Comparison of the Effectiveness of Marked Suction Tubes vs. Plain Suction Tubes in Pediatric Mechanically Ventilated Patients

Introduction: Endotracheal suction plays a crucial role in the management of mechanically ventilated patients. This study aims to evaluate the clinical effectiveness and safety of suction tubes with markings in mechanically ventilated pediatric patients. Materials and Methods: A randomized assignment was carried out on a cohort of 52 pediatric patients who underwent mechanical ventilation in the Pediatric Intensive Care Unit at the Third Affiliated Hospital of Sun Yat-sen University, covering the period from January 2022 to December 2022. These patients were divided into two groups: an improved group (n = 26) utilizing marked suction tubes, and a regular group (n = 26) employing conventional suction tubes. The objective of our study was to evaluate the clinical effectiveness of marked suction tubes. Results: The effects of the improved group on the vital signs of children undergoing mechanical ventilation were small and statistically significant compared with the regular group (p < 0.05). Additionally, the improved group exhibited a reduced frequency of sputum suction, shorter mechanical ventilation duration, and fewer days of hospitalization in the PICU compared to the regular group during the ventilation period. Notably, the difference in the duration of PICU hospitalization was statistically significant (p < 0.05). Moreover, the incidence of adverse reactions in the improved group was notably lower, with statistically significant differences observed in airway mucous membrane damage and irritating cough when compared to the regular group (p < 0.05). Conclusion: The utilization of marked suction tubes provides clinical nurses with clear guidance for performing suctioning with ease, efficiency and safety. Consequently, advocating for the widespread implementation of marked suction tubes in clinical practice is a commendable pursuit.

Overexpression of Dlx2 enhances osteogenic differentiation of BMSCs and MC3T3-E1 cells via direct upregulation of Osteocalcin and Alp

Genetic studies have revealed a critical role of Distal-homeobox (Dlx) genes in bone formation,and our previous study showed that Dlx2 overexpressing in neural crest cells leads to profound abnormalities of the craniofacial tissues.The aim of this study was to investigate the role and the underlying molecular mechanisms of Dlx2 in osteogenic differentiation of mouse bone marrow stromal cells (BMSCs) and pre-osteoblast MC3T3-E1 cells.Initially,we observed upregulation of Dlx2 during the early osteogenesis in BMSCs and MC3T3-E1 cells.Moreover,Dlx2 overexpression enhanced alkaline phosphatase (ALP) activity and extracellular matrix mineralization in BMSCs and MC3T3-E1 cell line.In addition,micro-CT of implanted tissues in nude mice confirmed that Dlx2 overexpression in BMSCs promoted bone formation in vivo.Unexpectedly,Dlx2 overexpression had little impact on the expression level of the pivotal osteogenic transcription factors Runx2,Dlx5,Msx2,and Osterix,but led to upregulation of Alp and Osteocalcin (OCN),both of which play critical roles in promoting osteoblast maturation.Importantly,luciferase analysis showed that Dlx2 overexpression stimulated both OCN and Alp promoter activity.Through chromatin-immunoprecipitation assay and site-directed mutagenesis analysis,we provide molecular evidence that Dlx2 transactivates OCN and Alp expression by directly binding to the Dlx2-response cis-acting elements in the promoter of the two genes.Based on these findings,we demonstrate that Dlx2 overexpression enhances osteogenic differentiation in vitro and accelerates bone formation in vivo via direct upregulation of the OCN and Alp gene,suggesting that Dlx2 plays a crucial role in osteogenic differentiation and bone formation.

Comparative Study on Deformation Prediction Models of Wuqiangxi Concrete Gravity Dam Based on Monitoring Data

The deformation prediction models of Wuqiangxi concrete gravity dam are developed,including two statistical models and a deep learning model.In the statistical models,the reliable monitoring data are firstly determined with Lahitte criterion;then,the stepwise regression and partial least squares regression models for deformation prediction of concrete gravity dam are constructed in terms of the reliable monitoring data,and the factors of water pressure,temperature and time effect are considered in the models;finally,according to the monitoring data from 2006 to 2020 of five typical measuring points including J23(on dam section 24^(#)),J33(on dam section 4^(#)),J35(on dam section 8^(#)),J37(on dam section 12^(#)),and J39(on dam section 15^(#))located on the crest of Wuqiangxi concrete gravity dam,the settlement curves of the measuring points are obtained with the stepwise regression and partial least squares regression models.A deep learning model is developed based on long short-term memory(LSTM)recurrent neural network.In the LSTM model,two LSTMlayers are used,the rectified linear unit function is adopted as the activation function,the input sequence length is 20,and the random search is adopted.The monitoring data for the five typical measuring points from 2006 to 2017 are selected as the training set,and the monitoring data from 2018 to 2020 are taken as the test set.From the results of case study,we can find that(1)the good fitting results can be obtained with the two statistical models;(2)the partial least squares regression algorithm can solve the model with high correlation factors and reasonably explain the factors;(3)the prediction accuracy of the LSTM model increases with increasing the amount of training data.In the deformation prediction of concrete gravity dam,the LSTM model is suggested when there are sufficient training data,while the partial least squares regression method is suggested when the training data are insufficient.

Preparation and Electrorheological Response of PAL/TiO_(2)/PANI Nanorods

Using palygorskite(PAL)as template,the PAL/TiO_(2)/PANI nano-rods were synthesized by heterogeneous precipitation and in-situ polymerization.The synthesized PAL/TiO_(2)/PANI nanorods were used as a novel electrorheological(ER)fluid by mixing with silicone oil,which showed excellent ER effect.The yield stress of the PAL/TiO_(2)/PANI based ER fluid(15 vol%)reached 8.8 kPa under 4 kV mm^(−1) electric field.The dynamic shear stress of the PAL/TiO_(2)/PANI based ER fluid could maintain a stable level in the shear rate range of 0.1–100 s^(−1).Furthermore,the PAL/TiO_(2)/PANI ER fluid exhibited excellent suspension stability.

PCR Detection and Sequence Analysis of Torque Teno Sus Virus Strains from Guangdong Province

[Objective] Torque teno virus （TIT） is a novel virus with negative single-strand DNA discovered in recent years, which is ubiquitous and nonpatho- genie. Torque teno sus virus （TrsuV） is widely prevalent in swine populations, which is considered to be associated with some diseases such as post-weaning multi- systemic wasting syndrome （PMWS）. This study aimed to provided data for epidemiology of Tl＇suV in Guangdong Province. [Method] PCR primers were synthe- sized based on untranslated region （UTR） segment of TYsuV genome, to conduct PCR detection of 14 swine serum samples from two swine farms in Guangdong Province. A total of four PCR products of TrsuV1 and TrsuV2 from two swine farms were selected for cloning, sequencing and analysis. [ Result] Ten TrsuVl pos- itive samples （71% ） and eight TrsuV2 positive samples （57%） were obtained by PCR, including five double-positive samples （36%）. Sequence analysis of PCR products and reference strains showed that the UTR segments of samples GDTI-1 and GDT1-2 were both 305 bp, sharing 90.2% -95.1% similarity with Tl＇suVl reference strain, and the UTR segments of samples GDT2-1 and GDT2-2 were respectively 259 bp and 248 bp, sharing 67.3% - 100% similarity with TrsuV2 refer- ence strain. [ Conclusion] These results conformed that there are at least two types of Tl＇suV in Guangdong Province, with relatively high detection rates in some swine farms. Despite the putative harmlessness of Tl＇suV, the public health significance of TTsuV is noticeable due to its potential pathogenicity.

基于3D连续壳理论和无网格法的任意壳受迫振动分析

板壳结构是航空航天和建筑水利等工程领域中最常见的基本构件,研究板壳受迫振动问题对工程应用具有重要意义.本文基于3D连续壳理论和移动最小二乘近似建立了任意壳的无网格模型,其中移动最小二乘近似不仅用于几何曲面插值,还用于位移场近似.利用Hamilton原理导出描述任意壳受迫振动的无网格控制方程,并采用时域隐式Newmark方法求解该方程,采用完全转换法来施加本质边界条件.最后,通过MATLAB编制无网格程序计算了几个具有代表性的壳体算例,并将计算结果和ABAQUS有限元解进行比对,验证了本文方法求解任意壳受迫振动的有效性及准确性.结果表明,无网格法不依赖网格划分,适应性较强,所提方法可以有效地求解各种不同形状的板壳结构受迫振动问题,具有广阔的应用前景.

Single-cell RNA-Seq reveals transcriptional regulatory networks directing the development of mouse maxillary prominence

During vertebrate embryonic development,neural crest-derived ectomesenchyme within the maxillary prominences undergoes precisely coordinated proliferation and differentiation to give rise to diverse craniofacial structures,such as tooth and palate.However,the transcriptional regulatory networks underpinning such an intricate process have not been fully elucidated.Here,we perform single-cell RNA-Seq to comprehensively characterize the transcriptional dynamics during mouse maxillary development from embryonic day(E)10.5eE14.5.Our single-cell transcriptome atlas of~28,000 cells uncovers mesenchymal cell populations representing distinct differentiating states and reveals their developmental trajectory,suggesting that the segregation of dental from the palatal mesenchyme occurs at E11.5.Moreover,we identify a series of key transcription factors(TFs)associated with mesenchymal fate transitions and deduce the gene regulatory networks directed by these TFs.Collectively,our study provides important resources and insights for achieving a systems-level understanding of craniofacial morphogenesis and abnormality.

CA-YOLOv5: Detection model for healthy and diseased silkworms in mixed conditions based on improved YOLOv5

The accurate identification and localization of diseased silkworms is an important task in the research of disease precision control technology and equipment development in the sericulture industry. However, the existing deep learning-based methods for this task are mainly based on image classification, which fails to provide the location information of diseased silkworms. To this end, this study proposed an object detection-based method for identifying and locating healthy and diseased silkworms. Images of mixed healthy and diseased silkworms were collected using a mobile phone, and the category and location of each silkworm were labeled using LabelImg as a labeling tool to construct an image dataset for object detection. Based on the one-step detection model YOLOv5s, the ConvNeXt-Attention-YOLOv5 (CA-YOLOv5) model was designed in which the large kernel with depth-wise separable convolution (7×7 dw-conv) of ConvNeXt was adopted to expand receptive fields and the channel attention mechanism ECANet was added to enhance the capability of feature extraction. Experiments showed that the mean average precision (mAP) values of CA-YOLOv5 for healthy and diseased silkworms reached 96.46%, which is 1.35% better than that achieved via YOLOv5s. At the same time, the overall performance of CA-YOLOv5 was significantly better than state-of-the-art one-step models, such as Single Shot MultiBox Detector (SSD), CenterNet, and EfficientDet, and even improved YOLOv5 using image attention mechanism and a lightweight backbone, like SENet-YOLOv5 and MobileNet-YOLOv5. The results of this study can provide an important basis for the accurate positioning of diseased silkworms in precision disease control technology and equipment development.

Review of Bipolar Plate in Redox Flow Batteries:Materials,Structures,and Manufacturing

Interest in large-scale energy storage technologies has risen in recent decades with the rapid development of renewable energy.The redox flow battery satisfies the energy storage demands well owing to its advantages of scalability,flexibility,high round-trip efficiency,and long durability.As a critical component of the redox flow battery,the bipolar plates provide mechanical support for the electrodes and act as a physical separator between adjacent cells,as well as constructing the internal circuit and guiding the electrolyte flow.The present work offers a comprehensive review of the development of bipolar plates in redox flow batteries,covering materials,structures,and manufacturing methods.In terms of materials,the effects of material types and composition on the compactness,mechanical strength,and electrical conductivity are summarized in detail.Furthermore,the corrosion mechanisms of bipolar plates and the corresponding detection and mitigation methods are discussed.In addition,the structures of the bipolar plates refer to the flow field designs on the surface.The advantages and disadvantages of these existing flow fields are described,and the tendencies for further optimization are also discussed.The manufacturing of composite bipolar plates in terms of material cost and preparation methods is also outlined.Based on the summary of previous research,this work provides suggestions for the future development of high-performance bipolar plates.

Using image processing technology to create a novel fry counting algorithm

Quantitative counting of fry is required for multiple reasons,including breeding,transportation,and sales and creating a fish-counting algorithm using image processing technology is proposed as a useful method.The images for fish fry were preprocessed to extract the details of the target fish,using methods including binarization,dilation,and erosion.The thinning and the connected area algorithms were then independently adopted to count the fish fry within the image.The advantages and the disadvantages of the two algorithms under different densities were also compared,revealing that the fish fry pictures with a clear contrast between the foreground and background resulted in a higher accuracy.The main purpose of this research is to solve the problem of fry counting in the case of high density and high overlap.This research provides a reference point for this method based on image technology.