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Wen, Ying,Pan, Xiong-Fei,Huang, Wen-Zhi,Zhao, Zhi-Mei,Wei, Wen-Qiang,Chen, Feng,Lan, Hui,Huang, He,Yang, Chun-Xia,Qiao, You-Lin Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.1
Background: The current study examined health-related quality of life (QoL) for patients with esophageal/gastric cardia precursor lesions or cancer before and after treatment to facilitate improved prevention and treatment. Materials and Methods: Patients with different stages of esophageal/gastric cardia lesions completed two QoL questionnaires, EORTC QLQ-C30 and supplemental QLQ-OES 18, before primary treatment, and at 1, 6 and 12 months after treatment. Results: Fifty-nine patients with precursor lesions, 57 with early stage cancer, and 43 with advanced cancer responded to our survey. Patients with precursor lesions or early stage cancer reported better QoL overall than those with advanced cancer before treatment (p<0.01). Global QoL scores before treatment and at 1 month after treatment were $71{\pm}9$ versus $69{\pm}9$ (p>0.01), $71{\pm}8$ versus $61{\pm}11$ (p<0.01), $67{\pm}11$ versus $62{\pm}9$ (p<0.01) for three stages of lesions. At 6 months after treatment, some QoL measures recovered gradually in precursor lesion and early cancer patients, while some continuously deteriorated in advanced cancer patients. At 12 months, all QoL scores were comparable to baseline for patients with precursor lesions (p>0.01), while global QoL, social, pain, and insomnia scores for early stage and advanced cancer were inferior to corresponding baseline levels (difference between means>5, p<0.01). At this time point, compared with patients with early stage cancer, those with advanced cancer showed worse QoL with all function and most symptom measures (p<0.01). Conclusions: Patients with precursor lesions or early stage esophageal/gastric cardia cancer show better QoL than those with advanced cancer. This indicates that screening, early diagnosis and treatment may improve the QoL for esophageal/gastric cardia cancer patients. Target intervention and counseling should be given by health care providers during treatment and follow-up to facilitate QoL improvement.
The Quantitative Evaluation of Automatic Segmentation in Lumbar Magnetic Resonance Images
Yao-Wen Liang,Yu-Ting Fang,Ting-Chun Lin,Cheng-Ru Yang,Chih-Chang Chang,Hsuan-Kan Chang,Chin-Chu Ko,Tsung-Hsi Tu,Li-Yu Fay,Jau-Ching Wu,Wen-Cheng Huang,Hsiang-Wei Hu,You-Yin Chen,Chao-Hung Kuo 대한척추신경외과학회 2024 Neurospine Vol.21 No.2
Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion: Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.
You-Qun Zhao,Zhao Wen Deng,Qi Xian Zhao,Bao Hua Wang,Wei Gao,Xin Xin Kong 한국자동차공학회 2022 International journal of automotive technology Vol.23 No.4
Directional performance and highway stability are two important aspects that need to be considered in development and design of a heavy articulated vehicles. To improve the maneuverability and stability of a multi-trailer articulated heavy vehicle (MTAHV), an active linear quadratic regulator (LQR) multi-axle-steering method is designed and examined. First, a linear yaw-plane model with four-degree-of freedom (4-DOF) for MTAHV is built and validated. Thus, a reference model supplying the desired state responses is introduced. Then, an active control algorithm of multi-axle-steering for the rear axles of tractor and full-trailer is investigated, and a LQR controller is proposed based on the linear vehicle model to make the control variables track the desired state responses. The control strategy concentrates on keeping the actual yaw rate and side-slip angle follow the steady-state yaw rate and zero side-slip angle. Finally, the effectiveness of the designed approach on enhancing the maneuverability and stability of the MTAHV have been validated through the simulations of the low-speed 360o roundabout and the single lane-change maneuver with high speed, respectively. The method has a certain reference value for improving the active safety of the MTAHV.
Prediction and analysis of structural noise of a box girder using hybrid FE-SEA method
Wen-jun Luo,Zi-zheng Zhang,Bao-you Wu,Chang-jie Xu,Peng-qi Yang 국제구조공학회 2020 Structural Engineering and Mechanics, An Int'l Jou Vol.75 No.4
With the rapid development of rail transit, rail transit noise needs to be paid more and more attention. In order to accurately and effectively analyze the characteristics of low-frequency noise, a prediction model of vibration of box girder was established based on the hybrid FE-SEA method. When the train speed is 140 km/h, 200 km/h and 250 km/h, the vibration and noise of the box girder induced by the vertical wheel-rail interaction in the frequency range of 20-500 Hz are analyzed. Detailed analysis of the energy level, sound pressure contribution, modal analysis and vibration loss power of each slab at the operating speed of 140 km /h. The results show that: (1) When the train runs at a speed of 140km/h, the roof contributes more to the sound pressure at the far sound field point. Analyzing the frequency range from 20 to 500 Hz: The top plate plays a very important role in controlling sound pressure, contributing up to 70% of the sound pressure at peak frequencies. (2) When the train is traveling at various speeds, the maximum amplitude of structural vibration and noise generated by the viaduct occurs at 50 Hz. The vibration acceleration of the box beam at the far field point and near field point is mainly concentrated in the frequency range of 31.5-100 Hz, which is consistent with the dominant frequency band of wheel-rail force. Therefore, the main frequency of reducing the vibration and noise of the box beam is 31.5-100 Hz. (3) The vibration energy level and sound pressure level of the box bridge at different speeds are basically the same. The laws of vibration energy and sound pressure follow the rules below: web <wing plate <top plate. (4) When the train is running at a higher speed, the noise and vibration of the bridge structure are larger. (5) The hybrid FE-SEA method is used to predict the structural noise of the box beam, which not only improves the efficiency, but also improves the calculation accuracy, thereby expanding the frequency range of the structural noise and improving the prediction accuracy.
Impact of Interleukin-10 Gene Polymorphisms on Survival in Patients with Colorectal Cancer
Wen-Chien Ting,Lu-Min Chen,Li-Chia Huang,Mann-Jen Hour,Yu-Hsuan Lan,Hong-Zin Lee,Bang-Jau You,Ta-Yuan Chang,Bo-Ying Bao 대한의학회 2013 Journal of Korean medical science Vol.28 No.9
Chronic inflammation is thought to be the leading cause of colorectal cancer, and interleukin-10 (IL10) has been identified as a potent immunomodulatory cytokine that regulates inflammatory responses in the gastrointestinal tract. Although several single nucleotide polymorphisms (SNPs) in IL10 have been associated with the risk of colorectal cancer, their prognostic significance has not been determined. Two hundred and eightytwo colorectal cancer patients were genotyped for two candidate cancer-associated SNPs in IL10. The associations of these SNPs with distant metastasis-free survival and overall survival were evaluated by Kaplan-Meier analysis and Cox regression model. The minor homozygote GG genotype of IL10 rs3021094 was significantly associated with a 3.30-fold higher risk of death compared with the TT+TG genotypes (P = 0.011). The patients with IL10rs3021094 GG genotype also had a poorer overall survival in Kaplan-Meier analysis (log-rank P = 0.007) and in multivariate Cox regression model (P = 0.044) adjusting for age, gender,carcinoembryonic antigen levels, tumor differentiation, stage, lymphovascular invasion,and perineural invasion. In conclusion, our results suggest that IL10 rs3021094 might be a valuable prognostic biomarker for colorectal cancer patients.
PROCESS CONTROL LANGUAGE (PCL)
Wen, Jiang Jing,Qin, Lei You 대한전자공학회 1992 HICEC:Harbin International Conference on Electroni Vol.1 No.1
Process control language (PCL) realized in Z-80 STD system is a kind of high-level language used in process control. Besides the basic statements of CBASIC, it provides 11 control definition statements, 8 auxiliary definition statements, 5 process functions and 13 control commands. The PCL interprets definition statements once, then builds a nacessary data area. And the control functions are realized by the interrupt service programs. Therefore, the PCL has the advantages of both interactive language and machine language.