Search

AIM: To evaluate the binocular visual function in high myopia patients after the implantation of implantable collamer lens(ICL)V4c.METHODS: A total of 35 cases(70 eyes)that received binocular ICL implantation at our hospital from May 2019 to May 2021 were enrolled in this prospective study. Binocular full-range visual acuity, contrast sensitivity, stereopsis, mesopic vision and glare sensitivity, and monocular wavefront and the quality of vision questionnaire were assessed before the surgery and at 1 mo postoperatively.RESULTS: At 1 mo postoperatively, 35 cases(100%)had binocular uncorrected distance visual acuity(UDVA)≤0.00(LogMAR), 16 cases(46%)had binocular UDVA≥preoperative corrected distance visual acuity(CDVA). Binocular UDVA and uncorrected intermediate visual acuity(UIVA,80 cm)were improved compared to preoperative CDVA and distance-corrected intermediate visual acuity(DCIVA,80 cm)(all P0.05). The binocular contrast sensitivity was significantly improved postoperatively(P=0.001), and the postoperative binocular mesopic vision, glare sensitivity(no glare/glare)and binocular stereopsis(5 m/40 cm)had no differences(all P>0.05). The postoperative total higher-order aberration, trefoil aberration, coma and spherical aberration were increased, besides the median of total coma in the right eye with a pupil diameter of 3.0 mm was decreased after surgery. The mean total score of quality of vision questionnaire was significantly increased from 54.87 preoperatively to 80.92 after implantation(P

Objective The research is specially carried out aiming to meet the operational requirements for interoperability between city railway CBTC (communication-based train control) and railway CTCS-2 (China train control system level 2) signaling systems. Method Based on the existing architectures of CBTC and CTCS-2 signaling systems, a fusion plan for these two is proposed. Two fusion plans are compared in terms of cost investment, impact scope, renovation difficulty, and applicable range. Ultimately, the fusion plan with on-board equipment that accommodates ground equipment of both signaling systems is chosen. The ground equipment design follows the principle of ′minimizing changes to CTCS equipment while adding or modifying CBTC equipment′, and the on-board equipment design follows the principle of ′keeping ATP (automatic train protection) core equipment independent while maximizing the reuse of peripheral components′. Under the premises of ensuring system operational efficiency and compliance with CTCS-2 standards, two conversion plans are proposed, ′train conversion from CTCS-2 line to CBTC line′ and ′train conversion from CBTC line to CTCS-2 line′, aiming to achieve bidirectional interoperability between city railway CBTC and CTCS-2 systems. Result & Conclusion The research results indicate that the implementation of the chosen plan can enhance city railway transportation efficiency, optimize transportation organization and management, improve the network functionality of rail transit, and promote coordinated development between central cities and surrounding areas.

In this study, a novel composite aerogel of Nicandra physaloides(L.) Gaertn seed, gum/graphene oxide (NPG/GO), was prepared by using a vacuum freeze drying method for methylene blue (MB) adsorption. The techniques, including Brunauer–Emmett–Teller (BET), scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR), were adopted for studying the structure and surface characteristics of NPG/GO, with thermogravimetric analysis (TGA) being adopted for testing thermal properties. The effects of pH value, initial dye concentration, temperature and adsorbent dosage on adsorption performance were elaborately analysed. The adsorption kinetic studies showed that the process of adsorption follows Langmuir isotherm and a pseudo-second-order kinetic model. When the mass ratio of NPG to GO was 1.25:1, the adsorption capacity was the highest. According to Langmuir isotherm, the maximum adsorption capacity of 408.16 mg/g was higher than that of NPG. The specific surface area and average pore diameter of NPG/GO was measured as 2.70 m2/g and 4.8 nm, respectively. Thermodynamic analysis revealed that the adsorption process of methylene blue on NPG/GO was a spontaneous and endothermic process. In general, the prepared nanocomposites were excellent candidates for adsorption and removal process because of simple synthesis, low cost, high efficiency, non-toxicity, environment protection and degradability. [ABSTRACT FROM AUTHOR]

With the rapid development of science and technology, biomedicine has entered a new era of big data. Massive biomedical data has speeded up the rise of medical informatics, systems biology, computational biology and the interdisciplinary disciplines, which brought unprecedented opportunities for traditional Chinese medicine. The resources of Chinese medicine are abundant, and a large amount of data has been accumulated in various aspects such as Chinese medicine resources and clinical applications. The application of informatics technology in the field of Chinese medicine expands continuously. This paper specifically reviews commonly used traditional Chinese medicine databases and describes research progresses of Chinese medicine informatics. Furthermore, the opportunities and prospects of traditional Chinese medicine are discussed.

In early loading stage of composite laminates, longitudinal splitting in terms of matrix cracking usually initiates from notch tips and propagates in fiber directions. The extremely high stress concentrations at the notch tips could be drastically alleviated by the splitting. An efficient finite element model is created in this article to perform progressive failure analyses on notched composite laminates. To capture the true stress concentrations at notch tips, surface-based cohesive contacts instead of cohesive elements were introduced to model the splitting. The advantage of the surfaced-based cohesive contact over the traditional cohesive element is that it allows different mesh configurations for different plies. Predicted failure patterns and tensile strengths by the finite element model were compared with tested results from open literature. [ABSTRACT FROM AUTHOR]

This article presents a detailed analysis on stress concentration in notched unidirectional fiber-reinforced composites. Due to the formation of longitudinal splitting at notch tips along the fiber direction, the extremely high stress concentrations ahead of the notch tips could be drastically reduced for composites under remote tension. The inability of the widely used material property degradation method to accurately redistribute the local stresses at the notch tips is examined. The notch blunting effect is investigated by modeling the longitudinal splitting as a thin plastic cohesive layer or debonding, and results for the stress redistribution in the unnotched section directly ahead of the notch tips are presented. By introducing the intra- and inter-ply damage modes, the failure of a double-notched cross-ply laminate is predicted and compared with the experimental results from open literature. [ABSTRACT FROM AUTHOR]

In this article, citric acid modified β‐cyclodextrin/activated carbon hybrid (CA‐β‐CD/AC) composites were synthesized by crosslinking reaction, and their adsorption properties for methylene blue were studied. The scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy, and Brunauer–Emmett–Teller (BET) method were used to characterize the structure and the morphology of composite materials. It was investigated that the effect of experiment parameters on the adsorption performance including weight fraction of AC in the composite, the adsorbent dose, the initial concentration of MB, the solution pH value, contact time, and temperature. The maximum adsorption capacity calculated by the Langmuir isotherm is 862.07 mg g−1. Kinetic studies show that the adsorption process follows the pseudo‐first‐order and pseud‐second‐order reaction models. Thermodynamic analysis indicated that the adsorption behavior was an exothermic reaction. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019, 136, 48315. [ABSTRACT FROM AUTHOR]

Abstract Background To assess whether a compound is druglike or not as early as possible is always critical in drug discovery process. There have been many efforts made to create sets of 'rules' or 'filters' which, it is hoped, will help chemists to identify 'drug-like' molecules from 'non-drug' molecules. However, among the chemical space of the druglike molecules, the minority will be approved drugs. Classifying approved drugs from experimental drugs may be more helpful to obtain future approved drugs. Therefore, discrimination of approved drugs from experimental ones has been done in this paper by analyzing the compounds in terms of existing drugs features and machine learning methods. Results Four methodologies were compared by their performance to classify approved drugs from experimental ones. The best results were obtained by SVM, in which the accuracy is 0.7911, the sensitivity is 0.5929, and the specificity is 0.8743. Based on the results, consensus model was developed to effectively discriminate drugs, which further pushed the correct classification rate up to 0.8517, sensitivity up to 0.7242, specificity up to 0.9352. The applications on the Traditional Chinese Medicine Ingredients Database (TCM-ID) tested the methods. Therefore this model has been proven to be a potent tool for identifying drug molecules. Conclusion The studies would have potential applications in the research of combinatorial library design and virtual high throughput screening for drug discovery.

Background: Dry age-related macular degeneration (AMD) is a retinal disease, which has been the third leading cause of vision loss. But current AMD classification technologies did not focus on the classification of early stage. This study aimed to develop a deep learning architecture to improve the classification accuracy of dry AMD, through the analysis of optical coherence tomography (OCT) images., Methods: We put forward an ensemble deep learning architecture which integrated four different convolution neural networks including ResNet50, EfficientNetB4, MobileNetV3 and Xception. All networks were pre-trained and fine-tuned. Then diverse convolution neural networks were combined. To classify OCT images, the proposed architecture was trained on the dataset from Shenyang Aier Excellence Hospital. The number of original images was 4,096 from 1,310 patients. After rotation and flipping operations, the dataset consisting of 16,384 retinal OCT images could be established., Results: Evaluation and comparison obtained from three-fold cross-validation were used to show the advantage of the proposed architecture. Four metrics were applied to compare the performance of each base model. Moreover, different combination strategies were also compared to validate the merit of the proposed architecture. The results demonstrated that the proposed architecture could categorize various stages of AMD. Moreover, the proposed network could improve the classification performance of nascent geographic atrophy (nGA)., Conclusion: In this article, an ensemble deep learning was proposed to classify dry AMD progression stages. The performance of the proposed architecture produced promising classification results which showed its advantage to provide global diagnosis for early AMD screening. The classification performance demonstrated its potential for individualized treatment plans for patients with AMD., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Yang, Wu, Wang, Lu, Zhao, Ding, Tang, Lu and Ma.)