Results 61 to 70 of about 325,444 (301)

The practical application of fractal dimension in water treatment practice-the impact of polymer dosing [PDF]

open access: yes, 2008
The application of floc fractal dimension has been investigated in this work to determine if this parameter can have operational significance in water treatment.
Jefferson, Bruce   +4 more
core   +1 more source

Analyzing Social Capital Factor for Agrotourism Development: A Case Study of Tambakbaya Village, Banten Province

open access: yesJournal of Natural Resources and Environmental Management
Research on social capital in tourism development has been widely conducted using various approaches. This study examines the social capital of the Tambakbaya Village community to support the development of Sukabungah Agrotourism. Using a survey method,
Sulastri Nainggolan   +2 more
doaj   +1 more source

Performance Boosting of Scale and Rotation Invariant Human Activity Recognition (HAR) with LSTM Networks Using Low Dimensional 3D Posture Data in Egocentric Coordinates

open access: yesApplied Sciences, 2020
Human activity recognition (HAR) has been an active area in computer vision with a broad range of applications, such as education, security surveillance, and healthcare. HAR is a general time series classification problem.
Ibrahim Furkan Ince
doaj   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

open access: yesFEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe   +3 more
wiley   +1 more source

Some statistical methods for dimension reduction [PDF]

open access: yes, 2013
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityThe aim of the work in this thesis is to carry out dimension reduction (DR) for high dimensional (HD) data by using statistical methods for variable ...
Al-Kenani, Ali J Kadhim
core  

Tensor sufficient dimension reduction [PDF]

open access: yesWIREs Computational Statistics, 2015
Tensor is a multiway array. With the rapid development of science and technology in the past decades, large amount of tensor observations are routinely collected, processed, and stored in many scientific researches and commercial activities nowadays. The colorimetric sensor array (CSA) data is such an example.
Zhong, Wenxuan   +2 more
openaire   +3 more sources

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

open access: yesFEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li   +2 more
wiley   +1 more source

A note on structural adaptive dimension reduction

open access: yes, 2009
The paper introduces and discusses different estimation methods for multi-index models where the indices are parametric and the link function is nonparametric. We provide a new algorithm that extends the ideas of Hristache and colleagues by an additional
Polzehl, Joerg   +3 more
core   +1 more source

RHEED Dimension Reduction

open access: yes, 2022
Demonstrating how to analyze RHEED patterns using dimension reduction techniques: principal component analysis, nonnegative matrix factorization, and kmeans ...
Kimberly Fraser (née Gliebe)   +1 more
core   +1 more source

Kernel-Based Dimension Reduction Method for Time Series Nowcasting

open access: yesIEEE Access
Nowcasts are closely related to big data. Currently, the most popular nowcast model-building approach is to use the factor bridge equation (BE) model or factor mixed data sampling (MIDAS) model, where the factors are extracted from large datasets using ...
Thanh Do Van, Hai Nguyen Minh
doaj   +1 more source

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