The secondary Bjerknes force (SBF) is the time-averaged interaction between two bubbles driven in a sound field. We derived refined formula for force, incorporating radial vibration and translational deformational motions of bubble. coupling pulsation, translation, deformation enhances but also weakens their stability, making it easier to merge or break during motion. effects mode on magnitude direction SBFs coupled with were numerically analyzed studied. Under certain sound-field...

Scrophulariae Radix is one of the most popular traditional Chinese medicines (TCMs), which needs to be processed by 'sweating' methods. Primary processing an important link closely relates quality products in this TCM. To facilitate selection suitable method for Radix, study different methods was evaluated based on simultaneous determination multiple bioactive constituents combined with grey relational analysis. The contents iridoid glycosides, phenylpropanoid and organic acids were...

Phase unwrapping is a critical step to obtaining continuous phase distribution in optical measurements and coherent imaging techniques. Traditional phase-unwrapping methods are generally low performance due significant noise or undersampling. This paper proposes deep convolutional neural network (DCNN) with weighted jump-edge attention mechanism, namely, VDE-Net, realize effective robust unwrapping. Experimental results revealed that the which first proposed simple calculate, useful for The...

Scrophulariae Radix is one of the most popular traditional Chinese medicines. The harvesting time closely related to quality products in this medicine. goal study analyze dynamic changes metabolite accumulation Radix. difference constituents harvested at different times was analyzed by liquid chromatography with triple quadrupole-time flight tandem mass spectrometry coupled principal component analysis and partial least-square discriminant analysis. According accurate molecular product ions...

Automatic identification of fungi in microscopic fecal images provides important information for evaluating digestive diseases. To date, disease diagnosis is primarily performed by manual techniques. However, the accuracy this approach depends on operator's expertise and subjective factors. The proposed system automatically identifies that contain other cells impurities under complex environments. We segment twice to obtain correct area interest, select ten features, including circle number,...

Identifying fungi in microscopic leucorrhea images provides important information for evaluating gynecological diseases. Subjective judgment and fatigue can greatly affect recognition accuracy. This paper proposes an automatic identification system to detect that incorporates a convolutional neural network, the histogram of oriented gradients algorithm, binary support vector machine. In experiments, detection rate positive samples was as high 99.8%. The experimental results demonstrate...

Scrophulariae Radix is one of the most popular traditional Chinese medicines (TCMs). Primary processing an important link which closely related to quality products in this TCM. The aim study explore influence different methods on chemical constituents Radix. difference processed by was analyzed using ultra fast liquid chromatography-triple quadrupole-time flight mass spectrometry coupled with principal component analysis and orthogonal partial least squares discriminant analysis....

Balanced dispersion between reference and sample arms is critical in frequency-domain optical coherence tomography (FD-OCT) to perform imaging with the optimal axial resolution, spectroscopic analysis of each voxel FD-OCT can provide metric spectrogram. Here we revisited mismatch spectrogram view using voxels uncovered that disturbs A-scan's reshapes depth-resolved spectra Based on this effect spectrogram, proposed a numerical method detect compensation for FD-OCT. The visually...

Parasitosis is a disease caused by parasites invading the human body. Because of different species and parasitic sites, it causes pathological changes clinical manifestations, also other complications, which harmful to health. In medicine, diagnosis diseases mostly through etiological diagnosis, that is, detection whether there are eggs in feces. The treatment very important part medicine. At present, recognition classification parasite fecal microscopic images mainly based on manual...

Abstract Fecal samples can easily be collected and are representative of a person’s current health state; therefore, the demand for routine fecal examination has increased sharply. However, manual operation may pollute samples, low efficiency limits general speed; automatic analysis is needed. Nevertheless, recognition exhaustion time accuracy remain major challenges in testing. Here, we introduce fast efficient cell-detection algorithm based on Faster-R-CNN technique: Resnet-152...

The vestibular system is the sensory apparatus that helps body maintain its postural equilibrium, and semicircular canal an important organ of system. canals are three membranous tubes, each forming approximately two‐thirds a circle with diameter 6.5 mm, segmenting them accurately great benefit for auxiliary diagnosis, surgery, treatment disease. However, has small volume, which accounts less than 1% overall computed tomography image. Doctors have to annotate image in slice‐by‐slice manner,...

Glaucoma is characterized by the progressive loss of retinal ganglion cells (RGCs), although pathogenic mechanism remains largely unknown. To study and assess RGC degradation, mouse models are often used to simulate human glaucoma specific markers label quantify RGCs. However, manually counting RGCs time-consuming prone distortion due subjective bias. Furthermore, semi-automated methods can produce significant differences different parameters, thereby failing objective evaluation. Here,...

For the attitude control of a novel stair-climbing wheelchair with inertial uncertainties and external disturbance torques, new synchronous method is proposed via combing high-order sliding mode techniques cross-coupling techniques. this purpose, proper controller designed, which can improve performance system under conditions torque perturbations also guarantee synchronization system. Firstly, robust law designed to track desired position trajectories effectively. Secondly, considering...

Pseudostellariae Radix (PR) is an important traditional Chinese medicine (TCM), which consumed commonly for its positive health effects. However, the chemical differences of PR from different cultivated fields and germplasms are still unknown. In order to comprehensively compare compositions fields, in this study, ¹H-NMR-based metabolomics coupled with high performance liquid chromatography (HPLC) were used investigate metabolites five (jr, zs1, zs2, sb, xc) (Jurong, Jiangsu, JSJR) (Zherong,...

Detection of leukocytes is critical for the routine leukorrhea exam, which widely used in gynecological examinations. An elevated vaginal leukocyte count women with bacterial vaginosis a strong predictor or cervical infections. In counting primarily performed by manual techniques. However, viewing and from multiple high-power fields on glass slide under microscope leads to subjectivity, low efficiency, accuracy. To date, many biological cells stool, blood, breast cancer have been studied...

Leucorrhea routine test is one of the most widely used tests in gynecological examinations, and fungi inspection vital for because an important evidence fungal vaginitis. In order to improve detection accuracy, automatic identification microscopic leucorrhea images based on convolutional neural network (CNN) morphological method proposed this paper. First, we use maximum inter-class variance segment original image obtain possible subimages. Then, a fully trained CNN applied recognize fungi....

Abstract The analysis of fecal-type components for clinical diagnosis is important. main examination involves the counting red blood cells (RBCs), white (WBCs), and molds under microscopic. With development machine vision, some vision-based detection schemes have been proposed. However, these methods a single target detection, with low efficiency accuracy. We proposed an algorithm to identify visible image fecal composition based on intelligent deep learning. mainly includes region proposal...

Quantitative phase imaging and measurement of surface topography fluid dynamics for objects, especially moving is critical in various fields. Although effective, existing synchronous phase-shifting methods may introduce additional changes the light field due to differences optical paths or need specific optics implement phase-shifting, such as beamsplitter with anti-reflective coating a micro-polarizer array. Therefore, we propose method based on Mach-Zehnder interferometer tackle these...

Abstract The significance of facial anti-spoofing algorithms in enhancing the security recognition systems cannot be overstated. Current approaches aim to compensate for model’s shortcomings capturing spatial information by leveraging spatio-temporal from multiple frames. However, additional branches extract inter-frame details increases parameter count and computational workload, leading a decrease inference efficiency. To address this, we have developed robust easily deployable algorithm....