up to now. All these resources are publicly available, and our work lays the foundation for promoting the development of deep learning methods for efficient COVID-19 CT segmentation with limited data.As a commonly used traditional Chinese medicine (TCM), Gardeniae Fructus (GF) and its processed products, GF (stir-baked) and GF Praeparatus, have important medicinal value in clinical practice. Gardenia jasminoides var. radicans (GJVR) is a variant of GF, and because of the naming GJVR is often confused in the clinic with GF, resulting in medical misprescriptions. To distinguish GF and GJVR and study the changes before and after processing, the fingerprints of GF and GJVR are presented using HPLC, followed by hierarchical cluster analysis (HCA), principal component analysis (PCA), and partial least squares-discriminant analysis (PLS-DA). GF has purging and choleretic effects, and in this study, we determined the content of main active ingredients to preliminarily assess the GF and GJVR quality from the perspective of material basis. For PCA score plot, the samples fell into six clusters, the cross-validity Q2 (cum) = 0.842 and the cumulative contribution rate R2 x (cum) = 0.988, indicating that the model has a good precision. The results were then corroborated by HCA and PLS-DA method, showing that this methodology can distinguish GF and GJVR and can be used for the comparison of raw and two processed products. According to the model established by PLS-DA, eight components were identified as the most significant variables for discrimination. The results obtained by multiple model methods are consistent and verified by each other, providing a scientific reference for further clarification of the medicinal properties of GF and GJVR.Mutations in PINK1 (PTEN-induced putative kinase 1) are associated with autosomal recessive early-onset Parkinson's disease. Full-length PINK1 (PINK1-l) has been extensively studied in mitophagy; however, the functions of the short form of PINK1 (PINK1-s) remain poorly understood. Here, we report that PINK1-s is recruited to ribosome fractions after short-term inhibition of proteasomes. The expression of PINK1-s greatly inhibits protein synthesis even without proteasomal stress. Mechanistically, PINK1-s phosphorylates the translation elongation factor eEF1A1 during proteasome inhibition. The expression of the phosphorylation mimic mutation eEF1A1S396E rescues protein synthesis defects and cell viability caused by PINK1 knockout. These findings implicate an important role for PINK1-s in protecting cells against proteasome stress through inhibiting protein synthesis.
In multileaf collimator (MLC) tracking, the MLC positions from the original treatment plan are continuously modified to account for intrafraction tumor motion. As the treatment is adapted in real time, there is additional risk of delivery errors which cannot be detected using traditional pretreatment dose verification. The purpose of this work is to develop a system for real-time geometric verification of MLC tracking treatments using an electronic portal imaging device (EPID).

MLC tracking was utilized during volumetric modulated arc therapy (VMAT). During these deliveries, treatment beam images were taken at 9.57 frames per second using an EPID and frame grabber computer. MLC positions were extracted from each image frame and used to assess delivery accuracy using three geometric measures the location, size, and shape of the radiation field. The EPID-measured field location was compared to the tumor motion measured by implanted electromagnetic markers. The size and shape of the beam were compared to theum). The mean and standard deviation of the errors in field size and shape were 0.0±0.3 cm
and 0.3±0.1 (expressed as a translation-invariant normalized RMS). No correlation was observed between geometric errors during each treatment fraction and dosimetric errors in the reconstructed dose to the target volume for this cohort of patients.

A system for real-time delivery verification has been developed for MLC tracking using time-resolved EPID imaging. The technique has been tested offline in phantom-based deliveries and clinical patient deliveries and was used to independently verify the geometric accuracy of the MLC during MLC tracking radiotherapy.
A system for real-time delivery verification has been developed for MLC tracking using time-resolved EPID imaging. The technique has been tested offline in phantom-based deliveries and clinical patient deliveries and was used to independently verify the geometric accuracy of the MLC during MLC tracking radiotherapy.In recent years, foliar inoculation has gained acceptance among the available methods to deliver plant beneficial micro-organisms to crops under field conditions. Colonization efficiency by such micro-organisms largely depends on their ability to survive when applied on the leaves. In this work, we evaluated the survival and localization of Azospirillum brasilense Az39 (Az39) in excised soybean leaves. Scanning electron microscopy and confocal laser scanning microscopy of a red fluorescent-transformed variant of Az39 were used to determine bacterial localization, while the most probable number and plate count methods were applied for bacterial quantification. Microscopic observations indicated a decrease in the number of Az39 cells on the leaf surface at 24 h after treatment, whereas midribs and cell-cell junctions of the inner leaf epidermis became highly populated zones. The presence of Az39 inside xylem vessels was corroborated at 6 h after bacterization. Az39 population did not significantly decrease throughout 24 h. We could visualize Az39 cells on the surface and in internal tissues of soybean leaves and recover them through culture methodologies. https://www.selleckchem.com/products/tp-0903.html These results evidence the survival capacity of Az39 on and inside leaves and suggest a previously unnoticed endophytic potential for this well-known plant growth-promoting rhizobacteria strain.
Simulation activities are valuable for nursing education and provide an experimental learning opportunity. However, simulation scenarios have focused on nursing education of traditional medical specialities, and limited research exists on simulation for community or public health nursing education.

This study aimed to explore the methods that are being used to increase the knowledge and skills of nursing students who work for public health nursing and the evidence about the effectiveness of simulation practices in public or community health nursing.

In this systematic review, a combination of keywords was selected from Medical Subject Headings based on which eight studies were found across Science Direct, Web of Science, EBSCO, Cochrane and PubMed databases between June 2018 and September 2018.

A total of eight studies were included in the mixed-methods systematic review (two qualitative, two mixed-methods and four quantitative studies). The students were satisfied with public health nursing simulation practices and had significant gains in the following activities active learning, collaboration, critical thinking, teamwork, evaluating family and individual together, and practical communication skills.