Segmentation of pneumonia lesions from CT scans COVID-19 patients is important for accurate diagnosis and follow-up. Deep learning has a potential to automate this task but requires large set high-quality annotations that are difficult collect. Learning noisy training labels easier obtain alleviate problem. To end, we propose novel noise-robust framework learn the segmentation task. We first introduce Dice loss generalization Mean Absolute Error (MAE) robustness against noise, then Pneumonia...

Semantic segmentation for remote sensing images (RSIs) is widely applied in geological surveys, urban resources management, and disaster monitoring. Recent solutions on tasks are generally addressed by CNN-based models transformer-based models. In particular, architecture struggles with two main problems: a high computation load inaccurate edge classification. Therefore, to overcome these problems, we propose novel transformer model realize lightweight First, based Swin backbone, pure...

Semantic segmentation by using remote sensing images is an efficient method for agricultural crop classification. Recent solutions in are mainly deep-learning-based methods, including two mainstream architectures: Convolutional Neural Networks (CNNs) and Transformer. However, these architectures not sufficiently good the task due to following three reasons. First, ultra-high-resolution need be cut into small patches before processing, which leads incomplete structure of different categories’...

Semantic segmentation is a significant method in remote sensing image (RSIs) processing and has been widely used various applications. Conventional convolutional neural network (CNN)-based semantic methods are likely to lose the spatial information feature extraction stage usually pay little attention global context information. Moreover, imbalance of category scale uncertain boundary meanwhile exists RSIs, which also brings challenging problem task. To overcome these problems,...

Land cover classification is able to reflect the potential natural and social process in urban development, providing vital information stakeholders. Recent solutions on land are generally addressed by remotely sensed imagery supervised methods. However, a high-performance classifier desirable but challenging due existence of model hyperparameters. Conventional approaches rely manual tuning, which time-consuming far from satisfying. Therefore, this work aims propose systematic method...

3D-printed porous bioactive ceramic scaffolds have been widely used in bone defect repair. However, material implantation is often accompanied by a foreign body response (FBR), which may affect host tissue regeneration. The physical properties of biomaterials, including shape, pore size, and porosity, control the relevant immune responses during To best our knowledge, effect size on bone-biomaterial integration has not studied vivo. Polycaprolactone/polyethylene glycol/hydroxyapatite...

Crop disease seriously affects production because of its highly destructive property. Wheat under different levels infection should be treated by various chemical strategies to enable a precision plant protection. Therefore, fast and robust algorithm for wheat yellow rust severity determination is desirable sustainable management. The recent use remote sensing deep learning drawing increasing research interests in detection at leaf level. However, little reviews take field-scale into account...

The dual-tracked deep-sea mining vehicles used for sea trials generally cannot meet the demands of large-scale manganese nodules production due to their inadequate load bearing and traction performance. Various seabed organizations have gradually started four-tracked as traveling ore collection machines demand enhanced tractive A notable challenge encountered is significant front-rear track effect observed when these navigate soft-cohesive sediments. Addressing this, our study introduces a...

Crop disease is widely considered as one of the most pressing challenges for food crops, and therefore an accurate crop detection algorithm highly desirable its sustainable management. The recent use remote sensing deep learning drawing increasing research interests in wheat yellow rust detection. However, current solutions on are generally addressed by RGB images basic semantic segmentation algorithms (e.g., UNet), which do not consider irregular blurred boundary problems area therein,...

Coccidiosis causes considerable economic losses in the poultry industry. At present, pathology of coccidiosis is preventable with anticoccidials and vaccination, although at cost to international The purpose present study was elucidate relationship between Eimeria tenella development host cell apoptosis chickens, which provides a theoretical basis for further injury mechanism E. prevention treatment coccidiosis. Cecal epithelial cells from chick embryo were used as vitro. In addition, flow...

Although the mitochondrial permeability transition pore (MPTP) is associated with cellular apoptosis and necrosis, its effect in host response to Eimeria infections not well understood. In an effort better understand of MPTP on tenella cells, inhibitor (cyclosporin A) was used inhibit opening vitro. Cecal epithelial cells from chick embryos, which were either treated or non-treated cyclosporin A, as cells. addition, primary embryo cecum cell culture techniques flow cytometry detect dynamic...

Abstract Aiming at the problems of insufficient dynamic control and data mining Expressway pavement construction quality in Yunnan, this paper analyzes application Exponentially Weighted Moving Average (EWMA) chart asphalt quality. Firstly, characteristic value is defined as type multiple variation sources, mathematical model sources studied to solve problem excessive false alarm. Then, on theoretical basis statistical process (SPC), compares three schemes traditional Hugh Hart chart,...

In this study, we evaluated the feasibility and accuracy of Univent tube (Fuji Systems, Tokyo, Japan) placement with aid auscultation (AUS) or as guided by a lighted stylet (LS) compared fiberoptic bronchoscope (FOB) blind intubation technique recommended manufacturer's guidelines.Eighty ASA physical status I-II adult patients requiring single-lung ventilation for elective thoracic surgery were randomly allocated into 4 groups according to method used positioning: manufacturer-recommended...

Abstract The treatment of implant-associated bone infection remains a significant clinical challenge. However, scaffolds with antimicrobial activity and osteoinductive properties can prevent these infections improve outcomes. In this study, borosilicate bioglass chitosan composite were prepared, then the surface was modified nano-zinc oxide. vitro in vivo experiments showed that chitosan/borosilicate have good degradation osteogenic properties, while oxidized Zinc better antibacterial properties.

The low-rank models have gained remarkable performance in the field of remote sensing image denoising. Nonetheless, existing low-rank-based methods view residues as noise and simply discard them. This causes denoised results to lose many important details, especially edges. In this paper, we propose a new denoising method named EPLRR-RSID, which focuses on edge preservation improve quality details. Specifically, considered combination useful edges noisy components. order better learn...

In inverse synthetic aperture radar (ISAR) imaging of maneuvering targets, traditional high-order phase compensation methods are usually limited by the heavy computational burden parameter estimation, making it hard to apply in real-time cases. this letter, an efficient ISAR motion method is proposed based on fast estimation. A novel analytic expression image entropy derived with help a matrix sinc function interpolation, which can eliminate term. Hence, estimation transformed optimization...

Abstract The seabed soil of the polymetallic nodule mining area is relatively thin, soft, and fluid, which will produce large deformation under external disturbance. Its undrained shear strength related to strain-rate strain-softening effect. It an important engineering safety problem for deep-sea vehicle (DSMV) travel in soft seabed, its sinkage a vital index affecting traction performance. necessary study performance DSMV characteristics deformation, but there are only few existing...

Eimeria tenella (E. tenella) is a species of that causes haemorrhagic caecal coccidiosis, resulting in major economic losses the global poultry industry. After E. infection, amount ATP and Bax host cells showed highly significant changes. Therefore, it necessary to investigate effects on apoptosis cells. The ATP-treated group V5-treated had higher infection rates than untreated at 24, 48, 72, 96, 120 h after with tenella. results flow cytometry compared control group, mitochondrial...

This study aimed to explore the role and key point of EtMIC4 EGF-like recombinant protein in regulating apoptosis Eimeria tenella host cells via epidermal growth factor receptor (EGFR) pathway. The were treated with protein, EGFR-specific siRNA, or both. Infection rates as well dynamic changes genes proteins EGFR signaling pathway determined. Results showed that E. group had highest infection rate (P < 0.01). In for 4 24 h, was significantly decreased 0.01) relative mRNA expression...