Results 61 to 70 of about 10,097,276 (285)

Eddies: Fluid Dynamical Niches or Transporters?–A Case Study in the Western Baltic Sea

open access: yesFrontiers in Marine Science, 2019
Fluid flows in the ocean have a strong impact on the growth and distribution of planktonic communities. In this case study, we applied a Lagrangian eddy detection and tracking tool and a transfer operator approach to data from a coupled hydrodynamical ...
Rahel Vortmeyer-Kley   +5 more
doaj   +1 more source

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye   +33 more
wiley   +1 more source

A real-time statistical time-series analyzer [PDF]

open access: yes, 1971
Device extracts average frequency of human speech and produces second, third, and fourth moments of instantaneous frequency about this average. It operates on electrical time representation of input signal, performs statistical analysis on zero-crossing ...
Stewart, C. H.
core   +1 more source

Optimizing Convolutional Neural Network Architectures

open access: yesMathematics
Convolutional neural networks (CNNs) are commonly employed for demanding applications, such as speech recognition, natural language processing, and computer vision.
Luis Balderas   +2 more
doaj   +1 more source

Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction

open access: yesSensors, 2021
A wide range of applications based on sequential data, named time series, have become increasingly popular in recent years, mainly those based on the Internet of Things (IoT).
Ricardo Petri Silva   +3 more
doaj   +1 more source

Experience With Performing Rheocarna Therapy via the Single‐Needle Method for Treatment of Chronic Limb‐Threatening Ischemia

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi   +9 more
wiley   +1 more source

Modelling High-frequency Economic Time Series

open access: yes, 2000
The minute-by-minute move of the Hang Seng Index (HSI) data over a four-year period is analysed and shown to possess similar statistical features as those of other markets. Based on a mathematical theorem [S. B. Pope and E. S. C. Ching, Phys.
Bollerslev   +12 more
core   +2 more sources

An Efficient Green AI Approach to Time Series Forecasting Based on Deep Learning

open access: yesBig Data and Cognitive Computing
Time series forecasting is undoubtedly a key area in machine learning due to the numerous fields where it is crucial to estimate future data points of sequences based on a set of previously observed values.
Luis Balderas   +2 more
doaj   +1 more source

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

open access: yesFEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva   +5 more
wiley   +1 more source

Constrained randomization of time series data

open access: yes, 1998
A new method is introduced to create artificial time sequences that fulfil given constraints but are random otherwise. Constraints are usually derived from a measured signal for which surrogate data are to be generated. They are fulfilled by minimizing a
Schreiber, Thomas
core   +1 more source

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