI:10.32604/phyton.2024.051644

Abstract Bell pepper (Capsicum annuum L.), along with potato and tomato, is one of the three most cultivated vegetables in the world. Bell pepper is worldwide accepted due to its characteristics of color, smell, flavor, and texture. Bell pepper is also considered a nutritious food due to its vitamin and antioxidant contents. In Mexico, bell pepper production has a high value because it is grown for the international markets, particularly the United States of America. Nevertheless, the abscission of flowers and fruits is a factor that limits the yield, hinders the planning of activities, and causes a More >

Shoukai Lin^1,3,4,*, Yifan Xiong², Shichang Xu^1,2, Manegdebwaoaga Arthur Fabrice Kabore², Fan Lin⁵, Fuxiang Qiu^1,2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1485-1502, 2024, DOI:10.32604/phyton.2024.050990

Abstract The SWEET (sugar will eventually be exported transporter) family proteins are a recently identified class of sugar transporters that are essential for various physiological processes. Although the functions of the SWEET proteins have been identified in a number of species, to date, there have been no reports of the functions of the SWEET genes in woodland strawberries (Fragaria vesca). In this study, we identified 15 genes that were highly homologous to the A. thaliana AtSWEET genes and designated them as FvSWEET1–FvSWEET15. We then conducted a structural and evolutionary analysis of these 15 FvSWEET genes. The phylogenetic analysis enabled us… More >

Mingxu Zhang¹, Mingliang Wang², Wei Zhang^3,*

Structural Durability & Health Monitoring, Vol.18, No.5, pp. 599-622, 2024, DOI:10.32604/sdhm.2024.051949

Abstract This paper examines the mechanical behavior of fiber reinforced polymer (FRP)-confined concrete under cyclic compression using the 3D cohesive zone model (CZM). A numerical modeling method was developed, employing zero-thickness cohesive elements to represent the stress-displacement relationship of concrete potential fracture surfaces and FRP-concrete interfaces. Additionally, mixed-mode damage plastic constitutive models were proposed for the concrete potential fracture surfaces and FRP-concrete interface, considering interfacial friction. Furthermore, an anisotropic plastic constitutive model was developed for the FRP composite jacket. The CZM model proposed in this study was validated using experimental data from plain concrete and large More >

Chenkai Hong^1,2,*, Zhongda Lyu^2,*, Fei Wang², Zhuo Zhao², Lei Wang²

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.7, pp. 1565-1592, 2024, DOI:10.32604/fdmp.2024.042685

Abstract To scrutinize the characteristics of wave–current loads on a bridge shuttle-shaped cap–pile foundation, a 1:125 test model was considered in a laboratory flume. The inline, transverse and vertical wave–current forces acting on the shuttle-shaped cap–pile group model were measured considering both random waves and a combination of random waves with a current. The experimental results have shown that the wave–current forces can be well correlated with the wave height, the wavelength, the current velocity, the incident direction and the water level in the marine environment. An increase in the current velocity can lead to a More >

Bingyi Ren^1,4, Juwei Zhang^2,3,4,*, Tong Wang^2,4

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 1425-1440, 2024, DOI:10.32604/cmc.2024.052667

Abstract Autonomous driving technology has entered a period of rapid development, and traffic sign detection is one of the important tasks. Existing target detection networks are difficult to adapt to scenarios where target sizes are seriously imbalanced, and traffic sign targets are small and have unclear features, which makes detection more difficult. Therefore, we propose a Hybrid Feature Fusion Traffic Sign detection algorithm based on YOLOv7 (HFFT-YOLO). First, a self-attention mechanism is incorporated at the end of the backbone network to calculate feature interactions within scales; Secondly, the cross-scale fusion part of the neck introduces a… More >

Batyrkhan Omarov^1,2,*, Meirzhan Baikuvekov¹, Daniyar Sultan¹, Nurzhan Mukazhanov³, Madina Suleimenova², Maigul Zhekambayeva³

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 341-359, 2024, DOI:10.32604/cmc.2024.052437

Abstract This research introduces an innovative ensemble approach, combining Deep Residual Networks (ResNets) and Bidirectional Gated Recurrent Units (BiGRU), augmented with an Attention Mechanism, for the classification of heart arrhythmias. The escalating prevalence of cardiovascular diseases necessitates advanced diagnostic tools to enhance accuracy and efficiency. The model leverages the deep hierarchical feature extraction capabilities of ResNets, which are adept at identifying intricate patterns within electrocardiogram (ECG) data, while BiGRU layers capture the temporal dynamics essential for understanding the sequential nature of ECG signals. The integration of an Attention Mechanism refines the model’s focus on critical segments… More >

Seolhee Kim¹, Sang-Duck Lee^2,*

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 195-215, 2024, DOI:10.32604/cmc.2024.052070

Abstract Damage to parcels reduces customer satisfaction with delivery services and increases return-logistics costs. This can be prevented by detecting and addressing the damage before the parcels reach the customer. Consequently, various studies have been conducted on deep learning techniques related to the detection of parcel damage. This study proposes a deep learning-based damage detection method for various types of parcels. The method is intended to be part of a parcel information-recognition system that identifies the volume and shipping information of parcels, and determines whether they are damaged; this method is intended for use in the… More >

Anam Mughees^1,2,*, Muhammad Kamran^1,3

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 507-526, 2024, DOI:10.32604/cmc.2024.051820

Abstract Non-intrusive load monitoring is a method that disaggregates the overall energy consumption of a building to estimate the electric power usage and operating status of each appliance individually. Prior studies have mostly concentrated on the identification of high-power appliances like HVAC systems while overlooking the existence of low-power appliances. Low-power consumer appliances have comparable power consumption patterns, which can complicate the detection task and can be mistaken as noise. This research tackles the problem of classification of low-power appliances and uses turn-on current transients to extract novel features and develop unique appliance signatures. A hybrid… More >