We introduce a new dissimilarity measure between a pair of “clonal trees”, each representing the progression and mutational heterogeneity of a tumor sample, constructed by the use of single cell or bulk high throughput sequencing data. In a clonal tree, each vertex represents a specific tumor clone, and is labeled with one or more mutations in a way that each mutation is assigned to the oldest clone that harbors it. Given two clonal trees, our multi-labeled tree dissimilarity (MLTD) measure is defined as the minimum number of mutation/label deletions, (empty) leaf deletions, and vertex (clonal) expansions, applied in any order, to convert each of the two trees to the maximum common tree. We show that the MLTD measure can be computed efficiently in polynomial time and it captures the similarity between trees of different clonal granularity well.

Permanent grasslands provide a wide array of ecosystem services. Despite this, few studies have investigated grassland carbon (C) dynamics, and especially those related to the effects of land-use changes. This study aimed to determine whether the land-use change from permanent grassland to arable lands resulted in variations in the soil C stock, and whether such variations were due to increased soil respiration or to management practices. To address this, seasonal variations of soil respiration, sensitivity of soil respiration to soil temperature (Q10), and soil C stock variations generated by land-use changes were analyzed in a temperate mountain area of central Italy. The comparisons were performed for a permanent grassland and two adjacent fields, one cultivated with lentil and the other with emmer, during the 2015 crop year. Soil respiration and its heterotrophic component showed different spatial and temporal dynamics. Annual cumulative soil respiration rates were 6.05, 5.05 and 3.99 t C ha−1 year−1 for grassland, lentil and emmer, respectively. Both soil respiration and heterotrophic soil respiration were positively correlated with soil temperature at 10 cm depth. Derived Q10 values were from 2.23 to 6.05 for soil respiration, and from 1.82 to 4.06 for heterotrophic respiration. Soil C stock at over 0.2 m in depth was 93.56, 48.74 and 46.80 t C ha−1 for grassland, lentil and emmer, respectively. The land-use changes from permanent grassland to arable land lead to depletion in terms of the soil C stock due to water soil erosion. A more general evaluation appears necessary to determine the multiple effects of this land-use change at the landscape scale.

The main purpose of this study is to provide conceptual theoretical framework with purpose to investigate effects of quality and brand image on brand loyalty of smartphone consumers in Bosnia and Herzegovina. Hypothesized relationships are to be investigated as this represents scientifically unexplored aspect of our daily lives. The methodology suggested to be used for data analysis is descriptive statistics and regression analysis in a case of quantitative approach whereby structured survey may be used as main data collection instrument. It is expected that results of this study will confirm hypothesized relationships. It is recommended for researchers to provide validation of the proposed model and investigate hypothesized relationships not only in Bosnia and Herzegovina, but also in other Western Balkan countries. The findings of this study will have implications for both scientists regarding their future scientific work, but also for practitioners in smartphones business regarding their marketing strategies.

The state estimation algorithm estimates the values of the state variables based on the measurement model described as the system of equations. Prior to applying the state estimation algorithm, the existence and uniqueness of the solution of the underlying system of equations is determined through the observability analysis. If a unique solution does not exist, the observability analysis defines observable islands and further defines an additional set of equations (measurements) needed to determine a unique solution. For the first time, we utilise factor graphs and Gaussian belief propagation algorithm to define a novel observability analysis approach. The observable islands and placement of measurements to restore observability are identified by following the evolution of variances across the iterations of the Gaussian belief propagation algorithm over the factor graph. Due to sparsity of the underlying power network, the resulting method has the linear computational complexity (assuming a constant number of iterations) making it particularly suitable for solving large-scale systems. The method can be flexibly matched to distributed computational resources, allowing for determination of observable islands and observability restoration in a distributed fashion. Finally, we discuss performances of the proposed observability analysis using power systems whose size ranges between 1354 and 70 000 buses.

The future of biomedical engineering is exciting, and prospects for biomedical engineering journals are rapidly growing. In this editorial, a brief history of Biomedical Engineering Online is outlined, along with our plans for future directions of the journal.

Production of free oxygen radicals in greater volume than it is possible for human organism to neutralize, can affect quality of sperm. Reactive oxygen species (ROS) have an effect on mobility of human spermatozoids by changing the structure of membrane and the function of mitochondria, where they are primarily generated. This can affect DNA integrity of spermatozoids and compromise their vitality. Seven male patients, in age between 27 and 44, were examined by standard semen analysis, nitroblue tetrazolium (NBT) assay and sperm vitality test based on eosin and nigrosin staining. From patients with positive NBT test, 40% of the patients had normal spermiogram results, while 60% of them had decreased sperm concentration, motility, or both of these parameters below the referent value. In 20% cases the output of eosin-nigrosin test was below 58%. The NBT test and eoisn-nigrosin test are simple, effective and available tests which can help in better diagnosis of male infertility and should be integrated in routine

To determine the efficiency of regional and local government public functions, the most used method in the empirical analysis is data envelopment analysis. This paper reviews 20 counties as part of regional government units in Croatia as well as the relationship between efficiency scores and exogenous determinants in the 2009-2016 period. The results of our analysis show that, among exogenous determinants, only the annual registered unemployed rate and annual average wage for full time jobs are statistically significant.

Patients with relapsed/refractory (R/R) chronic lymphocytic leukemia (CLL) may benefit from salvage chemoimmunotherapy (CIT). To explore further the use of CIT in the pre-novel agent era, ECOG-ACRIN undertook a phase 2 trial (E2903) for R/R CLL utilizing pentostatin, cyclophosphamide, and rituximab (PCR) followed by a consolidation course of alemtuzumab. This trial enrolled 102 patients with a median age of 64 years. Treatment consisted of 6 cycles of PCR followed by alemtuzumab for either 4 or 18 weeks depending on the initial response to PCR. The overall response after PCR (complete remission, CR, nodular partial remission, nPR, and partial remission, PR) was 55%. Major responses (CR or nPR) were achieved in 6%. The median overall survival (OS) and the median progression-free survival were 28 and 12 months, respectively. The most serious nonlethal adverse events were myelosuppression, febrile neutropenia, fatigue, nausea, and hyponatremia. PCR is an effective and well-tolerated nucleoside-based regimen for heavily pretreated CLL patients with R/R disease. The addition of alemtuzumab to CLL patients with a minor response (PR) or stable disease did not result in a significant number of higher responses (CR or nPR) nor an improvement in OS.

This paper investigates the impact of accidental release of propane gas in surrounding areas consequences of propane gas leak studying the negative effects on both the environment and individuals. Subject of the research is impact of accidental release of propane gas in in business zone “Ramići-Banja Luka”, Banja Luka. The ALOHA software has been used in this paper to modelling of propane release. The modelling was performed for an accidental release of 4,000 kg propane from unsheltered single storied for one hour. For a typical average atmospheric condition in location, this accidental propane release would cause a red zone of 101 metres (AEGL-3=33,000 ppm), orange zone of 159 metres (AEGL-2=17,000 ppm) and yellow zone of 324 metres (AEGL-1=5,500 ppm) to downwind from the source.