Results 71 to 80 of about 3,141,344 (325)

Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky, Cara Joyce, H. Jeremy Bockholt, Paul A. Rudnick, William H. Adams, Fiona McAllister, Justin W. Smock, Michael A. Newton, Jane S. Paulsen   +8 more
wiley   +1 more source

Minimum entropy production principle from a dynamical fluctuation law

, 2006
The minimum entropy production principle provides an approximative variational characterization of close-to-equilibrium stationary states, both for macroscopic systems and for stochastic models. Analyzing the fluctuations of the empirical distribution of
Christian Maes, de Groot S. R., Demboo A., den Hollander F., Deuschel J.-D., Karel Netočný, Prigogine I.   +6 more
core   +1 more source

Spectrum sensing using empirical mode decomposition and relative entropy

2013 21st Signal Processing and Communications Applications Conference (SIU), 2013
Recently, as many new wireless services emerge, number of the users needing to access the limited frequency spectrum is increased. This brings the need for improvements on efficient spectrum utilization. Cognitive Radio (CR) is proposed as a solution to this problem. Spectrum sensing is an essential component of CR to increase spectrum usage efficiency.
Bektas, Cengiz, Akan, Aydin, Kent, Sedef, Baykut, Suleyman   +3 more
openaire   +2 more sources

Noise Reduction Method of Underwater Acoustic Signals Based on Uniform Phase Empirical Mode Decomposition, Amplitude-Aware Permutation Entropy, and Pearson Correlation Coefficient

Entropy, 2018
Noise reduction of underwater acoustic signals is of great significance in the fields of military and ocean exploration. Based on the adaptive decomposition characteristic of uniform phase empirical mode decomposition (UPEMD), a noise reduction method ...
Guohui Li, Zhichao Yang, Hong Yang
semanticscholar   +1 more source

Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt, Marius Ygonia, Ali Manouchehrinia, Philippe Lefrançois, Ingrid Kockum, Adil Harroud   +5 more
wiley   +1 more source

Analysis of EEG via Multivariate Empirical Mode Decomposition for Depth of Anesthesia Based on Sample Entropy

Entropy, 2013
In monitoring the depth of anesthesia (DOA), the electroencephalography (EEG) signals of patients have been utilized during surgeries to diagnose their level of consciousness.
Jiann-Shing Shieh, Maysam F. Abbod, Tzu-Yu Lin, Cheng-Wei Lu, Shou-Zhen Fan, Qin Wei, Quan Liu   +6 more
doaj   +1 more source

Semi-Empirical Model of Droplet Size Distribution From the Maximum Entropy Principle in Sodium Spray

Frontiers in Energy Research, 2022
When a sodium leakage accident occurs in the sodium-cooled fast reactor, the leaked sodium reacts violently with the air in the form of droplets, resulting in the phenomenon of sodium spray fire.
Wenbin Zou, Zhenyu Zou, Lili Tong, Cheng Peng   +3 more
doaj   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Entanglement Entropy, decoherence, and quantum phase transition of a dissipative two-level system

, 2008
The concept of entanglement entropy appears in multiple contexts, from black hole physics to quantum information theory, where it measures the entanglement of quantum states. We investigate the entanglement entropy in a simple model, the spin-boson model,
Anderson, Anderson, Bennett, Blume, Bombelli, Bray, Brukner, Bulla, Bulla, Calabrese, Caldeira, Cedraschi, Cedraschi, Chakravarty, Costi, Costi, Dicke, Dupont, Dyson, Emary, Fendley, Fendley, Filyov, Fradkin, Ghosh, Glossop, Guinea, Görlich, Holstein, Holzhey, Ingersent, Jaynes, Jordan, K. Le Hur, Kitaev, Klich, Kopp, Kopp, Kosterlitz, Lambert, Le Hur, Le Hur, Le Hur, Lebowitz, Leggett, Lehnert, Lesage, Levin, Li, Makhlin, Mehta, Nazarov, Osborne, Osborne, Osterloh, Pankov, Ponomarenko, Recati, Refael, Rimberg, Ryu, Sachdev, Sachdev, Sorensen, Tong, Toulouse, Vedral, Verstaete, Vidal, Vidal, Vidal, Vojta, Vojta, von Neumann, Wehrl, Weiss, Werner, Young   +77 more
core   +2 more sources

Partial Discharge Feature Extraction Based on Ensemble Empirical Mode Decomposition and Sample Entropy

Entropy, 2017
Partial Discharge (PD) pattern recognition plays an important part in electrical equipment fault diagnosis and maintenance. Feature extraction could greatly affect recognition results.
Haikun Shang, K. Lo, Feng Li
semanticscholar   +1 more source