Construction of cardiovascular information extraction corpus based on electronic medical records

Cardiovascular disease has a significant impact on both society and patients, making it necessary to conduct knowledge-based research such as research that utilizes knowledge graphs and automated question answering. However, the existing research on corpus construction for cardiovascular disease is relatively limited, which has hindered further knowledge-based research on this disease. Electronic medical records contain patient data that span the entire diagnosis and treatment process and include a large amount of reliable medical information. Therefore, we collected electronic medical record data related to cardiovascular disease, combined the data with relevant work experience and developed a standard for labeling cardiovascular electronic medical record entities and entity relations. By building a sentence-level labeling result dictionary through the use of a rule-based semi-automatic method, a cardiovascular electronic medical record entity and entity relationship labeling corpus (CVDEMRC) was constructed. The CVDEMRC contains 7691 entities and 11,185 entity relation triples, and the results of consistency examination were 93.51% and 84.02% for entities and entity-relationship annotations, respectively, demonstrating good consistency results. The CVDEMRC constructed in this study is expected to provide a database for information extraction research related to cardiovascular diseases

Non-GDANets: Sports small object detection of thermal images with Non-Glodal decoupled Attention.

Because thermal infrared sport targets have rich and complex semantic information, there is a high coupling between different types of features. In view of these limitations, we propose a Non-Glodal decoupled Attention, namely,local U-shaped attention decoupling network (LUANets), which aims to decompose the coupling relationship of different sport target features in thermal infrared images and establish effective spatial dependence between them. This method takes the captured multi-scale initial features according to different levels and inputs them into the local decoupling module with U-shaped attention structure to realize the decomposition of semantic details. At the same time, considering the correlation between different targets, in the process of feature decomposition, using prior knowledge as guiding information many times to establish effective spatial dependence. Secondly, we design a two-way cross-aggregation FPN module to cross-aggregate information flows in the front and back directions to achieve feature interaction while further reducing the coupling between different types of features. The evaluation results on data such as TIIs,SportFCs and FLIR show that the LUANets method we proposed has achieved the best detection performance, with mAP of 68.72%,59.51% and 65.29%, respectively

HN1 contributes to migration, invasion, and tumorigenesis of breast cancer by enhancing MYC activity

Abstract Background Hematological and neurological expressed 1 (HN1) is upregulated in many tumors, but the role of HN1 in breast cancer progression and its regulatory mechanism have not been well understood. Methods To study the role of HN1 in the initiation and progression of breast cancer, we examined HN1 levels in breast cancer cells and tissues and analyzed the relationship between HN1 levels and patient survival. We used mammosphere formation assay, side population analysis, wound healing assay, transwell assay, soft agar formation assay, and xenografted tumor model to determine the effect of HN1 on the expansion of breast cancer stem cells, and the migration, invasion and tumorigenesis of breast cancer. To determine whether HN1 regulates MYC, we used quantitative real-time PCR and Western blot analysis to assess the expression of MYC and their targeted genes to determine the phenotype caused by knockdown of MYC in breast cancer cell with HN1 overexpression. Results In this study, we found that HN1 was upregulated in breast cancer tissues. Patients with high levels of HN1 expression had significantly shorter survival than those with low HN1 expression. In breast cancer cell line, ectopic overexpression of HN1 not only promoted the expansion of breast cancer stem cells, but also promoted cell migration, invasion, and tumorigenesis, while knockdown of HN1 reduced these effects. Furthermore, there was a positive correlation between MYC (also known as c-MYC) level and HN1 level, mechanism analysis suggested HN1 promoted the expression of MYC and its targeted genes like CDK4, CCND1, p21, CAV1, and SFRP1. Downregulation of MYC abrogated the effect of HN1 overexpression in breast cancer cell lines. Conclusion Taken together, these data reveal that HN1 promotes the progression of breast cancer by upregulating MYC expression, and might be a therapeutic target for breast cancer

Enhanced Performance of Nanotextured Silicon Solar Cells with Excellent Light-Trapping Properties

Light-trapping nanostructures have been widely used for improving solar cells’ performance, but the higher surface recombination and poor electrode contact introduced need to be addressed. In this work, silicon nanostructures were synthesized via silver-catalyzed etching to texturize solar cells. Atomic-layer-deposited Al2O3 passivated the nanotextured cells. A surface recombination velocity of 126 cm/s was obtained, much lower than the 228 cm/s of the SiNX-passivated one. Additionally, the open-circuit voltage (VOC) of the nanotextured cells improved significantly from 582 to 610 mV, as did the short-circuit current (JSC) from 25.5 to 31 mA/cm2. Furthermore, the electrode contact property was enhanced by light-induced plating. A best efficiency of 13.3% for nano-textured cells was obtained, which is higher than the planar cell’s 12%

Praktické využití statistických metod v ODS - Dopravní stavby Ostrava, a.s.

Import 20/04/2006Prezenční výpůjčkaVŠB - Technická univerzita Ostrava. Fakulta metalurgie a materiálového inženýství. Katedra (639) kontroly a řízení jakost

Evaluation Report on the Proficiency Testing of SNP Detection in Laboratory Mice Nucleic Acid Samples

ObjectiveTo test the single nucleotide polymorphism (SNP) detection technology level of mice genetic quality control in laboratories, promote the application of nucleic acid samples and SNP detection technology by implementing a nationwide proficiency testing program.MethodsIn 2022, National Institutes for Food and Drug Control implemented domestic laboratory proficiency testing named“NIFDC-PT-365 Laboratory Proficiency Testing Program of SNP Marker Detection Ablity in Laboratory Mice DNA Samples”. According to the requirements of the program, each participating laboratory received 2 blind samples of DNA from BALB/c mice and C57BL/6 mice with random numbers, standard operation procedure and 2 pairs of primers for rs3023177 and rs3023382 SNP loci. The participants should submit the results and original records before the deadline. If the mutation site amplification and sequencing results were consistent with the preseted results, it was considered as satisfactory; otherwise, it was considered as unsatisfactory. Meanwhile, PCR amplification system, sequencing direction and alignment methods of participating laboratories were compared to analyze as the relevant factors which may affect the SNP detection results of nucleic acid standard samples.ResultsThe results of 10 participating laboratories were consistent with the preset. They all obtained satisfactory results. Differences in amplification volume (20 μL, 25 μL, 30 μL), Taq enzyme system (single component and PCR MIX), sequencing company, sequencing direction and alignment software had no influence on the accuracy of the results.ConclusionThe participating laboratories have high detection ability in SNP detection method of mice nucleic acid samples. SNP detection technology is simple and feasible in mouse genetic quality control and is worth popularizing

High-Performance Temperature Sensor by Employing Screen Printing Technology

In the present study, a high-performance n-type temperature sensor was developed by a new and facile synthesis approach, which could apply to ambient temperature applications. As impacted by the low sintering temperature of flexible polyimide substrates, a screen printing technology-based method to prepare thermoelectric materials and a low-temperature heat treatment process applying to polymer substrates were proposed and achieved. By regulating the preparation parameters of the high-performance n-type indium oxide material, the optimal proportioning method and the post-treatment process method were developed. The sensors based on thermoelectric effects exhibited a sensitivity of 162.5 μV/°C, as well as a wide range of temperature measurement from ambient temperature to 223.6 °C. Furthermore, it is expected to conduct temperature monitoring in different scenarios through a sensor prepared in masks and mechanical hands, laying a foundation for the large-scale manufacturing and widespread application of flexible electronic skin and devices

A Retrospective Study on Proficiency Testing Samples in the Field of Laboratory Animal Testing from 2013 to 2022

Objective To analyze the status of proficiency testing samples in the field of laboratory animal testing, and to evaluate the role of the testing samples in the laboratory animal laboratory proficiency testing program.MethodsA retrospective study was conducted to compare the 30 proficiency testing plans and reports in the field of laboratory animal organized by National Institute for Food and Drug Control (NIFDC) from 2013 to 2022. The type, quantity, preparation method, homogeneity and stability of the proficiency testing samples, as well as the satisfaction of the participating units to the samples were analyzed. Then, the supply of new samples, the addition of quantitative projects, the improvement of stability research and the attention to customer needs were discussed.ResultsThe 30 proficiency testing programs included 10 items in the direction of bacteria, 10 items in the direction of virus and 10 items in the direction of genetics in the field of experimental animals. A total of 80 non-nucleic acid samples (including serums, feces, tracheal flushing fluid and proteins) and 4 nucleic acid samples were provided, all of which were qualitative samples. Compared with nucleic acid samples, non-nucleic acid samples always required large numbers of animals for sample preparation. The pass rate of homogeneity verification of the sample was 100%, but there is no quantitative study at present. Stability verification can be conducted for the short-term storage, transportation, freeze-thaw, different concentrations and terminal stability of different samples, but it lacks long-term stability verification.ConclusionIn the past ten years, the proficiency testing samples have basically met the basic requirements of the proficiency testing plan of laboratory animal testing area. However, the provision of nucleic acid samples should be reasonably increased; quantitative research samples and projects should be added; the influence of proficiency testing in the field of laboratory animal testing should be continuously expanded and maintain high-quality services