Predictors of quality of life in breast cancer patients under chemotherapy

Background: Today, the quality of life studies has an important role in health care especially in chronic diseases. Breast cancer has third order among women\u2032s malignancies. Now, survival rate for this cancer is long. However breast cancer has several complications that affected the patient\u2032s life. Aims : The aim of this study was to assess the quality of life in Breast cancer patients under chemotherapy. Setting and Design: A cross-sectional study conducted on 119 breast cancer patients that were admitted and treated in chemotherapy ward of Namazi hospital in Shiraz city, south of Iran, between Jan and Feb 2006. Materials and Methods: The QLQ-C30 questionnaire was used to assess quality of life in these patients. Statistical Analysis: We used univariate methods. A multiple regression analysis was performed to identify predictors of quality of life. Results: Mean age of patients was 48.27\ub111.42 with quality of life total score 64.92\ub124.28. All symptoms scales had reverse association with quality of life except appetite loss (P>0.05) and diarrhea (P=0.752). The results of the regression analyses showed that only grade of tumor, occupational status, menopausal status, financial difficulties and dyspnea were statistically significant in predicting patients\u2032 quality of life. Conclusion: In conclusion, this study demonstrates the strength of the relationship between clinical and sociodemographical factors and breast cancer patients\u2032 quality of life. Psychological and financial support for women experiencing breast cancer diagnosis may improve quality of life

Gabriel Triangulations and Angle-Monotone Graphs: Local Routing and Recognition

A geometric graph is angle-monotone if every pair of vertices has a path between them that---after some rotation---is $x$- and $y$-monotone. Angle-monotone graphs are $\sqrt 2$-spanners and they are increasing-chord graphs. Dehkordi, Frati, and Gudmundsson introduced angle-monotone graphs in 2014 and proved that Gabriel triangulations are angle-monotone graphs. We give a polynomial time algorithm to recognize angle-monotone geometric graphs. We prove that every point set has a plane geometric graph that is generalized angle-monotone---specifically, we prove that the half-$\theta_6$-graph is generalized angle-monotone. We give a local routing algorithm for Gabriel triangulations that finds a path from any vertex $s$ to any vertex $t$ whose length is within $1 + \sqrt 2$ times the Euclidean distance from $s$ to $t$. Finally, we prove some lower bounds and limits on local routing algorithms on Gabriel triangulations.Comment: Appears in the Proceedings of the 24th International Symposium on Graph Drawing and Network Visualization (GD 2016

Predictors of quality of life in breast cancer patients under chemotherapy

Background: Today, the quality of life studies has an important role in health care especially in chronic diseases. Breast cancer has third order among women′s malignancies. Now, survival rate for this cancer is long. However breast cancer has several complications that affected the patient′s life. Aims : The aim of this study was to assess the quality of life in Breast cancer patients under chemotherapy. Setting and Design: A cross-sectional study conducted on 119 breast cancer patients that were admitted and treated in chemotherapy ward of Namazi hospital in Shiraz city, south of Iran, between Jan and Feb 2006. Materials and Methods: The QLQ-C30 questionnaire was used to assess quality of life in these patients. Statistical Analysis: We used univariate methods. A multiple regression analysis was performed to identify predictors of quality of life. Results: Mean age of patients was 48.27±11.42 with quality of life total score 64.92±24.28. All symptoms scales had reverse association with quality of life except appetite loss (P>0.05) and diarrhea (P=0.752). The results of the regression analyses showed that only grade of tumor, occupational status, menopausal status, financial difficulties and dyspnea were statistically significant in predicting patients′ quality of life. Conclusion: In conclusion, this study demonstrates the strength of the relationship between clinical and sociodemographical factors and breast cancer patients′ quality of life. Psychological and financial support for women experiencing breast cancer diagnosis may improve quality of life

GiViP: A Visual Profiler for Distributed Graph Processing Systems

Analyzing large-scale graphs provides valuable insights in different application scenarios. While many graph processing systems working on top of distributed infrastructures have been proposed to deal with big graphs, the tasks of profiling and debugging their massive computations remain time consuming and error-prone. This paper presents GiViP, a visual profiler for distributed graph processing systems based on a Pregel-like computation model. GiViP captures the huge amount of messages exchanged throughout a computation and provides an interactive user interface for the visual analysis of the collected data. We show how to take advantage of GiViP to detect anomalies related to the computation and to the infrastructure, such as slow computing units and anomalous message patterns.Comment: Appears in the Proceedings of the 25th International Symposium on Graph Drawing and Network Visualization (GD 2017

On the Area Requirements of Planar Greedy Drawings of Triconnected Planar Graphs

In this paper we study the area requirements of planar greedy drawings of triconnected planar graphs. Cao, Strelzoff, and Sun exhibited a family $\cal H$ of subdivisions of triconnected plane graphs and claimed that every planar greedy drawing of the graphs in $\mathcal H$ respecting the prescribed plane embedding requires exponential area. However, we show that every $n$-vertex graph in $\cal H$ actually has a planar greedy drawing respecting the prescribed plane embedding on an $O(n)\times O(n)$ grid. This reopens the question whether triconnected planar graphs admit planar greedy drawings on a polynomial-size grid. Further, we provide evidence for a positive answer to the above question by proving that every $n$-vertex Halin graph admits a planar greedy drawing on an $O(n)\times O(n)$ grid. Both such results are obtained by actually constructing drawings that are convex and angle-monotone. Finally, we consider $\alpha$-Schnyder drawings, which are angle-monotone and hence greedy if $\alpha\leq 30^\circ$, and show that there exist planar triangulations for which every $\alpha$-Schnyder drawing with a fixed $\alpha<60^\circ$ requires exponential area for any resolution rule

Using Data Reduction Methods To Predict Quality Of Life In Brest Cancer Patients

Background: Quality of life study has an important role in health care especially in chronic diseases, in clinical judgment and in medical resources supplying. Statistical tools like linear regression are widely used to assess the predictors of quality of life. But usually existed a lot of factor cause difficulty for fitting the models and predicting. In statistical method there are different methods of data reduction that recommended. Methods: A cross-sectional study conducted on 119 breast cancer patients that admitted and treated in chemotherapy ward of Namazi hospital in Shiraz. QLQ-C30 questionnaire was used to assessment quality of life in these patients. Principal component analyzing and factor analyzing are tow statistical method of data reduction was used for reducing the number of predictors. Results: The mean score for the global health status for breast cancer patients was 64.92±11.42. univariate Linear regression showed that only role function, social function and diarrhea were not significant. Principal component analyzing and factor analyzing, consider all of 14 factors to 7 component and 7 factors. According to adjusted R square model fitting with reducing predictors were better than model fitting withinitial predictors. Conclusion: when there are a lot of factors existed in a model, use different method of data reduction causing better and easier model fitting and predictin