Results 51 to 60 of about 2,341,333 (275)

Genetic Variation and Phylogeographic Analysis of Native Chicken Populations in Myanmar and Thailand

The Journal of Poultry Science, 2012
Native chickens in Myanmar and Thailand have been being domesticated for generations and yielded a wide variety of chickens. The objective of the research is to analyze the genetic variation and relationships of native chicken populations in Myanmar and
Riztyan, Takao Nishida, Worawut Rerkamnuaychoke, Takeshi Shimogiri, Aye Aye Maw, Kotaro Kawabe, Yasuhiro Kawamoto, Shin Okamoto   +7 more
doaj   +1 more source

Trends to equilibrium for a class of relativistic diffusions

, 2011
We address the question of the trends to equilibrium for a large class C of relativistic diffusions. We show the existence of a spectral gap using the Lyapounov method and deduce the exponential decay of the distance to equilibrium in L2-norm and in ...
Ané C., Jürgen Angst
core   +3 more sources

Feasibility and Safety of High‐Dose Proton Re‐Irradiation in Recurrent Pediatric Central Nervous System Tumors: A Single‐Institution Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song, Jonathan Baron, Carlos Chavez Perez, Sidharth Ramesh, Jane Minturn, Kavita A. Desai, Amish C. Shah, Jean M. Belasco, Kristina A. Cole, Michael J. Fisher, Phillip B. Storm, Peter M. Madsen, Goldie Kurtz, Robert A. Lustig, Christine Hill‐Kayser, Michael J. LaRiviere   +15 more
wiley   +1 more source

GUARANTEED DETERMINISTIC BOUNDS ON THE TOTAL VARIATION DISTANCE BETWEEN UNIVARIATE MIXTURES [PDF]

2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), 2018
The total variation distance is a core statistical distance between probability measures that satisfies the metric axioms, with value always falling in $[0,1]$. This distance plays a fundamental role in machine learning and signal processing: It is a member of the broader class of $f$-divergences, and it is related to the probability of error in ...
Frank Nielsen, Ke Sun 0001
openaire   +2 more sources

Feasibility and Preliminary Efficacy of Integrative Neuromuscular Training for Childhood Cancer Survivors: A Pilot Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of childhood acute lymphoblastic leukemia (ALL) often exhibit early deficits in muscle and movement competence, which can compromise long‐term health. Integrative neuromuscular training (INT), a multifaceted approach combining fundamental movement activities with strength exercises, may help address these deficits during ...
Anna Maria Markarian, Robert U. Newton, Dennis R. Taaffe, Nicholas G. Gottardo, Santosh Valvi, Carolyn J. Peddle‐McIntyre, Jodie Cochrane Wilkie, Daniel A. Galvão   +7 more
wiley   +1 more source

Out-of-Distribution Detection With Overlap Index

IEEE Access
Out-of-distribution detection is crucial for the deployment of machine learning models in the open world. Although existing out-of-distribution detectors are effective in identifying out-of-distribution samples that deviate significantly from in ...
Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami   +3 more
doaj   +1 more source

Cluster and principal component analyses for assessment of genetic diversity in Saccharum spontaneum

Journal of Sugarcane Research, 2023
Forty three Saccharum spontaneum accessions were evaluated using eighteen drought tolerance related traits. The Euclidean based dendrogram divided the accessions into three different clusters. Euclidean distances ranged from 7.65 to 140.23.
Vinu V, Lakshmi Pathy T, Adhini S Pazhany, Karthigeyan S   +3 more
doaj   +1 more source

The total variation distance between high-dimensional Gaussians

, 2020
We prove a lower bound and an upper bound for the total variation distance between two high-dimensional Gaussians, which are within a constant factor of one another.Comment: 12 ...
Devroye, Luc, Mehrabian, Abbas, Reddad, Tommy   +2 more
core  

Approximation of Markov semigroups in total variation distance

Electronic Journal of Probability, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bally, Vlad, Rey, Clément
openaire   +5 more sources

Time series clustering using the total variation distance with applications in oceanography [PDF]

Environmetrics, 2016
A clustering procedure for time series based on the use of the total variation distance between normalized spectral densities is proposed in this work. The approach is thus based on classifying time series in the frequency domain by consideration of the similarity between their oscillatory characteristics.
Álvarez Esteban, Pedro César, Euán, C., Ortega, J.   +2 more
openaire   +4 more sources