The quantitative defect detection of wire rope is crucial to guarantee safety in various application scenes, and sophisticated inspection conditions usually lead to the accurate testing of ...difficulties and challenges. Thus, a magnetic flux leakage (MFL) signal analysis and convolutional neural networks (CNNs)-based wire rope defect recognition method was proposed to solve this challenge. Typical wire rope defect inspection data obtained from one-dimensional (1D) MFL testing were first analyzed both in time and frequency domains. After the signal denoising through a new combination of Haar wavelet transform and differentiated operation and signal preprocessing by normalization, ten main features were used in the datasets, and then the principles of the proposed MFL and 1D-CNNs-based wire rope defect classifications were presented. Finally, the performance of the novel method was evaluated and compared with six machine learning methods and related algorithms, which demonstrated that the proposed method featured the highest testing accuracy (>98%) and was valid and feasible for the quantitative and accurate detection of broken wire defects. Additionally, the considerable application potential as well as the limitations of the proposed methods, and future work, were discussed.
Delta opioid receptor (DOR) agonists alleviate nociceptive behaviors in various chronic pain models, including neuropathic pain, while having minimal effect on sensory thresholds in the absence of ...injury. The mechanisms underlying nerve injury‐induced enhancement of DOR function are unclear. We used a peripheral nerve injury (PNI) model of neuropathic pain to assess changes in the function and localization of DORs in mice and rats. Intrathecal administration of DOR agonists reversed mechanical allodynia and thermal hyperalgesia. The dose‐dependent thermal antinociceptive effects of DOR agonists were shifted to the left in PNI rats. Administration of DOR agonists produced a conditioned place preference in PNI, but not in sham, animals, whereas the DOR antagonist naltrindole produced a place aversion in PNI, but not in sham, mice, suggesting the engagement of endogenous DOR activity in suppressing pain associated with the injury. GTPγS autoradiography revealed an increase in DOR function in the dorsal spinal cord, ipsilateral to PNI. Immunogold electron microscopy and in vivo fluorescent agonist assays were used to assess changes in the ultrastructural localization of DORs in the spinal dorsal horn. In shams, DORs were primarily localized within intracellular compartments. PNI significantly increased the cell surface expression of DORs within lamina IV‐V dendritic profiles. Using neonatal capsaicin treatment, we identified that DOR agonist‐induced thermal antinociception was mediated via receptors expressed on primary afferent sensory neurons but did not alter mechanical thresholds. These data reveal that the regulation of DORs following PNI and suggest the importance of endogenous activation of DORs in regulating chronic pain states.
Delta opioid receptor agonist potency and efficacy are enhanced chronic neuropathic pain states. Activation of these receptors produces negative reinforcement in pain animals, demonstrating the importance of this receptor in its ability to modulate the tonic aversive component of pain. Neuropathic pain engages enkephalin circuits that when blocked exaggerates the affective component of pain. One of the underlying mechanisms responsible for the increased activity of delta opioid receptors is trafficking of receptors to cell membranes of deep dorsal horn spinal neurons. Finally, presynaptic and postsynaptic delta opioid receptors modulate thermal and mechanical nociception, respectively.
Despite evidence from previous case studies showing that agronomic traits partially determine the resulting yield of different rice (
L.) varieties, it remains unclear whether this is true at the ...ecotype level. Here, an extensive dataset of the traits of 7686 rice varieties, released in China from 1978 to 2017, was used to study the relationship between yield and other agronomic traits. We assessed the association between yield and other agronomic traits for four different rice ecotypes, i.e., indica inbred, indica hybrid, japonica inbred, and japonica hybrid. We found that associations between agronomic traits and yield were ecotype-dependent. For both the indica inbred and indica hybrid ecotypes, we found that greater values of certain traits, including the filled grain number per panicle, 1000-grain-weight, plant height, panicle length, grains per panicle, seed setting rate, long growth period, low panicle number per unit area, and low seed length/width ratio, have accounted for high grain yield. In the japonica inbred and japonica hybrid ecotypes, we found that only high panicle number per unit area and long growth period led to high grain yield. Indirectly, growth period consistently had a positive effect on yield in all ecotypes, and plant height had a positive effect on yield for the indicas and japonica inbred only. Plant height had a negative effect for the japonica hybrid. Altogether, our findings potentially have valuable implications for improving the breeds of rice ecotypes.
The poor stability of Ru-based acidic oxygen evolution (OER) electrocatalysts has greatly hampered their application in polymer electrolyte membrane electrolyzers (PEMWEs). Traditional understanding ...of performance degradation centered on influence of bias fails in describing the stability trend, calling for deep dive into the essential origin of inactivation. Here we uncover the decisive role of reaction route (including catalytic mechanism and intermediates binding strength) on operational stability of Ru-based catalysts. Using MRuO
(M = Ce
, Sn
, Ru
, Cr
) solid solution as structure model, we find the reaction route, thereby stability, can be customized by controlling the Ru charge. The screened SnRuO
thus exhibits orders of magnitude lifespan extension. A scalable PEMWE single cell using SnRuO
anode conveys an ever-smallest degradation rate of 53 μV h
during a 1300 h operation at 1 A cm
.
Chronic kidney disease (CKD) is a global public health concern, but its disease burden and risk-attributable burden in CKD has been poorly studied in low - and middle-income countries (LMICs). This ...study aimed to estimate CKD burden and risk-attributable burden in LMICs from 1990 to 2019.
Data were collected from the Global Burden of Disease (GBD) Study 2019, which measure CKD burden using the years lived with disability (YLDs), years of life lost (YLLs), disability-adjusted life-years (DALYs) and calculate percentage contributions of risk factors to age-standardized CKD DALY using population attributable fraction (PAF) from 1990 to 2019. Trends of disease burden between 1990 and 2019 were evaluated using average annual percent change (AAPC). The 95% uncertainty interval (UI) were calculated and reported for YLDs, YLLs, DALYs and PAF.
In 2019, LICs had the highest age-standardized DALY rate at 692.25 per 100,000 people (95%UI: 605.14 to 785.67), followed by Lower MICs (684.72% (95%UI: 623.56 to 746.12)), Upper MICs (447.55% (95%UI: 405.38 to 493.01)). The age-standardized YLL rate was much higher than the YLD rate in various income regions. From 1990 to 2019, the age-standardized DALY rate showed a 13.70% reduction in LICs (AAPC = -0.5, 95%UI: - 0.6 to - 0.5, P < 0.001), 3.72% increment in Lower MICs (AAPC = 0.2, 95%UI: 0.0 to 0.3, P < 0.05). Age-standardized YLD rate was higher in females than in males, whereas age-standardized rates of YLL and DALY of CKD were all higher in males than in females in globally and LMICs. Additionally, the YLD, YLL and DALY rates of CKD increased with age, which were higher in aged≥70 years in various income regions. In 2019, high systolic blood pressure, high fasting plasma glucose, and high body-mass index remained the major causes attributable age-standardized CKD DALY. From 1990 to 2019, there were upward trends in the PAF of age-standardized DALY contributions of high fasting plasma glucose, high systolic blood pressure, and high body-mass index in Global, LICs, Lower MICs and Upper MICs. The greatest increase in the PAF was high body-mass index, especially in Lower MICs (AAPC = 2.7, 95%UI: 2.7 to 2.8, P < 0.001). The PAF of age-standardized DALY for high systolic blood pressure increased the most in Upper MICs (AAPC = 0.6, 95%UI: 0.6 to 0.7, P < 0.001).
CKD burden remains high in various income regions, especially in LICs and Lower MICs. More effective and targeted preventive policies and interventions aimed at mitigating preventable CKD burden and addressing risk factors are urgently needed, particularly in geographies with high or increasing burden.
Genome sequencing has uncovered a new mutational phenomenon in cancer and congenital disorders called chromothripsis. Chromothripsis is characterized by extensive genomic rearrangements and an ...oscillating pattern of DNA copy number levels, all curiously restricted to one or a few chromosomes. The mechanism for chromothripsis is unknown, but we previously proposed that it could occur through the physical isolation of chromosomes in aberrant nuclear structures called micronuclei. Here, using a combination of live cell imaging and single-cell genome sequencing, we demonstrate that micronucleus formation can indeed generate a spectrum of genomic rearrangements, some of which recapitulate all known features of chromothripsis. These events are restricted to the mis-segregated chromosome and occur within one cell division. We demonstrate that the mechanism for chromothripsis can involve the fragmentation and subsequent reassembly of a single chromatid from a micronucleus. Collectively, these experiments establish a new mutational process of which chromothripsis is one extreme outcome.
The nuclear envelope (NE) is composed of two lipid bilayer membranes that enclose the eukaryotic genome. In interphase, the NE is perforated by thousands of nuclear pore complexes (NPCs), which allow ...transport in and out of the nucleus. During mitosis in metazoans, the NE is broken down and then reassembled in a manner that enables proper chromosome segregation and the formation of a single nucleus in each daughter cell. Defects in coordinating NE reformation and chromosome segregation can cause aberrant nuclear architecture. This includes the formation of micronuclei, which can trigger a catastrophic mutational process commonly observed in cancers called chromothripsis. Here, we discuss the current understanding of the coordination of NE reformation with chromosome segregation during mitotic exit in metazoans. We review differing models in the field and highlight recent work suggesting that normal NE reformation and chromosome segregation are physically linked through the timing of mitotic spindle disassembly.
BackgroundChina consumes about 40% of the world's cigarettes, predominantly by men, following a large increase in recent decades. We assess sex-specific prevalence and changing patterns of smoking in ...Chinese adults in the current decade.MethodsA nationally representative survey of smoking was conducted in 2010 among 100 000 Chinese adults aged ≥18 years, using a multistage stratified cluster sampling method. Information on smoking frequency, type, amount, age started and quitting was collected. Sex-specific standardised prevalence and means were analysed and compared with estimates in the 1996 national survey.ResultsIn Chinese men aged ≥18, 62.4% were ever-smokers in 2010, including 54.0% current smokers and 8.4% ex-smokers. The smoking prevalence was higher in rural than in urban men (63.9% vs 58.4%). In younger men, the age to start smoking was earlier and exclusive cigarette use was much higher. Among current smokers, only 17.3% intended to quit. Compared with a similar survey in 1996 among adults aged 30–69, more smokers had quit in 2010 than in 1996 (11.0% vs 4.2%), but the number of cigarettes smoked per current smoker was higher (17.9 vs 15.2). In Chinese women, only 3.4% ever smoked and there has been a large intergenerational decrease in smoking uptake rates. In 2010, there were 318 million current smokers in China, consuming an estimated 1740 billion cigarettes.ConclusionsThe prevalence of smoking remained extremely high in men, but low and falling in Chinese women. Tobacco smoking remains an important public health issue in China, and stronger and more efficient tobacco control is urgently needed.
Prediction of air pollutant levels plays an important role in the regulatory plans aimed at the control and reduction of airborne pollutants such as fine particulate matter (PM). Deterministic ...photochemical air quality models, which are commonly used for regulatory management and planning, are computationally intensive and also expensive for routine predictions. Compared to deterministic photochemical air quality models, data-driven statistical models are simpler and may be more accurate. In this paper, hidden Markov models (HMM) are used to forecast daily average PM2.5 concentrations 24h ahead. In conventional HMM applications, observation distributions emitted from certain hidden states are assumed as having Gaussian distributions. However, certain key meteorological factors and most PM2.5 precursors exhibit a non-Gaussian distribution in reality, which would degrade the HMM performance significantly. In order to address this problem, in this paper, HMMs with log-normal, Gamma and generalized extreme value (GEV) distributions are developed to predict PM2.5 concentration at Concord and Sacramento monitors in Northern California. Results show that HMM with non-Gaussian emission distributions is able to predict PM2.5 exceedance days correctly and reduces false alarms dramatically. Compared to HMM with Gaussian distributions, HMM with log-normal distributions can improve the true prediction rate (TPR) by 37.5% and reduce the false alarms by 78% at Concord. And HMM with GEV distribution can improve TPR by 150% and reduce false alarms by 63.62% at Sacramento Del Paso Manor. Comparisons between different distributions used in HMM show that the closer the distribution employed in HMM is to the observation sequence, the better the model prediction performance.
► A hidden Markov model with different non-Gaussian distributions is developed to match data characteristics. ► The method is applied to the prediction of PM2.5 exceedance days in Concord, CA and Sacramento, CA. ► Results show that the HMM can predict most exceedances correctly and reduce false alarms significantly.
Abstract Visual Transformers(ViT) have made remarkable achievements in the field of medical image analysis. However, ViT-based methods have poor classification results on some small-scale medical ...image classification datasets. Meanwhile, many ViT-based models sacrifice computational cost for superior performance, which is a great challenge in practical clinical applications. In this paper, we propose an efficient medical image classification network based on an alternating mixture of CNN and Transformer tandem, which is called Eff-CTNet. Specifically, the existing ViT-based method still mainly relies on multi-head self-attention (MHSA). Among them, the attention maps of MHSA are highly similar, which leads to computational redundancy. Therefore, we propose a group cascade attention (GCA) module to split the feature maps, which are provided to different attention heads to further improves the diversity of attention and reduce the computational cost. In addition, we propose an efficient CNN (EC) module to enhance the ability of the model and extract the local detail information in medical images. Finally, we connect them and design an efficient hybrid medical image classification network, namely Eff-CTNet. Extensive experimental results show that our Eff-CTNet achieves advanced classification performance with less computational cost on three public medical image classification datasets.
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