Utility of magnetic resonance imaging for differentiating malignant mesenchymal tumors of the uterus from T2-weighted hyperintense leiomyomas

Purpose To generate a new discrimination method to distinguish between malignant mesenchymal tumors of the uterus and T2-weighted hyperintense leiomyoma based on magnetic resonance imaging findings and clinical features. Materials and methods Data from 32 tumors of 32 patients with malignant mesenchymal tumors of the uterus and from 34 tumors of 30 patients with T2-weighted hyperintense leiomyoma were analyzed. Clinical parameters, qualitative magnetic resonance imaging features, including computed diffusion-weighted imaging, and quantitative characteristics of magnetic resonance imaging of these two tumor types were compared. Predictive values for malignant mesenchymal tumors of the uterus were calculated using variant discriminant analysis. Results The T1 bright area on qualitative assessment and mean apparent diffusion coefficient value on quantitative assessment yielded the most independent magnetic resonance imaging differentiators of malignant mesenchymal tumors of the uterus and T2-weighted hyperintense leiomyoma. The classification accuracy of the variant discriminant analysis based on three selected findings, i.e., a T1 bright area, computed diffusion-weighted imaging with a b-value of 2000s/mm2 (cDWI2000), and T2-hypointense bands, was 84.8% (56/66), indicating high accuracy. Conclusions Variant discriminant analysis using the T1 bright area, cDWI2000, and T2-hypointense bands yielded high accuracy for differentiating between malignant mesenchymal tumors of the uterus and T2-weighted hyperintense leiomyoma.

Research on the Application of Artificial Intelligence Technology in Computer Graphics Processing

In structured light geometric reconstruction, due to the complexity of shooting methods and scene lighting conditions, the resulting images may be lack of image details due to uneven light. For this reason, the article proposes a Retinex algorithm with colour restoration and colour saturation correction strategy based on HSV colour space transformation based on artificial intelligence technology. Then distinguish whether it is a bright area according to the threshold value, and modify the insufficient transmittance estimation of the bright area. Finally, the intensity component and saturation value are restored in the HIS colour space, and the histogram is used to stretch the intensity component.

Updates to TRACK_TEST and TRACK_VISION Computer Programs

The computer programs TRACK_TEST and TRACK_VISION were previously developed to model profiles and optical appearances of tracks developed in solid-state nuclear track detectors. The programs were based on a track development model that involved the bulk etch rate Vb and the track etch rate Vt or the V function (i.e., Vt/Vb). The present work reported our work to update and modify these two programs. In the revised TRACK_TEST, two new V functions were added and enabled. Sample results for the CR-39 detector obtained using the three original and the two new V functions were compared. Discrepancies were within ~10% and <14% for incident alpha-particle energies of 1 MeV and >1 MeV, respectively. Another major revision of TRACK_TEST was to enable calculations for the Makrofol detector. In the revised TRACK_VISION, the two new V functions, as well as the option for the Makrofol detector, were also added. The experimental results on the Makrofol detectors were obtained (irradiated with 3.6-MeV alpha particles under normal incidence and then etched to achieve a removed detector thickness of 30 μm) for comparisons with the modeled results using the revised TRACK_VISION. The track diameters obtained from the experiment and model were 24.7 and 23.2 μm, respectively. Moreover, a bright area in the central parts, together with an outer dark ring, were present in both the simulated and experimental tracks. The track-opening diameters and the general optical appearances of the tracks were in good agreement.

Single Image Defogging Algorithm Based on Conditional Generative Adversarial Network

Outside the house, images taken using a phone in foggy weather are not suitable for automation due to low contrast. Usually, it is revised in the dark channel prior (DCP) method (K. He et al. 2009), but the non-sky bright area exists due to mistakes in the removal. In this paper, we propose an algorithm, defog-based generative adversarial network (DbGAN). We use generative adversarial network (GAN) for training and embed target map (TM) in the anti-network generator, only the part of bright area layer of image, in local attention model image training and testing in deep learning, and the effective processing of the wrong removal part is achieved, thus better restoring the defog image. Then, the DCP method obtains a good defog visual effect, and the evaluation index peak signal-to-noise ratio (PSNR) is used to make a judgment; the simulation result is consistent with the visual effect. We proved the DbGAN is a practical import of target map in the GAN. The algorithm is used defogging in the highlighted area is well realized, which makes up for the shortcomings of the DCP algorithm.

Foggy image–sharpening method with multi-channel polarization information system

This article aims to reduce the influence of heavy fog on the outdoor imaging equipment and to maximally improve the foggy image resolution. It is known that reflected light of the object includes the abundant target polarization information. The foggy image can be restored by these information of the target and the airlight. Therefore, this article introduces a multi-channel polarization information system and defogging algorithm accordingly. The polarization information system provides a necessary solution for the accurate application of a specific algorithm, since it can ensure the accuracy of acquired image information. The key point of the proposed algorithm lies in accurately estimating the parameters in the polarization defogging model. Based on the normal threshold distribution comparison, it can avoid the highlight portion of the non-sky area in the image and accurately estimate the airlight intensity at infinite distance so as to effectively reduce the color distortion of the bright area. The median filtering algorithm is used to obtain the airlight degree of polarization by using three obtained polarization scenes. At last, this article analyzes the experimental results through defogging evaluation indexes and compared the result obtained by this algorithm with others.

An Investigation into Improving the Germination Rates of Aloe Polyphylla Schönland Ex Pillans

A germination technique trial was carried out to improve the germination of Aloe polyphylla Schönland ex Pillans (common name spiral aloe). These germination trials involved different media and temperatures, increased oxygen levels, and light and dark environments. The best results (90% germination) were obtained by vernalising the seeds for two weeks and then placing them in a sunny, but not bright, area with varying temperatures on a water-based medium of either 10% recommended fertiliser solution or in distilled water.The germination of Aloe polyphylla was also compared to three other species in the genus: A. branddraaiensis Groenew, A. castanea Schönl and A. elegans Tod.. The results from this trial showed that, like A. polyphylla, these species can also germinate in water-based media.The success of finding the key requirements for germination show that techniques of this type are important methods for conserving this threatened species and can also be a useful propagation tool for the horticulture industry. The lack of research on this plant highlights the importance of this work for conserving this spectacular species which is listed as Vulnerable in the International Union for Conservation of Nature (IUCN) Plant Red Data list and is registered on the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES).

Research on the Time and Space Characteristic of Argon Dielectric Barrier Discharge at Atmospheric Pressure

Numerical calculations with time dependant one-dimensional fluid model are performed at various conditions in argon atmospheric pressure to calculate electrical characteristics and plasma parameters including charged and metastable molecules densities. The simulation results show after steady discharge are formed, the voltage of discharge gap nearly remain constant and the phase is 0.36π advance of the applied voltage; The current density are in the same period as the applied voltage, the phase is 0.58π ahead of the applied voltage; The steady state Ar are in high number density in the whole discharge gap; The Ar* number density appear peak at the middle of the discharge gap; The Ar+ number density appear peak in the negative bright area.

Occultation Judgment for the Hemispherical Coverage Multi-Planar Arrays Antenna

A flexible hemispherical coverage array antenna based on multi-planar arrays is proposed to meet the growing demands for multi-target TT&C. The advantages and disadvantages of multi-planar arrays and dome phased in engineering implement are compared. Meanwhile, the influence of different number of plane arrays on antenna pattern is analyzed. For the purpose of interference suppression a novel beamforming method by adding constraint conditions is analyzed to enhance the performance of antenna for TT&C system. Considering the influence of occultation effect on the antenna performance, an effective occultation algorithm is presented. Firstly, the faces in bright area are projected on the plane that is perpendicular with the direction of receiving wave. Secondly, adopting the principle of line segment intersection, the intersect relationship of projective planes is determined. Finally, the facets shadowing relationship is judged by the overlapping and depth-of-view of facets along the receiving wave direction. Theoretical analyses and simulation results show that the antenna has approximate uniform gain beampattern in different steered angle and the occultation algorithm is feasible and effective.

Synthesis and photoswitching properties of liquid crystals derived from myo-inositol

A new myo-inositol-based liquid crystal can be used for the creation of optical storage devices. The dark area is the UV-irradiated area forming a disordered isotropic phase, whereas the bright area protected from the light by using a mask remains in the ordered phase.