Roles of Immunohistochemical Staining in Diagnosing Pulmonary Squamous Cell Carcinoma

Yan, Yue,Zhang, Ya-Xiong,Fang, Wen-Feng,Kang, Shi-Yang,Zhan, Jian-Hua,Chen, Nan,Hong, Shao-Dong,Liang, Wen-Hua,Tang, Yan-Na,He, Da-Cheng,Wu, Xuan,Zhang, Li Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.2

Background: Differentiating morphologic features based on hematoxylin-eosin (HE) staining is the most common method to classify pathological subtypes of non-small-cell lung cancer (NSCLC). However, its accuracy and inter-observer reproducibility in pathological diagnosis of poorly differentiated NSCLC remained to be improved. Materials and Methods: We attempted to explore the role of immunohistochemistry (IHC) staining in diagnosing pulmonary squamous cell carcinoma (SQCC) with poorly differentiated features by HE staining or with elevated serum adenocarcinoma-specific tumor markers (AD-TMs). We also compared the difference of epidermal growth factor receptor (EGFR) mutation rate between patients with confirmed SQCC and those with revised pathological subtype. Logistic regression analyses were used to test the association between different factors and diagnostic accuracy. Results: A total of 132 patients who met the eligible criteria and had adequate specimens for IHC confirmation were included. Pathological revised cases in poor differentiated subgroup, biopsy samples and high-level AD-TMs cases were more than those with high/moderate differentiation, surgical specimens and normal-level AD-TMs. Moreover, biopsy sample was a significant factor decreasing diagnostic accuracy of pathological subtype (OR, 4.037; 95% CI 1.446-11.267, p=0.008). Additionally, EGFR mutation rate was higher in patients with pathological diagnostic changes than those with confirmed SQCC (16.7% vs 4.4%, p=0.157). Conclusions: Diagnosis based on HE staining only might cause pathological misinterpretation in NSCLC patients with poor differentiation or high-level AD-TMs, especially those with biopsy samples. HE staining and IHC should be combined as pathological diagnostic standard. The occurrence of EGFR mutations in pulmonary SQCC might be overestimated.

Meta-analysis of genome-wide association studies of adult height in East Asians identifies 17 novel loci

He, Meian,Xu, Min,Zhang, Ben,Liang, Jun,Chen, Peng,Lee, Jong-Young,Johnson, Todd A.,Li, Huaixing,Yang, Xiaobo,Dai, Juncheng,Liang, Liming,Gui, Lixuan,Qi, Qibin,Huang, Jinyan,Li, Yanping,Adair, Linda S IRL Press 2015 Human molecular genetics Vol.24 No.6

<P>Human height is associated with risk of multiple diseases and is profoundly determined by an individual's genetic makeup and shows a high degree of ethnic heterogeneity. Large-scale genome-wide association (GWA) analyses of adult height in Europeans have identified nearly 180 genetic loci. A recent study showed high replicability of results from Europeans-based GWA studies in Asians; however, population-specific loci may exist due to distinct linkage disequilibrium patterns. We carried out a GWA meta-analysis in 93 926 individuals from East Asia. We identified 98 loci, including 17 novel and 81 previously reported loci, associated with height at <I>P</I> < 5 × 10<SUP>−8</SUP>, together explaining 8.89% of phenotypic variance. Among the newly identified variants, 10 are commonly distributed (minor allele frequency, MAF > 5%) in Europeans, with comparable frequencies with in Asians, and 7 single-nucleotide polymorphisms are with low frequency (MAF < 5%) in Europeans. In addition, our data suggest that novel biological pathway such as the protein tyrosine phosphatase family is involved in regulation of height. The findings from this study considerably expand our knowledge of the genetic architecture of human height in Asians.</P>

Boiling heat transfer-based temperature rise characteristics of automotive permanent magnet synchronous motors at peak operating conditions

He Liange,Chen Hongling,Shi Wenjun 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.7

Using two-phase flow boiling heat transfer theory, the RPI subcooling boiling heat transfer model was established to study the temperature rise characteristics of the permanent magnet synchronous motor (PMSM) of electric vehicles under peak operating conditions, and the effects of coolant inlet temperature, altitude and inlet flow rate on the motor temperature rise were analyzed. The results showed that: the temperature rise characteristics of the motor are closer to the test results when boiling heat transfer is considered after the motor is warmed up, so the effect of boiling heat transfer of the cooling system should be considered when studying the temperature rise characteristics of the motor; The temperature rise characteristic of the motor increases with the increase of coolant inlet temperature at peak working condition. The short time required for the motor winding to reach 150 °C indicates that the motor temperature rises quickly. In the plateau environment, the temperature growth rate of the motor at peak working conditions increases with the increase of cooling water inlet temperature, while the motor temperature decreases with the decrease of atmospheric pressure. Thus, due to the boiling heat transfer phenomenon of cooling water two-phase flow, the temperature rise characteristic of the motor at high altitude is better than that in plain area.

Research on Temperature Rise Characteristics of Vehicle Motors Under Bench Working Condition

He Liange,Shi Wenjun,Xia Xiaohua,Wu Xinyang,Chen Hongling,Yan Xin 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.6

The specifi c bench test specifi ed by the product design standard is an important basis for judging whether the vehicle motor meets the requirements. To study the temperature rise characteristics of automotive permanent magnet synchronous motors under bench test conditions. Firstly, the bench condition was taken as the target we need to study, and the fi nite element method was used to calculate the loss of each part during the bench test condition. Secondly, use this loss as the heat source for temperature fi eld calculation to simulate the temperature fi eld of the motor under bench test conditions. Finally, a bench test platform was built for testing, and the test results and simulation results were compared and analyzed. Studies have shown that in the entire process of changing conditions, the temperature of each component is not the same as the sensitivity to changes in operating conditions. The maximum relative error between simulation and experiment was 9.4%, which verifi es the eff ectiveness of this research method and process, which has certain guiding signifi cance for the design and optimization of vehicle motors.

Loss Prediction of Vehicle Permanent Magnet Synchronous Motor Based on Deep Learning

He Liange,Wu Xinyang,Nie Yuanhang,Shi Wenjun 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.2

Based on the deep learning BP neural network algorithm, we establish the electromagnetic torque and loss prediction analysis model of permanent magnet synchronous motor to provide new design ideas and methods for optimizing motor structure design. In this paper, four-rotor structure parameters which are Rib, Air Gap, Magnet Thickness and Magnet Width, motor electromagnetic torque, and motor losses of the “V” type Interior Permanent Magnet Synchronous Motor are selected as the research object. The BP neural network structure prediction model with 2 visible layers and 2 hidden layers was built by 256 groups of sample data calculated by Maxwell transient electromagnetic simulation. 226 out of 256 randomly selected data samples were used to train the prediction model, and 30 groups were used to test the accuracy and generalization ability of the prediction model. and the prediction results data were compared with the deep learning prediction model through finite element simulation data. The results show that the BP neural network small-sample data prediction model has high prediction accuracy in the loss prediction of the vehicle permanent magnet synchronous motor, and verifies the feasibility of the motor torque and loss prediction model based on the deep learning algorithm.

Non-leaching and durable antibacterial textiles finished with reactive zwitterionic sulfobetaine

Liang He,Chang Gao,Sha Li,Cordelia T.W. Chung,John H. Xin 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.46 No.-

An antibacterialfinishing protocol using a reactive sulfobetaine was reported to fabricate safe anddurable antibacterial textiles. The specifically designed sulfobetaine contains highly reactive triazinegroup acting as an anchor tofix the antibacterial betaine group on textiles via covalent bond formation. After thefinishing, the textiles were endowed durable antibacterial activities of 98.0% against gramnegativeEscherichia coli and 95.2% against gram-positive Staphylococcus aureus even after they werelaundered for 30 times. The safety evaluation showed that the reactive sulfobetaine had no skin irritationand cytotoxicity. These results indicate that the developed antibacterialfinishing is safe and durable ontextiles.

The association study between CYP20A1, CYP4F2, CYP2D6 gene polymorphisms and coronary heart disease risk in the Han population in southern China

Liang Tiebiao,Liang Anshan,Zhang Xianbo,Wang Qi,Wu Haiqing,He Jun,Jin Tianbo 한국유전학회 2022 Genes & Genomics Vol.44 No.9

Background: Coronary heart disease (CHD) is a disease that seriously harms human health. Genetic factors seriously affect the CHD susceptibility. The CYP20A1, CYP4F2 and CYP2D6 are important drug metabolism enzymes in the human body. Objective: We aimed to explore the association between CYP20A1, CYP4F2, CYP2D6 single nucleotide polymorphisms (SNPs) and CHD risk in the Chinese Southern Han population. Methods: Based on the 'case-control' experimental design (505 cases and 508 controls), we conducted an association study between 5 candidate SNPs selected from CYP20A1 (rs2043449), CYP4F2 (rs2108622, rs3093106, rs309310), CYP2D6 (rs1065852) and CHD risk. Logistic regression was used to analyze the CHD susceptibility under different genetic models. Multi-factor dimensionality reduction (MDR) was used to analyze the interaction of 'SNP-SNP' in CHD risk. Results: Our results showed that under multiple genetic models, CYP2D6 rs1065852 significantly increased the CHD risk in these participants who are ≤ 60 years old (OR 1.40, CI 1.07-1.82, p = 0.013), smokers (OR 1.40, CI 1.02-1.93, p = 0.039), or have family history (OR 1.24, CI 1.02-1.51, p = 0.035). CYP4F2 SNPs rs2108622 (OR 0.63, CI 0.43-0.93, p = 0.020), rs3093106 (OR 0.52, CI 0.29-0.92, p = 0.023), and rs309310 (OR 0.55, CI 0.31-0.96, p = 0.033) were potentially associated with the course of CHD patients. Conclusion: Our study found that CY2D6 rs1065852 has an outstanding and significant association with increased CHD risk. Our study provided data supplements for CHD genetic susceptibility loci, and also provided a new and valuable reference for CHD drug treatment.

Statistics-based Optimization of Extracellular Polysaccharide Production from Hirsutella sinensis using a Fermentation Process and In vitro Immunomodulatory Activity

Liang He,Jun-Wen Cheng,Yan-Bin Wang,Hai-Bo Li,Hua Qian,Wei-Qi Li,Xue-Yong Ren 한국식품과학회 2014 Food Science and Biotechnology Vol.23 No.2

A 3 factor, 3 level Box-Behnken factorialdesign combined with response surface methodology wasused to optimize the fermentation process for production ofextracellular polysaccharide (EPS) from Hirsutella sinensis. The 3 independent variables were temperature (X1), initialpH (X2), and the glucose concentration (X3). Experimentaldata were fitted to a 2nd order polynomial equation usingmultiple regression. The optimal fermentation conditionsof the production of EPS were a temperature of 18.21oC,an initial pH of 5.81, and a glucose concentration of 7.39g/L. The maximum predicted EPS production of 2.41 g/Lwas close to the actual experimental EPS yield (2.42±0.038%), demonstrating the model validity. EPS from H. sinensis had a direct in vitro immuno-stimulating activityusing murine macrophage RAW264.7 cells, and stimulatedrelease of several major cytokines (IL-1β, NF-κB, TNF-α,and iNOS) in a dose-dependent manner.

Robust L<SUB>1</SUB> Filtering with Pole Constraint in a Disk via Parameter-dependent Lyapunov Functions

Liang He,Guang-Ren Duan,Ai-Guo Wu 제어로봇시스템학회 2006 제어로봇시스템학회 국제학술대회 논문집 Vol.2006 No.10

Polyphenol-Assisted Natural Coloration on Various Synthetic Textile Materials

Liang He,Vicky Lai Lai So,Suju Fan,John H. Xin 한국섬유공학회 2018 Fibers and polymers Vol.19 No.7

With the increasing awareness of sustainability development and public health in the modern society, environmentally-friendly coloration process draws tremendous attention in the textile industry. Toxic heavy metal mordants are forbidden to be used in the application of natural colorants in the coloration process. In this study, an environmentallyfriendly coloration process with natural colorants on various synthetic textile materials was developed in the presence of dopamine, whose in-situ self-polymerization could produce rich polyphenolic coloration anchors. Using the proposed method, various synthetic textile materials could be easily coloured with natural colorants in a simple process, which is especially suitable to those materials which are difficult to be colored. Compared with the control process, synthetic textile materials were endowed with better exhaustions of natural colorants, as verified by their deeper colour appearance and higher K/S values. The colored materials were also characterized by colorimetric analysis as well as scanning electron microscopy and optical microscopic analysis, which also confirmed the successful application of the proposed coloration process. Moreover, the proposed strategy could also be applied on a wide variety of materials. It is an innovative green coloration process in the textile material fields.