After eight-leaf stage, maize is highly sensitive to drought, heat and their combination, which greatly affect its production. In present, it still scare for analyzing response combined drought stress after stage. this study, the content or activity of physical parameters such as H2O2, malondialdehyde (MDA), superoxide dismutase (SOD), ascorbate peroxidase (APX) glutathione reductase (GR) was increased, but quantum efficiency photosystem II (ΦPSII) decreased by combination on The most...

Abstract Global warming poses a serious threat to crops. Calcium‐dependent protein kinases (CDPKs)/CPKs play vital roles in plant stress responses, but their exact thermotolerance remains elusive. Here, we explored the of heat‐induced ZmCDPK7 maize. ‐overexpressing maize plants displayed higher thermotolerance, photosynthetic rates, and antioxidant enzyme activity lower H 2 O malondialdehyde (MDA) contents than wild‐type under heat stress. ‐knockdown opposite patterns. is attached plasma...

Abstract In plants, 3´,5´-cyclic adenosine monophosphate (cAMP) is an important second messenger with varied functions; however, only a few adenylyl cyclases (ACs) that synthesize cAMP have been identified. Moreover, the biological roles of ACs/cAMP in response to stress remain largely unclear. this study, we used quantitative proteomics techniques identify maize heat-induced putative disease-resistance RPP13-like protein 3 (ZmRPP13-LK3), which has three conserved catalytic AC centres. The...

Passive millimeter-wave (PMMW) imaging is an ideal technique for concealed object detection in non-contact security inspection scenarios, and has been widely used railway stations airports. However, there are still several challenges that limit the accuracy of PMMW images: low resolution, small objects complex background interference. The existing deep learning-based methods mainly adopt two-stage architecture with convolutional neural networks (CNN) as backbone feature extraction, while...

Passive millimeter-wave (PMMW) imager can detect concealed objects under clothing in a touch-free manner. Existing detectors exhibit promising performance on specific PMMW datasets. However, these will suffer severe degradation due to the inevitable domain shift when environment changes real applications. To avoid huge manual efforts preparing target dataset, unsupervised adaption (UDA) is proposed tackle this issue. UDA holds assumption that labeled source data and unlabeled are accessible...

Drought stress is one of major factors resulting in maize yield loss. The roles abscisic acid (ABA) have been widely studied crops response to drought stress. However, more attention needed identify key ABA-related proteins and also gain deeper molecular insights about maize. Based on this need, the physiology proteomics ABA-deficient mutant vp5 its wild-type Vp5 under were examined analyzed. Malondialdehyde content increased quantum efficiency photosystem II decreased both genotypes....

Abstract Taiwanofungus camphoratus is a highly valued medicinal mushroom that endemic to Taiwan, China. In the present study, mitogenome of T. was assembled and compared with other published Polyporales mitogenomes. The composed circular DNA molecules, total size 114,922 bp. Genome collinearity analysis revealed large-scale gene rearrangements between mitogenomes , contained unique order. number classes introns were variable in 12 species we examined, which proved numerous intron loss or...

Passive millimeter wave (PMMW) imaging has merits of non-radiation and good penetrability to most clothes, hence it been a reliable security technique for the detection concealed objects. At present, deep learning based approaches have shown great advantage in automatic detection. However, low resolution high background noise PMMW images make task tricky, especially small In this paper, we propose transformer-based anchor-free detector with integration local/global information adaptive label...

Aiming at the problems of low measurement efficiency and poor accuracy consistency in traditional methods medical bone nails, a set nail size system based on machine vision was developed. Firstly, edge position located by setting ROI area. Then Canny algorithm is used to extract accurately, points are screened threshold, fitted into straight line segments least square method for measurement. Finally, using Halcon image software platform, shape matching match locate batch detection nails...

To achieve objective and accurate recognition of the maturity cigar leaves, industrial cameras were used to capture images leaves at three different levels leaves: immature, mature, overripe. MATLAB was establish AlexNet ResNet_18 classification models. The results showed that both achieved higher accuracy during training process with optimized structure 2 than classical 1. InitialLearnRate MiniBatchSize highest accuracies 0.001 32%, respectively. precision, recall, F1 score after...

Passive millimeter wave has been employed in security inspection owing to a good penetrability clothing and harmlessness. However, the passive images (PMMWIs) suffer from low resolution inherent noise. The published methods have rarely improved quality of for PMMWI performed detection only based on with bounding box, which cause high rate false alarm. Moreover, it is difficult identify low-reflective non-metallic threats by differences grayscale. In this paper, method detecting concealed...

Abstract High temperature constitutes a serious threat to crops. 3′,5′‐cyclic adenosine monophosphate (cAMP) is increasingly proved play important roles in plants. However, the mechanism of cAMP‐mediated thermotolerance root remains unclear. This study was designed investigate cAMP maize root. Adenylyl cyclase (AC) catalyzes ATP generate cAMP. For two identified AC genes, ZmRPP13 ‐ LK3 and ZmPSiP , predictive ABA response element found their promoter fragments. Both heat stress treatment...

Maize is one of the most widely cultivated crops. It accumulates a large quantity seed storage proteins, which are important for development and germination, contribute to nutritional quality seeds. Based on solubility, proteins divided into albumins (water-soluble), globulins (salt-soluble), prolamins (alcohol-soluble), glutelins (acid- or alkali-soluble). hybrids due superior performance F1 than that their parents, phenomenon known as heterosis. However, accumulation patterns in maize...

We introduce a new general TV regularizer, namely, generalized regularization, to study image denoising and nonblind deblurring problems. In order discuss the restoration with solution-driven adaptivity, we consider existence uniqueness of solution for mixed quasi-variational inequality. Moreover, convergence modified projection algorithm solving inequalities is also shown. The corresponding experimental results support our theoretical findings.

The optimization problem about choice of the best tourism was introduced in paper. method analytic hierarchy process to optimize selection operations. Meanwhile, concept and principle introduced. Then, model established solution given. In end, a example provided demonstrates application it proved that methods proposed is efficient solve problems more complex fuzzy decision management.

The multicast routing technology with multi-QoS constraint is the key for distributed multimedia on network. In this scheme, ant colony algorithm one of best algorithms solving problem, but it takes too much time to converge. Therefore, an improved was proposed. utilizes pheromone positive feedback effect guide chaos search. advantage scheme that initialization adopted improve individual quality and perturbation utilized avoid search being trapped in local optimum, meanwhile packet delivery...

Passive millimeter-wave (PMMW) imaging is extensively employed in public security industries due to its privacy-safe and non-hazardous nature. Nevertheless, the quality of PMMW images typically poor given blur noise. Although end-to-end learning-based image deconvolution methods have demonstrated promising results, they are highly sensitive minor variations during tests, making them fail recover small yet crucial details. On other hand, kernel estimation from textureless also challenging,...

Vision-language models (VLMs) have been applied to robot task planning problems, where the receives a in natural language and generates plans based on visual inputs. While current VLMs demonstrated strong vision-language understanding capabilities, their performance is still far from being satisfactory tasks. At same time, although classical planners, such as PDDL-based, are for long-horizon tasks, they do not work well open worlds unforeseen situations common. In this paper, we propose...