诊断式方法在学生辅导员管理工作中的应用

建立职业院校教学工作诊断与改进制度,引导和支持学校全面开展教学诊断与改进工作,切实发挥学校的教育质量保证的主体作用,作为职业院校的学生辅导员,如何利用诊断式方法改进学生辅导员在管理工作中的方式方法是本文探索的问题。

剩余气体束流剖面探测系统首次在线实验

介绍了以微通道板和电阻阳极所构成的位置灵敏探测器为基础的剩余气体束流剖面探测系统的工作原理和系统结构,描述了首次在线实验情况,证明了利用剩余气体束流剖面探测系统进行非拦截束流诊断的方法是可行的。

Giant hepatobiliary cystadenoma in a male with obvious convex papillate

Hepatobiliary cystadenoma that is most often found in is an uncommon lesion middle-aged women and difficult to diagnose preoperatively. Here, we report a case of giant hepatobiliary cystadenoma in a male patient with obvious convex papillate. On the basis of imaging examinations, the patient was diagnosed as hepatobiliary cystadenoma prior to operation. Left hepatectomy was performed and the patient was symptom-free during a 6-too follow-up period, suggesting that imaging examination is the major diagnostic method of hepatobiliary cystadenoma, and operation is its best treatment modality.

The Significance of PSA Modified Parameters (F/T)/PSAD for Diagnosing Prostatic Cancer in the Grey Zone of 4～10 ng/ml

OBJECTIVE To investigate the diagnostic value of modified prostate specific antigen(PSA)parameters in the diagnosis of prostate cancer(PCA) when the serum PSAis in a grey zone of 4~10 ng/ml. METHODS The results of serum PSA determinations of the patients receiving a transrectal ultrasound-guided multiphase prostatic biopsy,were retrospectively analyzed.In the 88 patients with a serum PSA value of 4-10 ng/ml,the final diagnosis of PCA was made in 21,and that of benign prostate hyperplasia(BPH)in 67 patients.The percentage of the free-serum PSA([FPSA]/total-serum PSA[TPSA],F/T),PSA density(PSAD)and the sensitivity and specificity of the new PSA modified parameter(F/T)/PSAD in diagnosing PCA,within a set threshold value,was compared. RESULTS In the 88 patients with serum PSA in the grey zone of 4.0-10.0 ng/ml,there was no significant difference in comparing the TPSA between the 21 PCA patients and 67 BPH patients(P>0.05).However, there was a significant difference in the value of modified PSA parameters, such as F/T,PSAD and(F/T)/PSAD,between the PCA and the BPH groups (P<0.001).As the cut off point-value of the F/T,PSAD and(F/T)/PSAD was set at 0.16,0.15 and 0.8,the diagnostic sensitivity for PCA was 66.7%, 76.2%and 85.7%,and the specificity was 41.8%,43.3%and 68.7%,respectively.There was no significant difference in the sensitivity comparing the modified parameters for diagnosing PCA(P>0.05),whereas an overt predominance was present in the specificity of(F/T)/PSAD for PCAdiagnosis (P<0.05). CONCLUSION In the serum PSA grey zone of 4-10 ng/ml,a modified PSA parameter can improve the PCA diagnostic accuracy rate.With a considerably high sensitivity,application of the(F/T)/PSAD may effectively enhance the diagnostic specificity,which is superior to the F/T and PSAD, and can be expected to be one of the new indices derived from the PSA.

Classification Methods Based on Pattern Discrimination Models for Web-Based Diagnosis of Rice Diseases

Two classification and identification methods based on pattern discrimination models and the majority-vote technique were investigated for implementing a World Wide Web-based system for the identification of rice diseases. The experiment was carried out using color and shape patterns in 425 images of three rice diseases, which were classified into four classes： two classes of leaf blast, and one class each of sheath blight and brown spot. A method consisting of two discrimination steps involving application of multiple discrimination models of a support vector machine gave the best result because of its capacity to evaluate the similarity of disease types. This accuracy of the method was 88% for leaf blast （A-type）, 94% for sheath blight, and 80% for leaf blast （B-type） and brown spot; on average, the accuracy of this method was 5% greater than that of the other method when three classes were used in the model. Although the accuracy of both methods was inadequate, the results of this study show that it is possible to estimate the least number of possible or similar diseases from a large number of diseases. Therefore, we conclude that there is merit in grouping classes into subgroups rather than attempting to discriminate between all classes simultaneously and that these methods are effective in identifying diseases for web-based diagnosis.

A fault diagnosis method of reciprocating compressor based on sensitive feature evaluation and artificial neural network

A method combining information entropy and radial basis function network is proposed for fault automatic diagnosis of reciprocating compressors.Aiming at the current situation that the accuracy rate of reciprocating compressor fault diagnosis which depends on manual work in engineering is very low,we apply information entropy evaluation to select the sensitive features and make clear the corresponding relationship of characteristic parameters and failures.This method could reduce the feature dimension.Then,a complete fault diagnosis architecture has been built combining with radial basis function network which has the fast and efficient characteristics.According to the test results using experimental and engineering data,it is observed that the proposed fault diagnosis method improves the accuracy of fault automatic diagnosis effectively and it could improve the practicability of the monitoring system.

Diagnosis of Valve-Slap of Diesel Engine with EEMD-EMD-AGST Approach

A hybrid of ensemble empirical mode decomposition and empirical mode decomposition (EEMD-EMD) is introduced to diagnose the valve-slap vibration signal,which is relative to the dominant combustion knock vibration signal given out by a diesel engine around the top dead center (TDC).The time-frequency representations of intrinsic mode functions (IMFs) decomposed by EEMD-EMD are obtained by adaptive generalized S transform (AGST).A type 493 diesel engine was used for the experiment,and the result indicates that the valve-slap of the diesel engine is serious,and the vibration frequencies are higher than the combustion knock.With EEMD-EMD-AGST approach,the valve-slap can be identified by the vibration analysis of the diesel engine.

A local and global statistics pattern analysis method and its application to process fault identification

Traditional principal component analysis （PCA） is a second-order method and lacks the ability to provide higherorder representations for data variables. Recently, a statistics pattern analysis （SPA） framework has been incorporated into PCA model to make full use of various statistics of data variables effectively. However, these methods omit the local information, which is also important for process monitoring and fault diagnosis. In this paper, a local and global statistics pattern analysis （LGSPA） method, which integrates SPA framework and locality pre- serving projections within the PCK is proposed to utilize various statistics and preserve both local and global in- formation in the observed data. For the purpose of fault detection, two monitoring indices are constructed based on the LGSPA model. In order to identify fault variables, an improved reconstruction based contribution （IRBC） plot based on LGSPA model is proposed to locate fault variables. The RBC of various statistics of original process variables to the monitoring indices is calculated with the proposed RBC method. Based on the calculated RBC of process variables＇ statistics, a new contribution of process variables is built to locate fault variables. The simula- tion results on a simple six-variable system and a continuous stirred tank reactor system demonstrate that the proposed fault diagnosis method can effectively detect fault and distinguish the fault variables from normal variables.

一种非酒精性脂肪性肝病的超声影像人工智能辅助诊断系统开发

目的:结合人工智能方法设计针对肝脏超声影像的辅助诊断系统,辅助医生对大样本肝脏超声影像数据的标准化和高效化诊断,实现基于肝脏超声图像的非酒精性脂肪性肝病的精准诊断。方法:通过开发肝脏超声影像的识别与分类、脂肪肝分级分析和肝脏脂肪含量定量分析三个模块,建立一套非酒精性脂肪性肝病的超声影像人工智能辅助诊断系统,该系统能够自动区分输入到系统中不同采样视野的超声影像类型,并对肝脏超声图像进行数字化分析,给出待测超声图像是否呈现脂肪肝以及其肝脏脂肪含量的百分比值。结果:本研究中的超声图像识别分类模块可高通量区分出肝肾比图像和衰减率图像的两类超声影像,其分类的准确率达100%。脂肪肝分级分析模块在测试集数据的准确率达到84%,展现出可胜任辅助医生诊断的能力。基于人工肝脏脂肪含量定量方法开发的肝脏脂肪含量定量分析模块的准确率达到67.74%。结论:本研究已开发出一套基于肝脏超声影像的智能辅助诊断系统,可以辅助医生快速、简单、无创地筛选出潜在患有脂肪肝的患者,虽然现阶段实现肝脏脂肪定量分析仍有难度,但已展现出较大的临床应用潜力。

Gallbladder carcinoma with tumor thrombus in common bile duct: an unusual way of growing invasion

Objective： To summarize the experience of diagnosis and surgical treatment for a rare invasion manner of gallbladder carcinoma, which was combined with tumor thrombus in common bile duct （CBD）. Methods： Between February 2003 and January 2005, 3 patients with gallbladder carcinoma who were identified of tumor thrombus in common bile duct in surgical procedure were retrospectively analyzed. Results： Abdominal ultrasound and magnetic resonance cholangiopancreatography （MRCP） were used for preoperative diagnosis. All 3 patients were given radical operations, which were composed of cholecystectomy, resection of the extrahepatic biliary duct, cuniform hepatectomy of gallbladder bed, skeletonization of the hepatoduodenal ligament, hilar choledochojejunostomy, and clearance of tumor thrombus from bile duct. Three patients were recovered well after surgery, which were respectively alive for 30 months, 17 months and 23 months without tumor recurrence,and 58 months, 41 months and 40 months for survival time after operation. Conclusion： Gallbladder carcinoma with tumor thrombus in common bile duct was very rare but with relatively special clinical manifestation and characteristic radiography manifestation. MRCP was one of the most potent diagnostic method. The prognosis of gallbladder carcinoma with tumor thrombus in common bile duct after surgical procedure was apparently better than gallbladder carcinoma with invasion of hilar tissues. Radical operation was feasible and safe for obtaining longer survival

翻译生产过程的研究

翻译研究的诊断式描述方法和有声思维的实证方法,都是为了尽可能揭示翻译过程这个黑箱,但这二者的局限性也很明显,它们关注的翻译过程未能真实地反映翻译现实。把翻译过程理解为翻译生产过程,并把它提升到主导地位,采取族群观察法深入翻译职场,也许能更好地反映现实中的翻译生产过程。