Results 21 to 30 of about 75,602 (180)

Volatility analysis and forecasting of vegetable prices using an ARMA‐GARCH model: An application of the CF filter and seasonal adjustment method to Korean green onions

Agribusiness, EarlyView.
Abstract The vegetable market experiences significant price fluctuations due to the complex interplay of trend, cyclical, seasonal, and irregular factors. This study takes Korean green onions as an example and employs the Christiano–Fitzgerald filter and the CensusX‐13 seasonal adjustment methods to decompose its price into four components: trend ...
Yiyang Qiao, Byeong‐il Ahn
wiley   +1 more source

Significance of Self‐Expandable Metallic Stent for Postoperative Intra‐Abdominal Infection After Pancreatoduodenectomy in Patients With a Hard Pancreas

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Self‐expandable metal stents (SEMS) are often used for preoperative biliary drainage in pancreatoduodenectomy (PD); however, their impact on postoperative intra‐abdominal infection (POAI) remains unclear. This study aimed to evaluate the clinical significance of SEMS in relation to POAI.
Kosuke Mori, Haruyoshi Tanaka, Nana Kimura, Mina Fukasawa, Ayaka Itoh, Yoshihiro Shirai, Kazuto Shibuya, Kentaro Nagaoka, Yoshihiro Yamamoto, Tsutomu Fujii   +9 more
wiley   +1 more source

Direct Feedback Alignment with Sparse Connections for Local Learning [PDF]

, 2019
Recent advances in deep neural networks (DNNs) owe their success to training algorithms that use backpropagation and gradient-descent. Backpropagation, while highly effective on von Neumann architectures, becomes inefficient when scaling to large ...
Crafton, Brian, Gebhardt, Evan, Parihar, Abhinav, Raychowdhury, Arijit   +3 more
core   +2 more sources

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

Advanced Intelligent Systems, EarlyView.
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi   +4 more
wiley   +1 more source

Detrended fluctuation analysis for fractals and multifractals in higher dimensions

, 2006
One-dimensional detrended fluctuation analysis (1D DFA) and multifractal detrended fluctuation analysis (1D MF-DFA) are widely used in the scaling analysis of fractal and multifractal time series because of being accurate and easy to implement.
B. B. Mandelbrot, D. Maraun, E. Alessio, Gao-Feng Gu, H. E. Hurst, J. W. Kantelhardt, M. Holschneider, P. Grassberger, Wei-Xing Zhou   +8 more
core   +1 more source

Quantifying signals with power-law correlations: A comparative study of detrended fluctuation analysis and detrended moving average techniques [PDF]

, 2005
Detrended fluctuation analysis (DFA) and detrended moving average (DMA) are two scaling analysis methods designed to quantify correlations in noisy non-stationary signals.
A. Carbone, A. Carbone, C. Matsoukas, D. Q. Cai, E. Alessio, H. E. Hurst, K. Kwon, M. Cernelc, N. Iyengar, R. L. Stratonovich, S. M. Pikkujamsa, S. Talluri   +11 more
core   +1 more source

Rüdin's Unpublished Family Study From the Early 1920s: “On the Inheritance of Manic‐Depressive Insanity”

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT Ernst Rüdin, an important and controversial figure in the history of psychiatric genetics, published only one major empirical study on siblings of dementia praecox (DP) probands in 1916. He conducted a parallel study of siblings of probands with manic‐depressive insanity (MDI), but the resulting monograph, written in the early 1920s, was left ...
Kenneth S. Kendler, Astrid Klee
wiley   +1 more source

A maximum likelihood based technique for validating detrended fluctuation analysis (ML-DFA) [PDF]

, 2013
Detrended Fluctuation Analysis (DFA) is widely used to assess the presence of long-range temporal correlations in time series. Signals with long-range temporal correlations are typically defined as having a power law decay in their autocorrelation ...
Berthouze, Luc, Botcharova, Maria, Farmer, Simon F   +2 more
core   +1 more source

Tag-DFA for Improved DFA Compression in Deep Packet Inspection

Procedia Engineering, 2012
AbstractDeterministic Finite Automatons (DFAs) are widely used to perform regular expression based pattern matching for network security. Most of DFA compression algorithms consider only one type of redundant information in DFA. After a comprehensive analysis of different redundancies in DFA structure, we summarize four types of redundancies with large
Zhou, Yachao, Tang, Yi, Wang, Xiaojun
openaire   +1 more source

Computing matching statistics on Wheeler DFAs

2023 Data Compression Conference (DCC), 2023
Matching statistics were introduced to solve the approximate string matching problem, which is a recurrent subroutine in bioinformatics applications. In 2010, Ohlebusch et al. [SPIRE 2010] proposed a time and space efficient algorithm for computing matching statistics which relies on some components of a compressed suffix tree - notably, the longest ...
Conte A., Cotumaccio N., Gagie T., Manzini G., Prezza N., Sciortino M.   +5 more
openaire   +6 more sources