A digital definition method for manufacturing model of aircraft integral panel

The manufacturing model of aircraft integral panel is presented based on the analysis of its structure and manufacturing process. The manufacturing model for each key process consists of model for processing and model for workpiece to bridge digital design and fabricating. Model for workpiece is used to express the target part information at the end of some operation. Model for processing is used to describe the intermediate state information, and it aims to attain but is different the workpiece because of process factors. The definition flow of the manufacturing model is given. The modeling approach of integral panel part blank from shot peen forming part model orienting to NC cutting is proposed and exemplified. It is analyzed that the approaches above can define the models accurately and totally to meet the needs of process planning , NC fabricating and inspecting

Regulation of human cardiomyocyte excitation-contraction coupling by human cardiac fibroblasts

Physiologically, cardiomyocytes develop features that enable them to meet the contractile demands of the healthy, adult heart. Among the structural and functional changes during development, there is an engagement of the sarcoplasmic reticulum as the main regulator of cytoplasmic Ca2+ cycling. In human cardiac disease and in ageing, there is progressive disengagement of the sarcoplasmic reticulum, reducing the efficiency of excitation-contraction coupling. In this project, we used human induced pluripotent stem cell- derived cardiomyocytes (hiPSC-CMs) to investigate the role of human cardiac fibroblasts in regulating cardiomyocyte Ca2+ cycling. In chapter 3, we use hiPSC-CMs with a genetically encoded Ca2+ indicator to perform optical recording of changes in hiPSC-CM intracellular Ca2+ in various co-culture setups with human cardiac fibroblasts. Co-culture setups that only allowed paracrine interactions between the two cell types led to prolongation of the hiPSC-CM Ca2+ transients. There was an abbreviation in Ca2+ transient duration when the two cell types were in direct physical contact, indicating an increase in Ca2+ cycling efficiency. In chapter 4, we investigated the role of the extracellular matrix in regulating hiPSC- CM Ca2+ cycling. As matrix proteins are known to form interactions with cardiomyocytes via integrin ligand-receptor interactions, we utilised synthetic peptides with the integrin-binding tripeptide motif, Arginine-Glycine-Aspartic Acid, to show that fibril-forming integrin ligands abbreviated hiPSC-CM Ca2+ transients by recruiting the sarcoplasmic reticulum to Ca2+ cycling. In chapter 5, we focus on the role of extracellular vesicles, which have emerged over the last decade as a major secretory vehicle for non-soluble paracrine interactions. A major limitation in the investigation of extracellular vesicles is that isolation techniques, and thus sample purity, varies considerably between studies. In chapter 5, we validated an ultrafiltration- and chromatography-based technique for the isolation of extracellular vesicles from cardiac fibroblast-conditioned culture media and showed that cardiac fibroblast extracellular vesicles significantly abbreviate the hiPSC-CM Ca2+ transient time to peak, indicating an increase in the efficiency of Ca2+-induced Ca2+-release. The findings of this project indicate that cardiac fibroblasts have differential effects on hiPSC-CM Ca2+ cycling depending on the modality of interaction. The findings also indicate that fibroblast-mediated modulation of hiPSC-CM Ca2+ cycling can be mediated by fibroblast-regulated turnover of the extracellular matrix. This project demonstrates the importance of the extracellular interactions in utilising hiPSC-CMs and understanding the modulators of cardiomyocyte structure and function.Open Acces

Wide & deep learning for spatial & intensity adaptive image restoration

Most existing deep learning-based image restoration methods usually aim to remove degradation with uniform spatial distribution and constant intensity, making insufficient use of degradation prior knowledge. Here we bootstrap the deep neural networks to suppress complex image degradation whose intensity is spatially variable, through utilizing prior knowledge from degraded images. Specifically, we propose an ingenious and efficient multi-frame image restoration network (DparNet) with wide & deep architecture, which integrates degraded images and prior knowledge of degradation to reconstruct images with ideal clarity and stability. The degradation prior is directly learned from degraded images in form of key degradation parameter matrix, with no requirement of any off-site knowledge. The wide & deep architecture in DparNet enables the learned parameters to directly modulate the final restoring results, boosting spatial & intensity adaptive image restoration. We demonstrate the proposed method on two representative image restoration applications: image denoising and suppression of atmospheric turbulence effects in images. Two large datasets, containing 109,536 and 49,744 images respectively, were constructed to support our experiments. The experimental results show that our DparNet significantly outperform SoTA methods in restoration performance and network efficiency. More importantly, by utilizing the learned degradation parameters via wide & deep learning, we can improve the PSNR of image restoration by 0.6~1.1 dB with less than 2% increasing in model parameter numbers and computational complexity. Our work suggests that degraded images may hide key information of the degradation process, which can be utilized to boost spatial & intensity adaptive image restoration

Effects of Soybean Aphid, Aphis glycines on Soybean Growth and Yield

Population dynamics of the soybean aphid, Aphis glycines and its effects on soybean growth and yield were surveyed in 1989-1990. Experiments were conducted in the naturally infested plots and in the treated plots using 10% enhanced Dimethoate. In 1989, soybean aphids in the untreated plots developed earlier and increased rapidly. Aphid density per 100 plants on June 15th was over 10,000, and the rapid development period was over 40 d. But aphids in 1990 developed slightly later with a shorter development period. Soybeans in the untreated plots significantly displayed the symptoms of distorted leaves, shorter stems and stunted plants. Plants in the treated plots were higher (20.2 cm in 1989) than those in the untreated plots. Soybean aphids significantly affected soybean yields. Yields in the untreated plots reduced 27.8% compared to that in the treated plots in 1989.Originating text in Chinese.Citation: Wang, Suyun, Bao, Xiangzhi, Sun, Yajie, Chen, Ruilu, Zhai, Baoping, Bao, Xiangzhi. (1996). Effects of Soybean Aphid, Aphis glycines on Soybean Growth and Yield. Soybean Science, 15(3), 243-247

Damage and Control of Soybean Aphid

The soybean aphid, Aphis glycines, is one of the major insect pests of seedling soybean. This aphid has become a serious problem in soybean production due to heavy infestation in recent years and lack of favorable varieties resistant to soybean aphids. To understand the damage by soybean aphids and evaluation of control effect, in 1989-1990, we investigated the population dynamics of soybean aphid in the fields and its effect on soybean growth, development and yield.Originating text in Chinese.Citation: Wang, Suyun, Sun, Yajie, Chen, Ruilu, Zhai, Baoping, Bao, Xiangzhi. (1994). Damage and Control of Soybean Aphid. Technology and Promotion of Plant Protection, 2, 5-6

Prediction of Aphid Infestation by Numbers of Overwintering Soybean Aphid Eggs

Aphis glycines Matsumura is a rampant insect pest on cultivated soybeans in Jilin Province. Prediction of its occurrence and infesting tendency is an important basis for effective control. Issues related with the application of overwintering egg numbers to predict the occurrence of soybean aphid were studied in this paper. The ratio of winter host numbers to summer host numbers and overwintering egg quantity in different areas of Jilin Province were compared. Based on data about overwintering egg quantities in winter hosts, Rhamnus davaricus, aphid numbers in early and pre-peak infestation stage from 1961 to 1981 in Gongzhuling district and aphid infestation level in Siping district, the relationship between overwintering egg quantity, and aphid number were analyzed. A prediction equation for forecasting aphid quantity and aphid infestation level by the overwintering egg quantity in Gongzhuling district was proposed.Originating text in Chinese.Citation: Cheng, Ruilu, Wang, Suyun, Bao, Xiangzhi, Xu, Enpei, Xie, Weimin. (1984). Prediction of Aphid Infestation by Numbers of Overwintering Soybean Aphid Eggs. Journal of Jilin Agricultural Sciences, 34(1), 56-61

SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage Segmentation

Segment Anything Model (SAM), a vision foundation model trained on large-scale annotations, has recently continued raising awareness within medical image segmentation. Despite the impressive capabilities of SAM on natural scenes, it struggles with performance decline when confronted with medical images, especially those involving blurry boundaries and highly irregular regions of low contrast. In this paper, a SAM-based parameter-efficient fine-tuning method, called SAMIHS, is proposed for intracranial hemorrhage segmentation, which is a crucial and challenging step in stroke diagnosis and surgical planning. Distinguished from previous SAM and SAM-based methods, SAMIHS incorporates parameter-refactoring adapters into SAM's image encoder and considers the efficient and flexible utilization of adapters' parameters. Additionally, we employ a combo loss that combines binary cross-entropy loss and boundary-sensitive loss to enhance SAMIHS's ability to recognize the boundary regions. Our experimental results on two public datasets demonstrate the effectiveness of our proposed method. Code is available at https://github.com/mileswyn/SAMIHS .Comment: 5 pages, 3 figures, 2 table

Uniqueness theorem of differential system with coupled integral boundary conditions

The paper is devoted to study the uniqueness of solutions for a differential system with coupled integral boundary conditions under a Lipschitz condition. Our approach is based on the Banach's contraction principle. The interesting point is that the Lipschitz constant is related to the spectral radius corresponding to the related linear operators