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Xiao‐Juan Li,Guang-Ping DONG,Jian-Min FANG,Hong-Jian LIU,Wan-Lin GUO 한국곤충학회 2017 Entomological Research Vol.47 No.3
Monochamus alternatus is a destructive stem‐boring herbivore of Pinus massoniana, and the principal vector of pine wood nematode. To investigate the impacts of boring by M. alternatus larvae on the emission of volatile organic compounds (VOCs) from their host trees, the VOCs from uninfested and M. alternatus larvae infested P. massoniana trees were observed using a gas chromatograph–mass spectrometer. We detected 12, 9, 18 and 14 volatile organic compounds from infested xylem, infested phloem, uninfested xylem and uninfested phloem, respectively. In P. massoniana xylem, the boring of M. alternatus larvae induced cyclosativene, and inhibited 4‐carene, humulene, styrene, α‐phellandrene, β‐myrcene, β‐phellandrene and γ‐terpinene. The relative amounts of camphene, copacamphene, longicyclene, longifolene, tricyclene and α‐longipinene were significantly increased, and the relative amounts of α‐pinene and β‐pinene were significantly decreased by the boring behaviors of M. alternatus larvae. In P. massoniana phloem, the boring of M. alternatus larvae induced 2‐bornanone, copacamphene, longicyclene and α‐longipinene, and inhibited 2‐carene, 4‐carene, styrene, α‐phellandrene, β‐myrcene, β‐phellandrene, β‐pinene, γ‐terpinene and ο‐cymene. The relative amounts of camphene, caryophyllene and longifolene were significantly increased by the boring behaviors of M. alternatus larvae. The results indicate that the boring behaviors of M. alternatus larvae changed both the sorts and contents of the VOCs from P. massoniana trees.
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Xiao‑Yu Zhao,Xian‑Ming Zhao,Chun‑Yu Dong,Yang Yang,Huai‑Bin Han 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.6
The variation of the morphology and distribution of cementite particles in different prior structures with spheroidizingannealing process has been proceeded in this paper. It is found that the dissolution and coarsening progresses of variousinitial structures in spheroidizing annealing process are quite asynchronous due to the different interlamellar spacing. Thedissolution rate of degenerated pearlite (D-P) with finer interlamellar spacing is faster. The granular cementite in the spheroidizedmicrostructure is fine, uniform and dense. The mean diameter of spherical cementite is refined to 233 nm. However,the initial structure of degenerated pearlite (D-P) is highly sensitive to the austenitization temperature. The cementite iseasy to be coarsened under high austenitizing temperature. The coarsening is accompanied by the gradual increase of theCr content in the cementite, which increases the stability of the cementite. Therefore, the optimal austenitizing temperaturefor degenerated pearlite (D-P) is suggested to be 770 °C.
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Xiao‐Juan Li,Guang-Ping DONG,Jian-Min FANG,Hong-Jian LIU,Wan-Lin GUO 한국곤충학회 2018 Entomological Research Vol.48 No.4
The pine sawyer Monochamus alternatus Hope (Coleoptera: Cerambycidae) is a serious pest of several Pinus species, and the ectoparasitoid larvae of Dastarcus helophoroides (Fairmaire) (Coleoptera: Bothrideridae) is an important natural enemy of this pest. The transcriptome of M. alternatus larvae was sequenced using the Illumina platform and immunity‐related genes were specifically analyzed. De novo assembly resulted in the identification of 24 241 unigenes, with a mean length of 1122 bp, in unparasitized M. alternatus larvae and 23 807 unigenes, with a mean length of 1140 bp, for parasitized larvae. Removal of redundant unigenes resulted in 26 095 all‐unigenes, of which 16 959 (64.99%) showed clear homology with some of the known genes in the National Center for Biotechnology Information nr database. Parasitization had notable effects on the transcriptome profile of M. alternatus larvae. In all, 2702 genes were differentially expressed in M. alternatus larvae after parasitization, with 1491 (55.18%) upregulated and 1211 (44.82%) downregulated. Moreover, expression levels of immunity‐related genes in M. alternatus larvae were markedly altered in response to parasitization by D. helophoroides. In conclusion, the transcriptome profiling data, especially the discovered of immunity‐related genes, help illustrate the molecular mechanisms of parasitism between D. helophoroides and M. alternatus and provide new insights into developing immunity regulation‐mediated control methods of M. alternatus.
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Xiao‑Bo Mei,Bao‑Chuan Liu,Wei Jiang,Quan Xu,Qi‑Dong Zhang,Yu‑Bai Ma,Fang‑Qiu Zu 대한금속·재료학회 2020 METALS AND MATERIALS International Vol.26 No.9
The influence of cooling rates on the mechanical properties of a Zr-based bulk metallic glass prepared with high rheologicalrate forming (HRRF) was investigated and compared with traditional suction cast methods. Amorphous samples of Zr57Cu-20Ni8Al10Ag5 were prepared in copper molds with different sizes in order to obtain different cooling rates for both HRRFand traditional cast methods. These specimens were subjected to compression experiments, including microhardness testing,X-ray diffraction testing and differential scanning calorimetry analysis. The results indicate that the plasticity of the samplesformed by HRRF are higher than that of the as-cast ones at the same cooling rates, while the microhardness manifests theopposite principle. As the cooling rate increases further, the difference in plasticity further increases between two methods,indicating that the plasticity of metallic glasses is more sensitive to cooling rates during the HRRF process. At the core ofthis phenomenon is the fact that HRRF methods can introduce more free volume into glasses than traditional cast methodswith an elevated cooling rate are able to.
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Default Prediction for Real Estate Companies with Imbalanced Dataset
Dong, Yuan-Xiang,Xiao, Zhi,Xiao, Xue Korea Information Processing Society 2014 Journal of information processing systems Vol.10 No.2
When analyzing default predictions in real estate companies, the number of non-defaulted cases always greatly exceeds the defaulted ones, which creates the two-class imbalance problem. This lowers the ability of prediction models to distinguish the default sample. In order to avoid this sample selection bias and to improve the prediction model, this paper applies a minority sample generation approach to create new minority samples. The logistic regression, support vector machine (SVM) classification, and neural network (NN) classification use an imbalanced dataset. They were used as benchmarks with a single prediction model that used a balanced dataset corrected by the minority samples generation approach. Instead of using prediction-oriented tests and the overall accuracy, the true positive rate (TPR), the true negative rate (TNR), G-mean, and F-score are used to measure the performance of default prediction models for imbalanced dataset. In this paper, we describe an empirical experiment that used a sampling of 14 default and 315 non-default listed real estate companies in China and report that most results using single prediction models with a balanced dataset generated better results than an imbalanced dataset.
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Xiao-Ling Zhong,Yi Dong,Wei Xu,Yu-Yuan Huang,Hui-Fu Wang,Tian-Song Zhang,Li Sun,Lan Tan,Qiang Dong,Jin-Tai Yu 대한뇌졸중학회 2021 Journal of stroke Vol.23 No.1
Background and Purpose: The present study aimed to compare the efficacy and tolerability of different blood pressure (BP)-lowering strategies. Methods: Randomized controlled trials that compared various antihypertensive treatments and stroke outcomes were included. Eligible trials were categorized into three scenarios: single or combination antihypertensive agents against placebos; single or combination agents against other agents; and different BP-lowering targets. The primary efficacy outcome was the risk reduction pertaining to strokes. The tolerability outcome was the withdrawal of drugs, owing to drug-related side effects (PROSPERO registration number CRD42018118454 [20/12/2018]). Results: The present study included 93 trials (average follow-up duration, 3.3 years). In the pairwise analysis, angiotensin-converting enzyme inhibitors (ACEis) and beta-blockers (BBs) were inferior to calcium channel blockers (CCBs) (odds ratio [OR], 1.123; 95% confidence interval [CI], 1.008 to 1.252) (OR, 1.261; 95% CI, 1.116 to 1.425) for stroke prevention, BB was inferior to angiotensin II receptor blockers (ARB) (OR, 1.361; 95% CI, 1.142 to 1.622), and diuretics were superior to ACEi (OR, 0.871; 95% CI, 0.771 to 0.984). The combination of ACEi+CCB was superior to ACEi+diuretic (OR, 0.892; 95% CI, 0.823 to 0.966). The network meta-analysis confirmed that diuretics were superior to BB (OR, 1.34; 95% CI, 1.11 to 1.58), ACEi+diuretic (OR, 1.47; 95% CI, 1.02 to 2.08), BB+CCB (OR, 2.05; 95% CI, 1.05 to 3.79), and renin inhibitors (OR, 1.87; 95% CI, 1.25 to 2.75) for stroke prevention. Regarding the tolerability profile, the pairwise analysis revealed that ACEi was inferior to CCB and less tolerable, compared to the other treatments. Conclusions: Monotherapy using diuretics, CCB, or ARB, and their combinations could be employed as first-line treatments for stroke prevention in terms of efficacy and tolerability.
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Xiao-Li Luo,Gen-Nian Qian,Hui Xiao,Chun-Lei Zhao,Xiao-Dong Zhou 대한영상의학회 2012 Korean Journal of Radiology Vol.13 No.3
Various anatomic anomalies have been considered the causes of nutcracker syndrome (NCS). Posterior NCS refers to the condition, in which vascular narrowing was secondary to the compression of the retroaortic left renal vein while it is crossing between the aorta and the vertebral column. Here, we report an unusual case of posterior NCS associated with a complicated malformation of the interrupted left inferior vena cava with azygos continuation and retroaortic right renal vein, diagnosed by both color Doppler ultrasonography and CT angiography.
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Xiao-Guang Dong,Li-Bing Gao,Hai-Jun Zhang,Jing Wang,Kai Qiu,Guang-Hai Qi,Shu-Geng Wu 한국축산식품학회 2021 한국축산식품학회지 Vol.41 No.6
This study discriminated fatty acid profile and flavor characteristics of Beijing You Chicken (BYC) as a precious local breed and Dwarf Beijing You Chicken (DBYC) eggs. Fatty acid profile and flavor characteristics were analyzed to identify differences between BYC and DBYC eggs. Four classification algorithms were used to build classification models. Arachidic acid, oleic acid (OA), eicosatrienoic acid, docosapentaenoic acid (DPA), hexadecenoic acid, monounsaturated fatty acids (MUFA), polyunsaturated fatty acids (PUFA), unsaturated fatty acids (UFA) and 35 volatile compounds had significant differences in fatty acids and volatile compounds by gas chromatographymass spectrometry (GC-MS) (p<0.05). For fatty acid data, k-nearest neighbor (KNN) and support vector machine (SVM) got 91.7% classification accuracy. SPME-GC-MS data failed in classification models. For electronic nose data, classification accuracy of KNN, linear discriminant analysis (LDA), SVM and decision tree was all 100%. The overall results indicated that BYC and DBYC eggs could be discriminated based on electronic nose with suitable classification algorithms. This research compared the differentiation of the fatty acid profile and volatile compounds of various egg yolks. The results could be applied to evaluate egg nutrition and distinguish avian eggs.
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