150 research outputs found
sj-docx-2-tct-10.1177_15330338221106855 - Supplemental material for TJP1, a Membrane-Expressed Protein, is a Potential Therapeutic and Prognostic Target for Lung Cancer
Supplemental material, sj-docx-2-tct-10.1177_15330338221106855 for TJP1, a Membrane-Expressed Protein, is a Potential Therapeutic and Prognostic Target for Lung Cancer by Junyi Pu, Tao Ai, Weining Weng, Lijun Wang, Yuan Yang, Linjie Ma, Zhiping Hu, and Xun Meng in Technology in Cancer Research & Treatment</p
sj-docx-1-tct-10.1177_15330338221106855 - Supplemental material for TJP1, a Membrane-Expressed Protein, is a Potential Therapeutic and Prognostic Target for Lung Cancer
Supplemental material, sj-docx-1-tct-10.1177_15330338221106855 for TJP1, a Membrane-Expressed Protein, is a Potential Therapeutic and Prognostic Target for Lung Cancer by Junyi Pu, Tao Ai, Weining Weng, Lijun Wang, Yuan Yang, Linjie Ma, Zhiping Hu, and Xun Meng in Technology in Cancer Research & Treatment</p
Optimizing queries for coarse grain parallelism
We consider the problem of optimizing select-project-join relational queries for minimum response time on parallel machines. The design of the optimizer is based on three ideas: (1) the concept and quantification of degree of coarse grain parallelism for an execution tree, (2) the design of a parallelizing scheduler for a tree of coarse grain operations which is provably near optimal, and (3) the analysis of the scheduling algorithm to obtain a cost formula for parallel execution time. The search algorithm of the optimizer is presented as a multi-dimensional dynamic programming algorithm. We present two three- dimensional search algorithms for the case when placement of relations in the parallel machine do not overlap. We propose the tree placement strategy and demonstrate, by means of examples, how the number of dimensions in the search can be significantly reduced, thereby increasing the efficiency of the search algorithm.Technical report lcsr-tr-21
Table1_Evaluation of heavy metal contamination of soil and the health risks in four potato-producing areas.DOCX
Areas polluted by heavy metals in soil may pose a major risk to human health and ecological environment safety. In this study, 89 soil samples were collected from four potato producing areas (Libo, Chishui, Panxian and Weining) in Guizhou Province, China, and the concentrations of 9 soil heavy metals were analyzed and measured. The aims of this study was to evaluate the human health risk and pollution index of heavy metals in the soil of some potato-producing areas in Guizhou Province by using the geoaccumulation index method, pollution load index method and health risk assessment method. The results revealed that Igeo0 in Panxian except Pb, The Igeo of As and Sb were less than 0 in Weining, and other elements were polluted to varying degrees. The pollution load index is Panxian (1.47) > Weining (1.39) > Libo (0.67), Chishui (0.67), Libo and Chishui were generally no polluted, soils in Panxian and Weining were polluted. The health risks of potatoes through food ingestion are less than 1. In terms of carcinogenesis, the risk of human in each study area through the ingestion was Cr > As > Cd. Cr and As would be produced certain carcinogenic risk to human through the dermal contact. Cr had a strong carcinogenic risk to adults through the inhalation. In terms of non-carcinogenesis, children in each study area had a strong risk under the each pathways. The risk of carcinogenesis in adults through inhalation pathway is greater than that in children, and the risk of carcinogenesis and non-carcinogenesis in children through Ingestion and dermal contact pathway is greater than adults. The results of this study suggest that attention should be paid to the remediation of heavy metals in contaminated soil to protect human health.</p
NAIRU estimation of 28 EU-member states
The non-accelerating inflation rate of unemployment (NAIRU) is an unemployment rate or range of unemployment rates that produces a stable rate of inflation. NAIRU is usually difficult to estimate since it is a hidden variable. In this thesis, the author allows time-varying NAIRU, and uses a structural model with forward and backward looking Phillips curves to estimate the output gap and unemployment gap. The author finds that in general, the negative relations between unemployment gap and inflation rate are significant across EU-member states. This method of capturing the relationship between unemployment and inflation is better than that of King and Watson’s, implied by the indicators of Pearson’s correlations, and also because of the potential ability of using our method to predict near future inflation rate
Subgraph Convolutional Network for Recommendation
Nowadays recommendation systems play an important role in our lives, which help users to quickly identify their desirable items. The networking trend for world (i.e., every sector of our world can be networked) has made the recommendation systems one of the intensively studied research areas in the last decades. In this paper, we formulate a graph-based recommendation problem, which aims to find the most relevant nodes for a given set of query nodes in the graph. For graph embedding, Graph Convolutional Network (GCN), which aggregates neighbor information via convolution layers, is an effective model. However, a convolution layer in a GCN only considers unstructured information, i.e., it takes single nodes as input and only leverages the first-order neighbor information, so only limited local information can be learned. To overcome the mentioned limitations, we develop a Subgraph Convolutional Network (SCN) model which aggregates both neighbor node information and structural information via convolution layers. Moreover, the fully connected layer based link prediction is integrated for effective recommendations. The experimental results on real-world datasets verify the effectiveness of our solution.<br/
A new modification of the chiron ACS assay for total prostate-specific antigen achieves equimolar response characteristics and improves the detection of prostate cancer
Nonequimolar-response assays for prostate-specific antigen (PSA) are criticized for overestimating total PSA in some men without prostate cancer (PCA), and underestimating total PSA in some men with PCA. We recently studied three nonequimolar-response PSA assays that had undergone modifications. While two of the studied assays achieved equimolar-response characteristics with improved areas under receiver operating characteristic (ROC) curves (AUC), the modification of the Chiron ACS PSA assay (ACS PSA2, Chiron) failed to achieve this. Recently, the ACS assay underwent another modification (ACS PSA, Bayer), which we investigated. Sera from 305 men (155 without and 150 with PCA, PSA greater than or equal to2 and less than or equal to30 mug/l, TandemE) were measured using both modifications of the ACS assay and equimolar-response reference methods (TandemR free and Tandem E, Hybritech). Molar response relative to the reference method and clinical performance (comparison of AUCs) between the previous and new ACS assay modifications were studied. The new modification of the ACS assay (ACS PSA, Bayer) achieved equimolar-response characteristics but reported lower values (average 10%) than the Tandem E assay. Compared to the previous modification (ACS PSA2, Chiron), a 3% improvement in AUC (p=0.01) was found. Using results of the redesigned equimolar-response assay (ACS PSA, Bayer), we calculated that 6 of 155 men without PCA in this sample set could be spared unnecessary biopsy compared with the previous nonequimolar-response assay (ACS PSA2, Chiron) without missing additional PCA (90% sensitivity). These data provide additional evidence for clinical advantages of equimolar-response over nonequimolar-response PSA assay formats
Learning Goals and Styles by Gender -- A Study of NUS Students
This newsletter, from the National University of Singapore, contains an article discussing whether men and women learn differently. The author surveyed students on how they felt about goals that "drive one to master a topic and learn it well," encourage them to get good grades, and motivate one to study in order to obtain acceptance by one's community.This study found that women were more socially motivated in their approach to academics. Women preferred working with peers and looked for social recognition. Â
Interactive acquisition of knowledge of objects
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