Row-Merged Polar Codes: Analysis, Design and Decoder Implementation

Autor: Zunker, Andreas, Geiselhart, Marvin, Johannsen, Lucas, Kestel, Claus, Brink, Stephan ten, Vogt, Timo, Wehn, Norbert

Row-merged polar codes are a family of pre-transformed polar codes (PTPCs) with little precoding overhead. Providing an improved distance spectrum over plain polar codes, they are capable to perform close to the finite-length capacity bounds. However

Externí odkaz: http://arxiv.org/abs/2312.14749

Tranexamic Acid for reduction of intra- and postoperative TRansfusion requirements in elective Abdominal surgery (TATRA): study protocol for an investigator-initiated, multicenter, double-blind, placebo-controlled, randomized superiority trial with two parallel groups

Autor: Ulrich Ronellenfitsch, Anita Kestel, Johannes Klose, Artur Rebelo, Michael Bucher, Daniel Ebert, Rafael Mikolajczyk, Andreas Wienke, Thomas Kegel, Julian Hering, Christian Haiduk, Michael Richter, Jörg Steighardt, Erich Grohmann, Lutz Otto, Jörg Kleeff

Publikováno v: Trials, Vol 25, Iss 1, Pp 1-12 (2024)

Abstract Background Intra- and postoperative hemorrhage is a relevant problem in major abdominal surgery, leading to acute anemia and necessitating transfusion of packed red blood cells. It is estimated that in 30% of abdominal surgeries, intra- or p

Externí odkaz: https://doaj.org/article/7b8f356fa8564f9d86b01a9b7cdb735d

Hydrological and pedological effects of combining Italian alder and blackberries in an agroforestry windbreak system in South Africa

Autor: S. Hoffmeister, R. Bohn Reckziegel, B. du Toit, S. K. Hassler, F. Kestel, R. Maier, J. P. Sheppard, E. Zehe

Publikováno v: Hydrology and Earth System Sciences, Vol 28, Pp 3963-3982 (2024)

The Western Cape in South Africa is a water-scarce region which will likely receive less rainfall and higher air temperatures under projected climate change scenarios. The integration of trees within agricultural systems provides an effective measure

Externí odkaz: https://doaj.org/article/bc1ade793a214734b9db62f7e87625e0

The Impact of Feature Selection and Transformation on Machine Learning Methods in Determining the Credit Scoring

Autor: Koc, Oguz, Ugur, Omur, Kestel, A. Sevtap

Publikováno v: Oguz Koc. Comparison of Machine Learning Algorithms on Consumer Credit Classification. M.Sc. Thesis, Middle East Technical University, 2019

Banks utilize credit scoring as an important indicator of financial strength and eligibility for credit. Scoring models aim to assign statistical odds or probabilities for predicting if there is a risk of nonpayment in relation to many other factors

Externí odkaz: http://arxiv.org/abs/2303.05427

Spatio-temporal variation in arthropod-plant interactions: A direct comparison of eDNA metabarcoding of tree crop flowers and digital video recordings

Autor: Joshua H. Kestel, Philip W. Bateman, David L. Field, Nicole E. White, Ben L. Phillips, Paul Nevill

Publikováno v: Ecological Indicators, Vol 169, Iss , Pp 112827- (2024)

Collating data about natural capital and the ecosystem services that underpin agricultural productivity, such as the activity of beneficial (e.g., pollinators) and antagonistic (e.g., plant pests) native and introduced arthropod taxa, is critical for

Externí odkaz: https://doaj.org/article/77ed3cc6fac74575a942b364c5399134