Identification of wounding and topping responsive small RNAs in tobacco (Nicotiana tabacum)

<p>Abstract</p> <p>Background</p> <p>MicroRNAs (miRNAs) and short interfering RNAs (siRNAs) are two major classes of small RNAs. They play important regulatory roles in plants and animals by regulating transcription, stability and/or translation of target genes in a sequence-complementary dependent manner. Over 4,000 miRNAs and several classes of siRNAs have been identified in plants, but in tobacco only computational prediction has been performed and no tobacco-specific miRNA has been experimentally identified. Wounding is believed to induce defensive response in tobacco, but the mechanism responsible for this response is yet to be uncovered.</p> <p>Results</p> <p>To get insight into the role of small RNAs in damage-induced responses, we sequenced and analysed small RNA populations in roots and leaves from wounding or topping treated tobacco plants. In addition to confirmation of expression of 27 known miRNA families, we identified 59 novel tobacco-specific miRNA members of 38 families and a large number of loci generating phased 21- or 24-nt small RNAs (including ta-siRNAs). A number of miRNAs and phased small RNAs were found to be responsive to wounding or topping treatment. Targets of small RNAs were further surveyed by degradome sequencing.</p> <p>Conclusions</p> <p>The expression changes of miRNAs and phased small RNAs responsive to wounding or topping and identification of defense related targets for these small RNAs suggest that the inducible defense response in tobacco might be controlled by pathways involving small RNAs.</p

Ultrafast and Ultralight Network-Based Intelligent System for Real-time Diagnosis of Ear diseases in Any Devices

Traditional ear disease diagnosis heavily depends on experienced specialists and specialized equipment, frequently resulting in misdiagnoses, treatment delays, and financial burdens for some patients. Utilizing deep learning models for efficient ear disease diagnosis has proven effective and affordable. However, existing research overlooked model inference speed and parameter size required for deployment. To tackle these challenges, we constructed a large-scale dataset comprising eight ear disease categories and normal ear canal samples from two hospitals. Inspired by ShuffleNetV2, we developed Best-EarNet, an ultrafast and ultralight network enabling real-time ear disease diagnosis. Best-EarNet incorporates the novel Local-Global Spatial Feature Fusion Module which can capture global and local spatial information simultaneously and guide the network to focus on crucial regions within feature maps at various levels, mitigating low accuracy issues. Moreover, our network uses multiple auxiliary classification heads for efficient parameter optimization. With 0.77M parameters, Best-EarNet achieves an average frames per second of 80 on CPU. Employing transfer learning and five-fold cross-validation with 22,581 images from Hospital-1, the model achieves an impressive 95.23% accuracy. External testing on 1,652 images from Hospital-2 validates its performance, yielding 92.14% accuracy. Compared to state-of-the-art networks, Best-EarNet establishes a new state-of-the-art (SOTA) in practical applications. Most importantly, we developed an intelligent diagnosis system called Ear Keeper, which can be deployed on common electronic devices. By manipulating a compact electronic otoscope, users can perform comprehensive scanning and diagnosis of the ear canal using real-time video. This study provides a novel paradigm for ear endoscopy and other medical endoscopic image recognition applications.Comment: This manuscript has been submitted to Neural Network

Single underwater image enhancement based on adaptive correction of channel differential and fusion

Clear underwater images are necessary in many underwater applications, while absorption, scattering, and different water conditions will lead to blurring and different color deviations. In order to overcome the limitations of the available color correction and deblurring algorithms, this paper proposed a fusion-based image enhancement method for various water areas. We proposed two novel image processing methods, namely, an adaptive channel deblurring method and a color correction method, by limiting the histogram mapping interval. Subsequently, using these two methods, we took two images from a single underwater image as inputs of the fusion framework. Finally, we obtained a satisfactory underwater image. To validate the effectiveness of the experiment, we tested our method using public datasets. The results showed that the proposed method can adaptively correct color casts and significantly enhance the details and quality of attenuated underwater images

Assessing the predictive value of smoking history for immunotherapy outcomes in bladder cancer patients

BackgroundThe therapeutic effectiveness of immune checkpoint inhibitors (ICIs) in bladder cancer varies among individuals. Identifying reliable predictors of response to these therapies is crucial for optimizing patient outcomes.MethodsThis retrospective study analyzed 348 bladder cancer patients treated with ICIs, with additional validation using data from 248 patients at our institution who underwent PD-L1 immunohistochemical staining. We examined patient smoking history, clinicopathological characteristics, and immune phenotypes. The main focus was the correlation between smoking history and immunotherapy outcomes. Multivariate logistic and Cox proportional hazard regressions were used to adjust for confounders.ResultsThe study cohort comprised 348 bladder cancer patients receiving ICIs. Among them, 116 (33.3%) were never smokers, 197 (56.6%) were former smokers (median pack-years = 28), and 35 (10.1%) were current smokers (median pack-years = 40). Analysis revealed no statistically significant difference in overall survival across different smoking statuses (objective response rates were 11.4% for current smokers, 17.2% for never smokers, and 22.3% for former smokers; P = 0.142, 0.410, and 0.281, respectively). However, a notable trend indicated a potentially better response to immunotherapy in former smokers compared to current and never smokers. In the validation cohort of 248 patients from our institution, immunohistochemical analysis showed that PD-L1 expression was significantly higher in former smokers (55%) compared to current smokers (37%) and never smokers (47%). This observation underscores the potential influence of smoking history on the tumor microenvironment and its responsiveness to ICIs.ConclusionIn conclusion, our study demonstrates the importance of incorporating smoking history in predicting the response to immunotherapy in bladder cancer patients, highlighting its role in personalized cancer treatment approaches. Further research is suggested to explore the comprehensive impact of lifestyle factors on treatment outcomes

Comparative Analysis of Several Common Screening and Assessment Scales for Childhood Autism Spectrum Disease

Given the increasing prevalence of childhood autism spectrum disease (ASD) , there is a need for scales with higher efficiencies for scientifically screening and assessing this disease. We reviewed several common screening and assessment scales for childhood ASD in terms of applicable age group, applicable methods, scoring methods, assessment criteria and basic contents, and made a comparative analysis of the merits and limitations of characteristics, applications, sensitivity and specificity of commonly used primary and secondary screening scales, as well as diagnostic scales. Then we intensively analyzed and reconstructed these scales from both perspectives of professional use and family use, attempting to explore a screening and assessment method for childhood ASD, thereby alleviating the shortage of professionals, improving the accuracy of screening and diagnosis, reducing the misdiagnosis rate and false positive rate, and providing a reliable scientific basis for the collection of early intervention data and later treatment of childhood ASD

Exceptional reversed yield strength asymmetry in a rare-earth free Mg alloy containing quasicrystal precipitates

This work reports an exceptional reversed yield strength asymmetry at room temperature for a rare-earth free magnesium alloy containing a mass of fine dispersed quasicrystal (I-phase) precipitates. Although exhibiting traditional basal texture, it owns an exceptional CYS/TYS as high as ∼1.17. Electron back-scattered diffraction (EBSD) and transmission electron microscopy (TEM) examinations indicate pyramidal and prismatic dislocations plus tensile twinning being activated after immediate yielding in compression while basal and non-basal dislocations in tension. I-phase particles transferred the concentrated stress by self-twinning to provide the driving force for tensile twin initiating in neighboring grains, thereby significantly increasing the critical resolved shear stress of tensile twinning to possibly the level of pyramidal slip, finally leading to the dominance of pyramidal slip plus tensile twinning in texture grains. This results in a higher contribution on yield strength by ∼55 MPa in compression than in tension, which reasonably agrees with the experimental yield strength difference (∼38 MPa). It can be concluded that I-phase particles influence deformation modes in tension and in compression, finally result in reversed yield strength asymmetry

A test system for infrared focal plane arrays based on LabVIEW

Most existing test system for infrared focal plane arrays are dedicated, it costly and the application value are limited. A test method for infrared focal plane arrays is introduced in this paper, and test system includes driving circuit, control module, data acquiring and processing circuit, video synthesis module and the PC software based on LabVIEW is established, which measures the key parameters such as responsivity, NETD, non-effective pixels and nonhomogeneity of the conventional polysilicon uncooled infrared focal plane arrays, generate testing report automatically at last. The simple and reliable test system adapted to many devices with different resolution and package, possess excellent universal property and practical value at very low cost

MiR-6875-3p promotes the proliferation, invasion and metastasis of hepatocellular carcinoma via BTG2/FAK/Akt pathway

Abstract Background Increasing evidence supports the association of microRNA with tumor occurrence and development. However, the expression of miR-6875-3p and its role in cell proliferation, invasion and metastasis in hepatocellular carcinoma (HCC) remains elusive. Methods The expression of miR-6875-3p and BTG2 in HCC tissues and cell lines was detected by using in situ hybridization, immunohistochemistry and qRT-PCR, respectively. A western blot assay, qRT-PCR and Luciferase reporter assay were employed to study the interaction between miR-6875-3p and BTG2. Cell proliferation invasion and metastasis were measured by MTT, transwell and matrigel analyses in vitro. In vivo, tumorigenicity and metastasis assays were performed in nude mice. Results We found that miR-6875-3p were elevated expressed in HCC tissues and cell lines, and negatively correlated with BTG2 expression, while positively correlated with tumor staging, size, degree of differentiation, and vascular invasion of HCC. Moreover, in vitro and in vivo assays showed that miR-6875-3p regulates EMT and improve the proliferation, metastasis and stem cell-like properties of HCC cells. BTG2 was identified as a direct and functional target of miR-6875-3p via the 3’-UTR of BTG2. We also confirmed that miR-6875-3p plays its biological functions via the BTG2/FAK/Akt pathway. Conclusion Our study provides evidence that high expression of miR-6875-3p can promote tumorigenesis of HCC in vitro and in vivo, so as to function as a novel oncogene in HCC. In mechanism, we found that miR-6875-3p plays its biological functions via the BTG2/FAK/Akt pathway

Preparation and properties of poly(ε-caprolactone)/bioactive glass nanofibre membranes for skin tissue engineering

Poly(ε-caprolactone) composite nanofibres for skin tissue engineering and regeneration applications were prepared via electrospinning of poly(ε-caprolactone) nanofibres with bioactive glass nanoparticles at bioactive glass contents of 0, 2, 4, 6 and 8 wt%. The surface properties, water absorptivities, porosities, mechanical properties and biocompatibilities of the composite electrospun nanofibres were characterised in detail. Addition of bioactive glass improved the hydrophilicity and elastic modulus of membranes. The fibre diameter of the neat poly(ε-caprolactone) nanofibres was only 700 nm, but reinforcement with 2, 4, 6 and 8 wt% bioactive glass nanofibres increased the diameter to 1000, 1100, 900 and 800 nm, respectively. The minimum elongation at break of the bioactive glass–reinforced poly(ε-caprolactone) exceeded 100%, which indicated that the composite nanofibres had good mechanical properties. The porosities of the various nanofibres containing different mass loadings of bioactive glass all exceeded 90%. The best performance in terms of cell proliferation and adhesion was found when the bioactive glass mass percent reached 6 wt%. However, higher loadings were unfavourable for cell growth. These preliminary results indicate that poly(ε-caprolactone)/bioactive glass composite nanofibres have promise for skin tissue engineering applications.</p