Identification of Regional Lymph Node Involvement of Colorectal Cancer by Serum SELDI Proteomic Patterns

Background. To explore the application of serum proteomic patterns for the preoperative detection of regional lymph node involvement of colorectal cancer (CRC). Methods. Serum samples were applied to immobilized metal affinity capture ProteinChip to generate mass spectra by Surface-Enhanced Laser Desorption/ionization Time-of-Flight Mass Spectrometry (SELDI-TOF-MS). Proteomic spectra of serum samples from 70 node-positive CRC patients and 75 age- and gender-matched node-negative CRC patients were employed as a training set, and a classification tree was generated by using Biomarker Pattern Software package. The validity of the classification tree was then challenged with a blind test set including another 65 CRC patients. Results. The software identified an average of 46 mass peaks/spectrum and 5 of the identified peaks at m/z 3,104, 3,781, 5,867, 7,970, and 9,290 were used to construct the classification tree. The classification tree separated effectively node-positive CRC patients from node-negative CRC patients, achieving a sensitivity of 94.29% and a specificity of 100.00%. The blind test challenged the model independently with a sensitivity of 91.43% a specificity of 96.67%. Conclusions. The results indicate that SELDI-TOF-MS can correctly distinguish node-positive CRC patients from node-negative ones and show great potential for preoperative screening for regional lymph node involvement of CRC

Halogenated organic molecules of Rhodomelaceae origin: chemisty and biology

1引言 2。评论 3。分类 4，结构和发生 4.1。卤化单萜 4.2。卤化倍半萜 4.2.1。Bisabolane倍半萜 4.2.2。Brasilane倍半萜 4.2.3。Chamigrane倍半萜 4.2.4。Cuparane倍半萜 4.2.5。桉和6,8 - Cycloeudesmane倍半萜 4.2.6。Laurane和Cyclolaurane倍半萜 4.2.7。Snyderane倍半萜 4.2.8。倍半萜与新碳骨架 4.2.9。杂倍半萜 4.2.10。卤化倍半萜的发生概要 4.3。卤代烷二萜 4.3.1。Irieane二萜 4.3.2。Labdane二萜 4.3.3。Parguerane，Isoparguerane，Neoparguerane和Pimarane二萜 4.3.4。其他二萜与新的或少见报道骷髅 4.4。卤化三萜类/聚醚 4.4.1。三萜类持有2,7 - 二氧杂双环[4.4.0]癸烷骨架 4.4.2。三萜类持有一个2,8 - 二氧杂双环[5.4.0]十一烷骨架 4.4.3。三萜类持有对称元素（S） 4.5。卤化Nonterpenoid C15-内酯（ACGS） 4.5.1。线性ACGS 4.5.2。五元环醚类（四氢呋喃ACGS，THF ACGS）的ACGS 4.5.3。国际清算银行 - 四氢呋喃类（双四氢呋喃ACGS）的ACGS 4.5.4。的2,6 - 二氧杂双环[3.3.0]辛烷类的ACGS 4.5.5。六元环醚类（四氢吡喃ACGS，THP ACGS）的ACGS 4.5.6。的2,7 - 二氧杂双环[4.3.0]壬烷类ACGS 4.5.7。七元环醚类ACGS 4.5.8。八元环醚类ACGS 4.5.9。九和十元环醚类的ACGS 4.5.10。十二元环醚类ACGS 4.5.11。该Maneonene和Isomaneonene类的ACGS 4.5.12。支ACGS 4.5.13。杂项ACGS 4.6。卤代吲哚 4.7。卤化酚类/芳烃 4.8。其他卤化有机分子 4.9。摘要以卤化有机分子的发生 5，化学分类学意义 6。合成 6.1。倍半萜的合成 6.1.1。Chamigrane倍半萜的合成 6.1.2。Laurane和Snyderane倍半萜的合成 6.1.3。倍半萜的合成与新型碳骨架 6.2。二萜的合成 6.3。三萜类化合物的合成 6.3.1。Thyrsiferol及其衍生物的合成 6.3.2。（+） - Intricatetraol的合成 6.4。C15-内酯的合成（ACGS） 6.4.1。ACGS含四氢呋喃结构单元的合成 6.4.2。七元环ACGS的合成 6.4.3。ACGS含有八元环的环状醚的芯体的合成 6.4.4。ACGS含九元环的环状醚的芯体的合成 6.4.5。Maneonene和Isomaneonene ACGS的合成 6.5。Bromoindoles的合成 6.6。溴苯酚的合成 7，生物合成 7.1。倍半萜的生物合成 7.2。C15-内酯的生物合成 8，生物活性和功能 8.1。生物活性 8.1.1。细胞毒活性 8.1.2。抗菌活性 8.1.3。抗真菌活性 8.1.4。抗病毒活性 8.1.5。酶抑制活性 8.1.6。自由基清除活性 8.2。生物功能 8.2.1。拒食作用 8.2.2。杀虫活性 8.2.3。防污活动 8.2.4。化感活性 8.3。杂项活动 8.4。生物活性和功能的概要 9。为未来的发现与展望结语 </ul

The Different Attribute of Online Store- An Industrial Perspective

Online stores are dramatically increasing and becoming popular, in a way that enterprisers invest tremendous resource and effort to meet customer requirements. However, the failure rate resulting from improper operation has been increasing year by year. By investigating the main cause, the operators cannot grasp the online store websites’ industry type and attribute category. Therefore, they fail to effectively use resource, show website image of the stores and information quality, to further meet customers’ demand and obtain the expected operational efficiency. Therefore, this research (1) grasps the website attribute of online stores by reviewing the literature; (2) sets up “online store website attributes structure” through qualitative method, serving as a basis for enterprisers to improve the operation/service mechanism; (3) sets up “industry breadth and depth graph”, so as to find the website content equilibrium degree of various industries’ online store and further obtain improvement strategy. It is believed that this research result, as said by the professors and scholars being interviewed, not only assists enterprisers to clearly grasp advantage/disadvantage and strategy of online store website attribute, but also promotes the effectiveness in resource utilization and the probability of success. Meanwhile, this research result can also effectively link practical application and academic value and provide researchers with new direction and scope.DOR : 98.1000/1726-8125.2015.0.27.0.0.84.10

A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract)

Recent techniques for analyzing sports precisely has stimulated various approaches to improve player performance and fan engagement. However, existing approaches are only able to evaluate offline performance since testing in real-time matches requires exhaustive costs and cannot be replicated. To test in a safe and reproducible simulator, we focus on turn-based sports and introduce a badminton environment by simulating rallies with different angles of view and designing the states, actions, and training procedures. This benefits not only coaches and players by simulating past matches for tactic investigation, but also researchers from rapidly evaluating their novel algorithms.Comment: Accepted by AAAI 2023 Student Abstract, code is available at https://github.com/wywyWang/CoachAI-Projects/tree/main/Strategic%20Environmen

Serum Peptidome Patterns of Colorectal Cancer Based on Magnetic Bead Separation and MALDI-TOF Mass Spectrometry Analysis

Background. Colorectal cancer (CRC) is one of the most common cancers in the world, identification of biomarkers for early detection of CRC represents a relevant target. The present study aims to determine serum peptidome patterns for CRC diagnosis. Methods. The present work focused on serum proteomic analysis of 32 health volunteers and 38 CRC by ClinProt Kit combined with mass spectrometry. This approach allowed the construction of a peptide patterns able to differentiate the studied populations. An independent group of serum (including 33 health volunteers, 34 CRC, 16 colorectal adenoma, 36 esophageal carcinoma, and 31 gastric carcinoma samples) was used to verify the diagnostic and differential diagnostic capability of the peptidome patterns blindly. An immunoassay method was used to determine serum CEA of CRC and controls. Results. A quick classifier algorithm was used to construct the peptidome patterns for identification of CRC from controls. Two of the identified peaks at m/z 741 and 7772 were used to construct peptidome patterns, achieving an accuracy close to 100% (>CEA, P<0.05). Furthermore, the peptidome patterns could differentiate validation group with high accuracy. Conclusions. These results suggest that the ClinProt Kit combined with mass spectrometry yields significantly higher accuracy for the diagnosis and differential diagnosis of CRC

Image operator learning coupled with CNN classification and its application to staff line removal

Many image transformations can be modeled by image operators that are characterized by pixel-wise local functions defined on a finite support window. In image operator learning, these functions are estimated from training data using machine learning techniques. Input size is usually a critical issue when using learning algorithms, and it limits the size of practicable windows. We propose the use of convolutional neural networks (CNNs) to overcome this limitation. The problem of removing staff-lines in music score images is chosen to evaluate the effects of window and convolutional mask sizes on the learned image operator performance. Results show that the CNN based solution outperforms previous ones obtained using conventional learning algorithms or heuristic algorithms, indicating the potential of CNNs as base classifiers in image operator learning. The implementations will be made available on the TRIOSlib project site.Comment: To appear in ICDAR 201