Charakterisierung des Metaboloms von Lebensmitteln mit Surrogate Minimal Depth

2021 ◽  
Vol 75 (S2) ◽  
Author(s):  
S. Wenck ◽  
M. Creydt ◽  
M. Fischer ◽  
S. Seifert
Keyword(s):  
Minimal Depth

Lung Decortication With Argon Plasma Energy for the Treatment of Chronic Pleural Empyema

2021 ◽  
pp. 155698452110111
Author(s):  
Savvas Lampridis ◽  
Sofoklis Mitsos ◽  
David R. Lawrence ◽  
Nikolaos Panagiotopoulos
Keyword(s):  
Energy Source ◽  
Surgical Management ◽  
Argon Plasma ◽  
Pleural Empyema ◽  
Controlled Trials ◽  
Air Leak ◽  
Pulmonary Tissue ◽  
Pure Argon ◽  
Plasma Energy ◽  
Minimal Depth

Lung decortication for the treatment of chronic pleural empyema remains a technically challenging procedure that is associated with bleeding and air leak. The recent advent of pure argon plasma has provided thoracic surgeons with an electrically neutral energy source for dissection and coagulation of pulmonary tissue with minimal depth of necrosis. In this article, we describe the technique of lung decortication with argon plasma energy (PlasmaJet, Plasma Surgical, Roswell, GA, USA) for the treatment of chronic pleural empyema. With appropriate application, the PlasmaJet can facilitate the removal of fibrous cortex with satisfactory hemostasis and aerostasis. Argon plasma energy can potentially be a useful adjunct in lung decortication. Controlled trials are needed to determine its role in the surgical management of advanced pleural empyema.

scholarly journals Surrogate minimal depth as an importance measure for variables in random forests

2019 ◽  
Vol 35 (19) ◽  
pp. 3663-3671 ◽  
Author(s):  
Stephan Seifert ◽  
Sven Gundlach ◽  
Silke Szymczak
Keyword(s):  
Variable Selection ◽  
Supplementary Information ◽  
Predictor Variables ◽  
Importance Measure ◽  
Surrogate Variables ◽  
Machine Learning Approach ◽  
Complex Relationships ◽  
Minimal Depth ◽  
Insight Into ◽  
Causal Variables

Abstract Motivation It has been shown that the machine learning approach random forest can be successfully applied to omics data, such as gene expression data, for classification or regression and to select variables that are important for prediction. However, the complex relationships between predictor variables, in particular between causal predictor variables, make the interpretation of currently applied variable selection techniques difficult. Results Here we propose a new variable selection approach called surrogate minimal depth (SMD) that incorporates surrogate variables into the concept of minimal depth (MD) variable importance. Applying SMD, we show that simulated correlation patterns can be reconstructed and that the increased consideration of variable relationships improves variable selection. When compared with existing state-of-the-art methods and MD, SMD has higher empirical power to identify causal variables while the resulting variable lists are equally stable. In conclusion, SMD is a promising approach to get more insight into the complex interplay of predictor variables and outcome in a high-dimensional data setting. Availability and implementation https://github.com/StephanSeifert/SurrogateMinimalDepth. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals Development of random forest model as decision support tool in water resources management of Ogun headwater catchments

2021 ◽  
Vol 11 (7) ◽  
Author(s):  
O. O. Aiyelokun ◽  
O. A. Agbede
Keyword(s):  
Random Forest ◽  
Water Resources ◽  
Potential Evapotranspiration ◽  
Decision Support Tool ◽  
Maximum Temperature ◽  
Computational Technique ◽  
Percentage Increase ◽  
Support Tool ◽  
Headwater Catchments ◽  
Minimal Depth

AbstractWater resources cannot be effectively managed unless potential evapotranspiration is determined with high accuracy at headwater catchments. The study presents the most suitable feature combinations for building a reliable potential evapotranspiration (PET) model in the headwater catchments of Ogun River Basin, Southwest Nigeria. Using rainfall (R), wind speed (U2), sunshine hour (S), relative humidity (Rh), minimum temperature (Tmin) and maximum temperature (Tmax) as input features, a Random Forest (RF) model was developed to predict PET. Although the model yielded satisfactory results, it was subjected to the minimal depth and percentage increase in mean square error (%IncMSE). This was done to reduce the input features and to increase model accuracy. Thereafter various combinations of important input features were examined in order to establish the best combinations required to yield optimum results. The study revealed that although Tmax (%IncMSE of 652.09, p value < 0.05) and Rh (%IncMSE of 254.36, p value < 0.05) were the most important predictors of PET, a more reliable RF model was achieved when S and U2 were combined with them. Consequently, this study presents RF with a combination of four parameters (Tmax, Rh, S and U2) as an excellent computational technique for the prediction of PET in headwater catchments.

scholarly journals Bitonic sorters of minimal depth

2011 ◽  
Vol 412 (22) ◽  
pp. 2282-2295
Author(s):  
Tamir Levi ◽  
Ami Litman
Keyword(s):  
Minimal Depth

scholarly journals PrimerPooler: automated primer pooling to prepare library for targeted sequencing

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Silas S. Brown ◽  
Yun-Wen Chen ◽  
Ming Wang ◽  
Alexandra Clipson ◽  
Eguzkine Ochoa ◽  
...  
Keyword(s):  
Variant Calling ◽  
Pcr Amplification ◽  
Illumina Miseq ◽  
Degenerate Primers ◽  
Cross Hybridization ◽  
Targeted Next Generation Sequencing ◽  
Target Sequencing ◽  
A Genome ◽  
Experimental Protocols ◽  
Minimal Depth

Abstract Targeted next-generation sequencing based on PCR amplification involves pooling of hundreds to thousands of primers, for preamplification and subsequent parallel single/multiplex PCR. It is often necessary to allocate the set of primers into subpools, a common issue being potential cross-hybridization. For smaller numbers of primers, pool division can be done manually using trial and error to minimize potential hybridization, but this becomes inefficient and time consuming with increasing numbers of primer pairs. We developed PrimerPooler that automates swapping of primer pairs between any user-defined number of subpools to obtain combinations with low-potential interactions. PrimerPooler performs inter-/intra-primer hybridization analysis to identify the adverse interactions, as well as simultaneous mapping of all primers onto a genome sequence in a single run without requiring a prior index of the genome. This allows detection of overlapping primer pairs and allocation of these primer pairs into separate subpools where tiling approaches are used. Using PrimerPooler, 1153 primer pairs were assigned to three preamplification pools (388, 389 and 376 primer pairs each), then 144 subpools of six- to nine-plex PCR for Fluidigm Access Array PCR, followed by Illumina MiSeq sequencing. With optimized experimental protocols, an average of 3269 reads was achieved for the targeted regions, with 95% of targets covered by at least 50 reads, the minimal depth of reads for confident variant calling. PrimerPooler provides a fast and highly efficient stratification of primer pairs for targeted enrichment, thus ensuring representative amplification of the targeted sequences. PrimerPooler is also able to analyse degenerate primers, and is thus also useful for microbiological identification and related target sequencing.

Submersion with grommets: Contamination is possible at minimal depth with a novel middle ear model

2022 ◽  
pp. 1-14
Author(s):  
Eric Farrell ◽  
Adrien Gendre ◽  
Laura Viani ◽  
Fergal Glynn ◽  
Peter Walshe
Keyword(s):  
Middle Ear ◽  
Minimal Depth

scholarly journals Quantum computation of silicon electronic band structure

2020 ◽  
Vol 22 (38) ◽  
pp. 21816-21822
Author(s):  
Frank T. Cerasoli ◽  
Kyle Sherbert ◽  
Jagoda Sławińska ◽  
Marco Buongiorno Nardelli
Keyword(s):  
Band Structure ◽  
Quantum Computation ◽  
Electronic Band Structure ◽  
Electronic Band ◽  
Minimal Depth ◽  
First Time

We present minimal depth circuits implementing the variational quantum eigensolver algorithm and successfully use it to compute the band structure of silicon on a quantum machine for the first time.

scholarly journals Monomial ideals of minimal depth

2013 ◽  
Vol 21 (3) ◽  
pp. 147-154
Author(s):  
Muhammad Ishaq
Keyword(s):  
Polynomial Algebra ◽  
Monomial Ideal ◽  
Monomial Ideals ◽  
Lexsegment Ideals ◽  
Minimal Depth ◽  
Algebra Over A Field

Abstract Let S be a polynomial algebra over a field. We study classes of monomial ideals (as for example lexsegment ideals) of S having minimal depth. In particular, Stanley's conjecture holds for these ideals. Also we show that if I is a monomial ideal with Ass(S/I) = {P1, P2, ..., Ps} and Pi ⊄ ∑s1=j≠i Pj for all i ∊ [s], then Stanley’s conjecture holds for S/I.

scholarly journals Analysis Grounding System as Building Equipment Security Udayana University Denpasar

2017 ◽  
Vol 1 (2) ◽  
pp. 9
Author(s):  
I G. N. Janardana ◽  
W. Arta Wijaya ◽  
Cok Gede Indra Partha ◽  
N. Budiastra
Keyword(s):  
Electrode Diameter ◽  
Soil Resistivity ◽  
Grounding System ◽  
Ground Resistance ◽  
System Type ◽  
Measurement Results ◽  
Installation Depth ◽  
Minimal Depth ◽  
Resistance Value

Grounding system is one of the components in building equipment security. To fulfill the operational continuity of electronic equipment in Faculty of Engineering, Udayana University, Denpasar, a grounding system with a ground resistance of ? 3 ohms is required to be installed. The aim of this study is to find out the characteristics of grounding system to secure the equipment in the building around the research location, with ground resistance of ? 3 ohms and it is expected to be beneficial to use as a reference in grounding system installation as well as.  According to the measurement results at the research location, it is found that the soil resistance value is equal to 0.23 ohms, where the soil resistivity (?) is 28.89 Ohm-meters. There are some results analysis obtained in ground resistance value of ? 3 Ohm. Those are 1) grounding system type 1 rod where minimal depth installation of the electrode is 14 meters with ground resistance value of 2.6751 ohms; 2) grounding system type two rod with s < L, it is obtained that each depth is 8 meters with distance of 2 meters between electrodes, where the ground resistance value is 2.4940 ohms. In the installation of two electrodes with s > L, it is gained that the depth of each electrode is 6 meters where the distance between the electrodes is 8 meters and the ground resistance value is 2.8718 ohms. By applying the plates type grounding system with 3 meters in length, 1 meter in width, and 2 meters in installation depth is gained 2.8431 ohms ground resistance value. Furthermore, by applying grid type grounding system with 2 meters in length h = 2,5 meters in depth, A = 4 meters in width and the total length of the electrode diameter 1 cm is 504 meters, it is obtained 2.0978 ohms ground resistance value.

Sign in / Sign up

Export Citation Format

Share Document