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How to generate edge-only minimum spanning tree in boost::graph?
The problem: generate the edge-only spanning tree which include all edges from original graph except “stub” edges, what are commonly described as bogus edges.
I am trying to find a way to generate such a spanning tree without using Boost Graph libraries (i.e. using only standard C++ with no Boost, etc…).
Here’s what I have tried to achieve it (example below).
// Generate example graph and its headers
const char *filename = “../mygraph.dot”;
auto main_ptree = pt_tree.get_child(“main”);
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An increasing number of studies suggests that weight gain is associated with decreased overall survival in patients with chronic lymphocytic leukemia (CLL) and contributes to the development of disease-related symptoms. Although weight loss is one of the predominant features of CLL, most patients do not appear to have an appetite that is decreased to the degree of body weight reduction. Given the limited number of studies available, prospective randomized controlled studies have not conclusively demonstrated that weight loss and weight gain are prognostic variables in the management of patients with CLL. However, weight loss and weight gain should be evaluated regularly in all patients. Appropriate medical, nutritional, and psychosocial interventions are warranted to promote adequate food intake and weight gain and decrease of disease-related symptoms in these patients.Q:
How to check if any element in a list is in another list in an Expression
I have an Expression> that looks like this:
MyObject obj1 = /*… */
MyObject obj2 = /*… */
MyObject obj3 = /*… */
I want to filter out a list of objects only if any element in that list is in the already created list, so I have the following code:
var filteredList =
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In addition to the living environment, the factors commonly associated with the use of PCS are age and gender of the patient \[[@CR17]\]. In this study, the mean age of patient with PCS was less than that of patients without PCS. Previous studies also found that the patients with PCS were younger than the patients without PCS \[[@CR10], [@CR13]\]. The reasons for this difference are unclear. One of the studies suggested that younger patients were more likely to use PCS because of the lower awareness of the problem and the need for more information regarding urinary incontinence \[[@CR10]\]. The proportions of female patients with and without PCS were slightly higher than those of the patients without PCS. However, the difference was not statistically significant. Previous studies have also shown that women were more likely to use PCS than men \[[@CR10], [@CR13]\].
The previous studies found that education level, knowledge about PCS, and living environment had significant influence on the use of PCS \[[@CR10], [@CR13], [@CR14]\]. In this study, the proportion of patients with a high school education was slightly higher than that of patients without PCS. The difference was statistically significant. In addition, living in an urban area was positively associated with the use of PCS. Patients living in the urban areas were more likely to use PCS than patients living in the rural areas. A previous study has shown that the use of PCS increased with decreasing socioeconomic status, which was defined as a higher percentage of patients in the lowest income quartile or educational level, a lower use of social services or health-care services, and a longer hospital stay \[[@CR26]\]. Low-income patients have a limited access to specialist healthcare due to financial concerns. This may increase the usage of PC