Combined Extracting Process and Activity Detection of Porcine Blood Superoxide Dismutase

[Objective] TO study the combined extracting process of porcine blood superoxide dismutase （SOD） and other bioactive substances and thus to provide technical basis for making full use of blood resources and large-scale production of SOD. [Method] Fibronectin, immunoglobulin, and hemoglobin were isolated from porcine blood, and SOD was extracted. Trace pyrogallol self-oxidation method to determine SOD activity was modified by optimizing the volume of pyrogallol and SOD samples, reaction temperature, and buffer pH. The specific activity of SOD was determined with the optimized extraction conditions. [ Result] The improved experimental conditions of SOD activity detection were as follows： 7 pyrogallol （50 mmol/L）, 3 ml Tris-HCI （50 mmol/L, pH 8.2）, reactive temperature at 25（3, and 10 pl SOD sample solution. The specific activity of extracted SOD was 5 056 U/mg protein. [ Conclusion] Four kinds of bioactive substance can be isolated from porcine blood by modern biological engi- neering integration technology, and the extracted SOD has better activity.

Combined detection tumor markers for diagnosis and prognosis of gallbladder cancer

AIM: To clarify the value of combined use of markers for the diagnosis of gallbladder cancer and prediction of its prognosis. METHODS: Serum cancer antigens (CA) 199, CA242, carcinoembryonic antigen (CEA), and CA125 levels were measured in 78 patients with gallbladder cancer (GBC), 78 patients with benign gallbladder diseases, and 78 healthy controls using electrochemiluminescence. CA199, CA242, CEA, and CA125 levels and positive rates were analyzed and evaluated pre-and post-operatively. Receiver operator characteristic curves were used to determine diagnostic sensitivity and specificity of GBC. Survival time analysis, including survival curves, and multivariate survival analysis of a Cox proportional hazards model was performed to evaluate independent prognostic factors. RESULTS: Serum CA242, CA125, and CA199 levels in the GBC group were significantly higher when compared with those in the benign gallbladder disease and healthy control groups (P < 0.01). With a single tumor marker for GBC diagnosis, the sensitivity of CA199 was the highest (71.7%), with the highest specificity being in CA242 (98.7%). Diagnostic accuracy was highest with a combination of CA199, CA242, and CA125 (69.2%). CA242 could be regarded as a tumor marker of GBC infiltration in the early stage. The sensitivity of CA199 and CA242 increased with progression of GBC and advanced lymph node metastasis (P < 0.05). The 78 GBC patients were followed up for 6-12 mo (mean: 8 mo), during which time serum CA199, CA125, and CA242 levels in the recurrence group were significantly higher than in patients without recurrence (P < 0.01). The post-operative serum CA199, CA125, and CA242 levels in the non- recurrence group were significantly lower than those in the GBC group (P < 0.01). Multivariate survival analysis using a Cox proportional hazards model showed that cancer of the gallbladder neck and CA199 expression level were independent prognostic factors. CONCLUSION: CA242 is a marker of GBC infiltration in the early stage. CA199 and cancer of the gallbladder neck are therapeutic and prognostic markers. (C) 2014 Baishideng Publishing Group Co., Limited. All rights reserved.

Beam pointing correction of variable polarization MMW/IR combined detection

A kind of beam-scanning algorithm of variable polarization millimeter array antenna based on the phased array technology is put forward in this paper. The algorithm can be successfully applied to deal with beam directivities inconsistency of millimeter wave/infrared（ MMW/IR ） multimode detector, it can keep electric axis and optical axis coincident. Accordingly, this method can decrease the data fusion difficulty and improve the accuracy of angle measurement. Simulation results show that variable polarization millimeter array antenna has flexible beam-scanning abibility within ±0.5° after the algorithm was adopted, simultaneously, antenna polarization purity is better than 20 dB within the half power beamwidth, sidelobe imbalance keeps high available and antenna gain of the sum beam is over 26.8 dB.

Combination of Loop-Mediated Isothermal Amplification Assay and Nested PCR for Detection of Borrelia burgdorferi sensu lato in Human Serum Samples

A set of universal loop-mediated isothermal amplification （LAMP） primers targeting the flo gene was designed to detect Borrelia burgdorferi sensu lato （B. burgdorferi s.I.） in human samples. The sensitivity of LAMP was 20 copies/reaction, and the assay did not detect false positives among 11 other related bacteria. A positive LAMP result was obtained for 9 of the 24 confirmed cases and for 12 of 94 suspected cases. The positive rate of LAMP was the same as that of nested PCR. The LAMP is a useful diagnostic method that can be developed for rapid detection of B. burgdorferi s.I. in human sera. Combination of the LAMP and nested PCR was more sensitive for detecting B. burgdorferi s.I. in human serum samples.

Enhanced Side-Channel Leakage Detection Method by Considering Combinational Logic

In this paper,we propose a hybrid power model that includes the power consumption of not only the registers but also part of the combinational logic.By doing knownkey analysis with this hybrid model,power side-channel leakage caused by correct keys can be detected.In experiment,PRINTcipher and DES algorithms were chosen as analysis targets and combinational logic s-box unit was selected to build power template.The analysis results showed the signal-to-noise ratio(SNR) power consumption increase of more than 20%after considering s-box's power consumption so that the information of keys can be obtained with just half number of power traces.In addition,the side channel-leakage detection capability of our method also shows better effectiveness that can identify the correct keys.

Detection of Antibodies in Serum Specimens from Dogs with Blastomycosis with Lysate Antigens Prepared from Four <i>Blastomyces dermatitidis</i>Dog Isolates: Individual Antigens vs Antigen Combinations

Blastomycosis, the systemic fungal infection of humans and animals, has presented a diagnostic challenge to clinicians and laboratory personnel for many years. Our laboratory has been concentrating on attempting to develop antigenic reagents from the yeast phase of various isolates of Blastomyces dermatitidis and to evaluate these lysate antigens with regard to antibody detection in blastomycosis. The aim of this current study was to evaluate yeast phase antigens prepared from four dog isolates of B. dermatitidis and to evaluate their efficacy, when used individually or in combination, for antibody detection in sera from dogs with blastomycosis. Mean absorbance values using the ELISA to assay 24 serum specimens (Trial 1) ranged from 0.588 with an individual lysate antigen to 0.992 when three reagents were combined. Eight of the lysates exhibited mean absorbance values ranging from 0.992 to 0.915 with 7 out of 8 being lysate antigen combinations. Mean absorbance values with the other 6 lysates ranged from 0.899 to 0.588. In Trial 2, the 6 most sensitive reagents from Trial 1 were assayed against 10 highly reactive dog sera. The results of Trial 2 showed that 5 antigen combinations detected antibody to a greater degree than the individual lysate antigen. Combinations of northern and southern antigens were able to detect antibody in serum specimens from either of these geographical regions. Comparative studies are continuing to further evaluate various lysate antigen combinations for antibody detection in blastomycosis.

Combination of structure tensor and tilt angle in the edge detection of potential field data

Edge detection is a commonly requested task in the interpretation of potential field data. Different methods have different results for varied depths and shapes of geological bodies. In this paper,we propose using the combination of structure tensor and tilt angle to detect the edges of the sources,which can display the edges of shallow and deep bodies simultaneously. Through tests on synthetic potential field data,it is obvious that the proposed edge detection methods can display the sources edges more clearly and precisely,compared with other commonly used methods. The application on real potential field data shows similar result,obtaining the edges of layers and faults clearly. In addition,another advantage of the new method is its insensitivity to noise.

Combined measurement of thyroid and plasma homocysteic acid for detecting the severity of vascular dementia

BACKGROUND: Recent researches demonstrate that onset of cerebral infarction always accompanies with obvious changes of function of thyroid axis; while, high-homocysteic acidemia has been proved as one of risk factors of vascular dementia and Alzheimer disease. Meanwhile, it is found that level of plasma homocysteic acid is positive correlation with injured degrees of cognitive function and brain damage. OBJECTIVE: To observe the changes of function of thyroid and level of homocysteic acid among patients with vascular dementia and compare with those patients without dementia cerebral infarction. DESIGN: Randomized grouping and contrast observation. SETTING: Department of Neurology, People’s Hospital Affiliated to Yunyang Medical College, South China Hospital of Wuhan University. PARTICIPANTS: A total of 38 patients with vascular dementia were hospitalized in the Department of Neurology, People’s Hospital Affiliated to Yunyang Medical College from February 2004 to December 2005. All patients met the diagnostic criteria of the Fourth Edition of Diagnostic and Statistical Manual of Mental Disorder (DSM-IV) established by American Psychiatric Association. Based on educational degrees, Mini-mental Status Examination (MMSE) was classified into illiteracy (≤ 17 points), education of primary school (educational duration ≤ 6 years, ≤ 24 points) and education of middle school or above (educational duration > 6 years, ≤ 24 points). Forty patients with non-dementia cerebral infarction were regarded as the control group and checked with CT examination. There were no significant differences of sex and age between the two groups. All patients and relatives were provided the consent. METHODS: Within 24 hours after hospitalization, patients with vascular dementia received MMSE scores, and the degrees were classified based on the scoring results: mild (20-24 points), moderate (10-19 points) and severe (below 10 points). Levels of thyroxine were measured with radioimmunodetection and content of homocysteic acid was measured with high performance liquid chromatogram (HPLC) electrochemical detection. MAIN OUTCOME MEASURES: Levels of homocysteic acid and thyroxine among patients with vascular dementia and non-dementia cerebral infarction. RESULTS: A total of 38 patients with vascular dementia and 40 patients with non-dementia cerebral infarction were involved in the final analysis. ① Levels of triiodothyronine (T3), thyroxine (T4) and free T3 (FT3) were (0.9±0.4) μg/L, (92.9±26.4) μg/L and (3.9±1.8) pmol/L in vascular dementia group respectively, which were higher than those in control group [(1.3±0.3) μg/L, (110.2±28.7) μg/L, (7.2±2.1) pmol/L, t =2.766 6-7.433 6, P < 0.01]; while, level of homocysteic acid was (29.57±7.12) μmol/L in vascular dementia group, which was higher than that in control group [(24.53±4.98) μmol/L, t =3.637 7, P < 0.01]. There were no significant differences of free T4 (FT4) and thyrotropic-stimulating hormone (TSH) between the two groups (P > 0.05). ② Levels of FT3 of patients with mild, moderate and severe vascular dementia were (1.0±0.2), (0.9±0.1) and (0.8±0.1) μg/L, respectively; levels of homocysteic acid were (26.52±4.84), (29.59±5.56) and (32.71±6.17) μmol/L, respectively. There were significant differences among patients at the three degrees of vascular dementia (F =3.59-32.4, P < 0.01). However, there were no significant differences of T4, FT4 and TSH among the three kinds of patients (P > 0.05). CONCLUSION: Levels of thyroxine of patients with vascular dementia decrease; however, levels of homocysteic acid increase. Therefore, the results can indirectly reflect severities of vascular dementia.

Fast Edge Detection Based on the Combination of Fuzzy Subsets

A fast edge detection method basing on the combination of fuzzy subsets is developed, in which the detection of an edge as a classification problem will be considered, partitioning the image into two portions: the edge portion and the non-edge portion. The latter one, as the main constituent of an image, consists of the object and its background. Removing the non-edge portion from an image, the remainder is nothing but the edge of this image. As far as the fuzziness of the edge of an image is concerned, some fuzzy operations can be made. In this paper, the gray level histogram is partitioned into several sub-regions, and some operations are performed with the associated fuzzy subsets corresponding to those sub-edges in the sub-regions on the gray-level-square-difference histogram, and the edge of this image is finally obtained. Practical examples in this paper illustrate that, the described method is simple and effective to achieve an ideal edge image.

RVP Fast与Seeplex PneumoBacter ACE Detection assay联合诊断呼吸道感染病原体

目的采用RVP Fast与Seeplex PneumoBacter ACE Detection assay两种方法,联合诊断呼吸道感染病原体。方法收集南京市呼吸道感染患者咽拭子标本67份,提取RNA及DNA,呼吸道病毒群快速检测(Respiratory Virus Panel Fast Array,RVP Fast)技术检测呼吸道病毒,Seeplex PneumoBacter ACE Detection assay检测呼吸道六重病原体。结果 67份标本中,呼吸道病毒阳性仅4例,主要为肠鼻病毒。呼吸道六重病原体检测中,阳性标本为26例,其中肺炎链球菌、流感嗜血杆菌、肺炎衣原体阳性较多。结论 RVP Fast与Seeplex PneumoBacter ACE Detection assay联合使用,有利于明确呼吸道感染病原体。

ANALYSES ON STRUCTURAL DAMAGE IDENTIFICATION BASED ON COMBINED PARAMETERS

The relative sensitivities of structural dynamical parameters were analyzed using a directive derivation method. The neural network is able to approximate arbitrary nonlinear mapping relationship, so it is a powerful damage identification tool for unknown systems. A neural network-based approach was presented for the structural damage detection. The combined parameters were presented as the input vector of the neural network, which computed with the change rates of the several former natural frequencies ( C), the change ratios of the frequencies ( R), and the assurance criterions of flexibilities (A). Some numerical simulation examples, such as, cantilever and truss with different damage extends and different damage locations were analyzed. The results indicate that the combined parameters are more suitable for the input patterns of neural networks than the other parameters alone.

Pautomatic Sea Target Detection Based on Wavelet Transform

An effective automatic target detection algorithm based on wavelet transform,which takes advantage of the localization and the orientation of wavelet analysis,is proposed.The algorithm detects the target in the vertical component of the wavelet transformation of the image.After mutual energy combination and sea clutter suppression through spatial weighting and thresholding,the target is located through maximum energy determination and its size is indicated through similarity measurement function of two overlapping windows.Experiment results show that the target can be detected by the algorithm in a single image frame and the better efficiency can be obtained also under the complicated backgrounds of existing the disturbances of cloud layer and fish scale light.

Defect detection of gear parts in virtual manufacturing

Gears play an important role in virtual manufacturing systems for digital twins;however,the image of gear tooth defects is difficult to acquire owing to its non-convex shape.In this study,a deep learning network is proposed to detect gear defects based on their point cloud representation.This approach mainly consists of three steps:(1)Various types of gear defects are classified into four cases(fracture,pitting,glue,and wear);A 3D gear dataset was constructed with 10000 instances following the aforementioned classification.(2)Gear-PCNet++introduces a novel Combinational Convolution Block,proposed based on the gear dataset for gear defect detection to effectively extract the local gear information and identify its complex topology;(3)Compared with other methods,experiments show that this method can achieve better recognition results for gear defects with higher efficiency and practicability.

Efficient Accurate Context-Sensitive Anomaly Detection

For program behavior-based anomaly detection, the only way to ensure accurate monitoring is to construct an efficient and precise program behavior model. A new program behavior-based anomaly detection model, called combined pushdown automaton (CPDA) model was proposed, which is based on static binary executable analysis. The CPDA model incorporates the optimized call stack walk and code instrumentation technique to gain complete context information. Thereby the proposed method can detect more attacks, while retaining good performance.

A combined moving mechanism with independent movement in longitudinal direction and transverse direction

To make the detecting robot move on the surface of the finned tubes, a novel combined moving mechanism is developed. The combined moving mechanism is composed of sprocket wheel and drum-like small wheel installed on the chain. It can make the robot move independently in the direction parallel to the tubes and in the direction perpendicular to the tubes. This paper made a detailed discussion on the composition of the combined moving mechanism, the design method of the conjugate outline curve and the circular-arc outline curve of the drum-like small wheel that meshes with the tubes. The error of the circular-arc outline curve is also analyzed.

Combining TDLAS and multi-fusion algorithms for methane gas concentration detection

High-precision methane gas detection is of great importance in industrial safety, energy production and environmental protection, etc. However, in the existing measurement techniques, the methane gas concentration information is susceptible to noise, which leads to its useful signal being drowned by noise. A fusion algorithm of variational modal decomposition(VMD) and improved wavelet threshold filtering is proposed, which is used in combination with tunable diode laser absorption spectroscopy(TDLAS) to implement a non-contact, high-resolution methane gas concentration detection. The fusion algorithm can perform noise reduction and further segmentation of the methane gas detection signal. And the simulation and experiment verify the effectiveness of the fusion algorithm, and the experimental results show that for the detection of air containing 10 ppm, 30 ppm, 60 ppm, 80 ppm, and 99 ppm methane, the errors are 12.75%, 8.18%, 3.37%, 2.46%, and 1.78%, respectively.

血清同型半胱氨酸与脂蛋白(a)联合检测对冠状动脉粥样硬化疾病的预测价值

目的探讨血清同型半胱氨酸联合脂蛋白(a)检测对于冠状动脉粥样硬化疾病的预测价值及意义。方法选取80例2023年1月—10月莆田市第一医院收治的冠状动脉粥样硬化疾病患者为试验组,并随机选择80名同期来院体检的健康人群为对照组。检测患者血清同型半胱氨酸与脂蛋白(a)水平,分析两项指标单独检测与联合检测对于冠状动脉粥样硬化疾病检测阳性率及疾病诊断的特异度、敏感度、Youden指数和诊断符合率指标的差异。结果试验组HCY水平与Lp(a)水平均高于对照组L(均P<0.05)。试验组HCY、Lp(a)与HCY联合Lp(a)检测阳性率高于对照组(均P<0.05),且HCY联合Lp(a)检测阳性率最高。HCY联合Lp(a)检测的特异度、灵敏度、Youden指数与诊断符合率均高于单独HCY方法检测与单独Lp(a)方法检测(P<0.05)。结论血清HCY联合Lp(a)检测有助于提高冠状动脉粥样硬化疾病阳性率,较单独检测方式具有更高的诊断效能,对临床评估患者病情具有参考意义。

CA724、CEA、CA242、CA199肿瘤标志物联合检验对胃癌临床诊断价值探析

目的探析为胃癌患者应用多种肿瘤标志物[糖类抗原724(CA724)、癌胚抗原(CEA)、糖类抗原242(CA242)、糖类抗原199(CA199)]联合检验的临床诊断指导意义,为更好追踪和了解病情状态提供可靠数据。方法随机抽取2019年1月至2023年12月间濮阳市中医医院胃癌、慢性萎缩性胃炎合并重度不典型增生、浅表性胃炎患者各41例,分别命名为观察组、对照1组、对照2组,所有纳入对象均检验CA724、CEA、CA242、CA199肿瘤标志物指标,比较单独指标检验、联合检验下的诊断价值差异。结果三组患者肿瘤标志物肿瘤标志物比较,观察组患者CA724、CEA、CA242、CA199指标数据相对最高,对照1组次之,对照2组上述指标检验数据最低,差异均有统计学意义(P<0.05)。低分化程度胃癌患者CA724、CEA、CA242、CA199阳性符合率高于中、高分化患者,出现肝转移胃癌患者CA724、CEA、CA242、CA199阳性率符合率高于无肝转移胃癌患者,晚期阶段的胃癌患者CA724、CEA、CA242、CA199阳性率符合率高于早期患者,差异均有统计学意义(P<0.05)。结论不同胃部疾病患者的肿瘤标志物检测水平浓度不同,胃癌低分化程度肿瘤患者、肝转移患者、晚期胃癌患者的阳性符合率更高,对于筛查、病情预后追踪、复发风险等均有应用价值。

S-Detect技术与常规超声不同联合方案在乳腺结节评估中的应用

目的:探讨S-Detect技术与常规超声不同联合方案在乳腺结节评估中的应用价值。方法:收集2019年5月-2020年4月175个乳腺结节的常规超声图像,术前由低、中、高年资的超声医师各自进行常规超声乳腺影像报告和数据系统(breast imaging report and data system,BI-RADS),分类,并分别以4种不同方案联合S-Detect结果进行调整,术后以病理结果为金标准,评估S-Detect的诊断价值,同时比较不同年资医师联合不同方案前后的诊断效能。结果:单用S-Detect的诊断特异性高于超声医师,差异均有统计学意义(P <0.01)。低、中年资医师联合诊断的AUC值显著提高,且差异有统计学意义(P<0.01),其中联合方案三、四显著优于方案一、二(P<0.05);高年资医师联合后AUC值降低。结论:S-Detect技术具有较高的诊断特异性,低、中年资医师联合S-Detect技术进行BI-RADS分类可以提高诊断效能,其中联合方案三、四较优。

系统性红斑狼疮的免疫学检验联合检测诊断的效果

目的探究系统性红斑狼疮免疫学联合检测的诊断效果。方法选取2023年1月至2024年1月本院接诊的30例系统性红斑狼患者作为观察组,同时选取同期30名健康体检者作为对照组,两组参与人员均行免疫学检验联合检测,对两组的血清免疫学指标(IgG、IgA、IgM、补体C3、C4水平)、免疫性指标阳性率进行对比与评估。结果相较于对照组,观察组患者表现出IgG、IgA、IgM水平上升,而补体C3、C4水平则下降(P<0.05)。此外,观察组在干燥综合征A抗原(SS-A)、干燥综合征B抗原(SS-B)、SS-A与SS-B双阳性、抗核抗体谱(ANAS)、ENA多肽抗体Sm、抗ds-DNA抗体、抗核糖核酸抗体U1RNP及Sm与U1RNP双阳性的阳性率上均高于对照组(P<0.05)。结论免疫学检验联合检测在系统性红斑狼疮诊断中的应用价值较高,能为患者治疗提供参考。