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101.
Pengcheng Nie Fangfang Qu Lei Lin Yong He Xuping Feng Liang Yang Huaqi Gao Lihua Zhao Lingxia Huang 《International journal of molecular sciences》2021,22(7)
Molecular spectroscopy has been widely used to identify pesticides. The main limitation of this approach is the difficulty of identifying pesticides with similar molecular structures. When these pesticide residues are in trace and mixed states in plants, it poses great challenges for practical identification. This study proposed a state-of-the-art method for the rapid identification of trace (10 mg·L−1) and multiple similar benzimidazole pesticide residues on the surface of Toona sinensis leaves, mainly including benzoyl (BNL), carbendazim (BCM), thiabendazole (TBZ), and their mixtures. The new method combines high-throughput terahertz (THz) imaging technology with a deep learning framework. To further improve the model reliability beyond the THz fingerprint peaks (BNL: 0.70, 1.07, 2.20 THz; BCM: 1.16, 1.35, 2.32 THz; TBZ: 0.92, 1.24, 1.66, 1.95, 2.58 THz), we extracted the absorption spectra in frequencies of 0.2–2.2 THz from images as the input to the deep convolution neural network (DCNN). Compared with fuzzy Sammon clustering and four back-propagation neural network (BPNN) models (TrainCGB, TrainCGF, TrainCGP, and TrainRP), DCNN achieved the highest prediction accuracies of 100%, 94.51%, 96.26%, 94.64%, 98.81%, 94.90%, 96.17%, and 96.99% for the control check group, BNL, BCM, TBZ, BNL + BCM, BNL + TBZ, BCM + TBZ, and BNL + BCM + TBZ, respectively. Taking advantage of THz imaging and DCNN, the image visualization of pesticide distribution and residue types on leaves was realized simultaneously. The results demonstrated that THz imaging and deep learning can be potentially adopted for rapid-sensing detection of trace multi-residues on leaf surfaces, which is of great significance for agriculture and food safety. 相似文献
102.
Yichuan Liu Hui-Qi Qu Xiao Chang Lifeng Tian Jingchun Qu Joseph Glessner Patrick M. A. Sleiman Hakon Hakonarson 《International journal of molecular sciences》2021,22(7)
RNA-seq has been a powerful method to detect the differentially expressed genes/long non-coding RNAs (lncRNAs) in schizophrenia (SCZ) patients; however, due to overfitting problems differentially expressed targets (DETs) cannot be used properly as biomarkers. This study used machine learning to reduce gene/non-coding RNA features. Dorsolateral prefrontal cortex (dlpfc) RNA-seq data from 254 individuals was obtained from the CommonMind consortium. The average predictive accuracy for SCZ patients was 67% based on coding genes, and 96% based on long non-coding RNAs (lncRNAs). Machine learning is a powerful algorithm to reduce functional biomarkers in SCZ patients. The lncRNAs capture the characteristics of SCZ tissue more accurately than mRNA as the former regulate every level of gene expression, not limited to mRNA levels. 相似文献
103.
Xin Fusheng Ding Wangwang Tao Qiying Tian Hanqing Chen Gang Qin Mingli Qu Xuanhui 《Metallurgical and Materials Transactions A》2022,53(4):1164-1175
Metallurgical and Materials Transactions A - In this work, we used hydride-dehydride Ti (HDH-Ti) powders (with the oxygen levels of 0.17 and 0.51 wt pct, respectively) combined with microstructural... 相似文献
104.
以元素混合粉为原料,研究了耐热不锈钢的注射成形工艺.重点讨论了烧结温度、时间及气氛对耐热不锈钢致密度、力学性能及微观组织的影响,获得的最佳工艺为烧结温度1375℃,时间60 min,真空气氛.在此条件下制备了致密度98.12%、抗拉强度510 MPa、铁素体组织的PIM耐热不锈钢. 相似文献
105.
Islam S. Humail F. Akhtar S.J. Askari M. Tufail Xuanhui Qu 《International Journal of Refractory Metals and Hard Materials》2007,25(5-6):380-385
Tungsten heavy alloys (WHAs) are metal–metal composites consisting of nearly pure spherical tungsten particles embedded in a Ni–Fe–W or Ni–Co–W or Ni–Cu–W ductile matrix. In this dual phase alloy, there are several complicated relations between the ductile matrix and hard tungsten particles. The aim of this research was to examine the effect of varying tungsten content on the microstructure and mechanical properties of tungsten heavy alloys. The microstructural parameters (grain size, connectivity, contiguity and solid volume fraction) were measured and were found to have a significant effect on the mechanical properties of tungsten-based heavy alloys. The result shows that the binding strength between the W and the matrix phase has a major influence on the ductility of tungsten-based alloys. The larger this binding force is, the better the ductility is. 相似文献
106.
107.
108.
注射坯成形质量与尺寸精度的控制模型 总被引:2,自引:0,他引:2
注射坯的尺寸精度反映注射坯质量的好坏,并对控制其后脱脂和烧结过程缺陷和最终产品尺寸精度起着很关键的作用。文章基于烧结收缩各向同性的前提下,提出了通过注射坯质量偏差控制注射坯尺寸精度和注射坯质量的数学模型,并在实验中验证了这一模型的正确性。 相似文献
109.
XK5159H钢连铸连轧棒材用于制造矿山磨光球,对于钢的纯净度、低倍组织、探伤结果及DI值等均有严格的要求,很难控制。我们通过制定内控化学成分及合理的工艺路线,使生产试制一次成功。 相似文献
110.
研究金属粉末注射成形铁基合金在强还原性氢气氛烧结条件下的合金化强化效果,结果表明,添加Cu、Ni、Mo等元素能取得显著的固溶强化效果,其中成分为Fe-2Ni-2Cu-0.45Mo的机械性能达到σb=483MPa,σs=340MPa,δ=9%和HRB83。 相似文献