Zhaohui Tang^1,2,3, Feng Guo^1,2,3, Li Cui^1,2,3, Qingkai Li⁴, Jialei Zhang^1,2,3, Jianguo Wang^1,2,3, Sha Yang^1,2,3, Jingjing Meng^1,2,3, Xinguo Li^1,2,3, Ping Liu^2,3,5,*, Shubo Wan^1,2,3,*

Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 17-34, 2023, DOI:10.32604/phyton.2022.022405

Abstract

Continuous cropping (CC) obstacle is a major threat in legume crops production; however, the underlying mechanisms concerning the roles allelochemicals play in CC obstacle are poorly understood. The current 2-year study was conducted to investigate the effects of different kinds and concentrations of allelochemicals, p-hydroxybenzoic acid (H), cinnamic acid (C), phthalic acid (P), and their mixtures (M) on peanut root growth and productivity in response to CC obstacle. Treatment with H, C, P, and M significantly decreased the plant height, dry weight of the leaves and stems, number of branches, and length of the lateral stem compared with control. Exogenous… More >

P. Anantha Prabha^1,*, G. Suchitra², R. Saravanan³

Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3065-3079, 2023, DOI:10.32604/iasc.2023.030017

Abstract Cephalopods identification is a formidable task that involves hand inspection and close observation by a malacologist. Manual observation and identification take time and are always contingent on the involvement of experts. A system is proposed to alleviate this challenge that uses transfer learning techniques to classify the cephalopods automatically. In the proposed method, only the Lightweight pre-trained networks are chosen to enable IoT in the task of cephalopod recognition. First, the efficiency of the chosen models is determined by evaluating their performance and comparing the findings. Second, the models are fine-tuned by adding dense layers and tweaking hyperparameters to improve… More >

Amruta S. Dixit¹, Sumit Kumar^1,*, Shabana Urooj²

CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 4909-4921, 2022, DOI:10.32604/cmc.2022.027862

Abstract This paper proposes a stable gain and a compact Antipodal Vivaldi Antenna (AVA) for a 38 GHz band of 5G communication. A novel compact AVA is designed to provide constant gain, high front to back ratio (FBR), and very high efficiency. The performance of the proposed AVA is enhanced with the help of a dielectric lens (DL) and corrugations. A rectangular-shaped DL is incorporated in conventional AVA (CAVA) to enhance its gain up to 1 dBi and the bandwidth by 1.8 GHz. Next, the rectangular corrugations are implemented in CAVA with lens (CAVA-L) to further improve the gain and bandwidth. The proposed… More >

Chunxiu Ji¹, Dan Xie^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.24, No.1, pp. 1-2, 2022, DOI:10.32604/icces.2022.08737

Abstract This study has established a reduced order model (ROM) based on spectral proper orthogonal decomposition (SPOD) method in order to proceed an aerothermoelastic response analysis of a hypersonic panel. The two-way coupling between aerothermal and aeroelastic systems is applied [1]. Three aspects of POD-ROM are investigated: 1) the selection of snapshots for POD modes; 2) the comparison between classical POD [2] and SPOD [3]; 3) how to find global POD modes in a parameter space of flight altitude and Mach number. The snapshots are sampled from aerothermoelastic response data via the classical Galerkin method. The numerical results show that the… More >

Shalermchon Tangwachirapan, Wanwisa Thaiwirot^*, Prayoot Akkaraekthalin

CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 411-431, 2022, DOI:10.32604/cmc.2022.028294

Abstract This paper presents the design and analysis of antipodal Vivaldi antennas (AVAs) for breast cancer detection. In order to enhance the antenna gain, different techniques such as using the uniform and non-uniform corrugation, expanding the dielectric substrate and adding the parasitic patch are applied to original AVA. The design procedure of two developed AVA structures i.e., AVA with non-uniform corrugation and AVA with parasitic patch are presented. The proposed AVAs are designed on inexpensive FR4 substrate. The AVA with non-uniform corrugation has compact dimension of mm² or , where is wavelength of the lowest operating frequency. The antenna can operate… More >

Gurram Sunitha^1,*, M. N. Pushpalatha², A. Parkavi³, Prasanthi Boyapati⁴, Ranjan Walia⁵, Rachna Kohar⁶, Kashif Qureshi⁷

Intelligent Automation & Soft Computing, Vol.34, No.1, pp. 423-437, 2022, DOI:10.32604/iasc.2022.024757

Abstract Crop yield is an extremely difficult trait identified using many factors like genotype, environment and their interaction. Accurate Crop Yield Prediction (CYP) necessitates the basic understanding of the functional relativity among yields and the collaborative factor. Disclosing such connection requires both wide-ranging datasets and an efficient model. The CYP is important to accomplish irrigation scheduling and assessing labor necessities for reaping and storing. Predicting yield using various kinds of irrigation is effective for optimizing resources, but CYP is a difficult process owing to the existence of distinct factors. Recently, Deep Learning (DL) approaches offer solutions to complicated data like weather… More >

Jinfeng Liu¹, Yuzhe Zhang¹, Yushi Jiang¹, Hongji Sun¹, Ruijie Duan¹, Jing Qu², Dan Yao¹, Siyan Liu^2,*, Shuyan Guan^2,*

Phyton-International Journal of Experimental Botany, Vol.91, No.7, pp. 1327-1340, 2022, DOI:10.32604/phyton.2022.019870

Abstract Seed shattering refers to the phenomenon in which the pods split along the abdominal and back sutures before the crop is received, so that the seeds are spread. Seed shattering is vital to the reproduction of their offspring in wild plants, but it is also the main cause of crop yield loss reason. Pod-explosion resistance is a complex process of physical and physiological and biochemical reactions. Soybean seed shattering phenomenon is widespread, which severely restricts the development of soybean industry. Seed shattering (pod cracking or fruit dropping) is essential for the reproduction of its offspring in wild plants, but it… More >

Yizhao Huang¹, Nannan Li², Deya Wang⁴, Jian Du¹, Weitang Liu³, Jinxin Wang^3,*, Wei Li^1,*

Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 761-772, 2022, DOI:10.32604/phyton.2022.018462

Abstract Beckmannia syzigachne is a noxious weed for rice-wheat rotations in China. The B. syzigachne (AH-02) population evolved metabolic resistance to fenoxaprop-P-ethyl and mesosulfuron-methyl. To investigate the function of GT73C1 in this population, the GT73C1 gene was amplified by reverse transcription-polymerase chain reaction, and the sequence was 100% consistent with the transcriptome data. Its phylogenetic tree was displayed and annotated using FigTree v1.4.4. The plant overexpression vector of GT73C1 gene was constructed and used to transform Brachypodium distachyon plants. Furthermore, the expression of GT73C1 was significantly induced by fenoxaprop-P-ethyl and mesosulfuron-methyl, which was consistent with the findings from the whole plant… More >

RAFAEL MORENO-GÓMEZ-TOLEDANO^1,*, MARíA I. ARENAS², ESPERANZA VÉLEZ-VÉLEZ³, RICARDO J. BOSCH¹

BIOCELL, Vol.46, No.2, pp. 305-308, 2022, DOI:10.32604/biocell.2022.017894

Abstract Bisphenol A (BPA) is a xenoestrogen known for its implications for the endocrine systems and several other organs, including the kidneys. Recent renal studies have shown that BPA can induce alterations of the cytoskeleton and cell adhesion mechanisms such as a podocytopathy with proteinuria and hypertension, alterations involved in the progression of renal diseases. These data and the fact that BPA is known to be present in the urine of almost the entire population strongly suggest the critical need to reevaluate BPA exposures considered safe. More >

SAMUELE GRECO^1,#, ELISA D’AGOSTINO^2,#, CHIARA MANFRIN¹, ANASTASIA SERENA GAETANO¹, GAEL FURLANIS¹, FRANCESCA CAPANNI¹, GIANFRANCO SANTOVITO², PAOLO EDOMI¹, PIERO GIULIO GIULIANINI¹, MARCO GERDOL^1,*

BIOCELL, Vol.45, No.6, pp. 1611-1619, 2021, DOI:10.32604/biocell.2021.016121

Abstract We here report the de novo transcriptome assembly and functional annotation of Eusirus cf. giganteus clade g3, providing the first database of expressed sequences from this giant Antarctic amphipod. RNA-sequencing, carried out on the whole body of a single juvenile individual likely undergoing molting, revealed the dominant expression of hemocyanins. The mRNAs encoding these oxygen-binding proteins cumulatively accounted for about 40% of the total transcriptional effort, highlighting the key biological importance of high hemocyanin production in this Antarctic amphipod species. We speculate that this observation may mirror a strategy previously described in Antarctic cephalopods, which compensates for the decreased ability… More >