Results 51 to 60 of about 838 (175)
The consolidation equations and the corresponding solution conditions of the composite ground with floating stiffened deep cement mixing (SDCM) columns with long core piles are derived under an instant loading.
YANG Tao 1, DAI Ji-tong 1, WANG Heng-dong 2
doaj +1 more source
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley +1 more source
MacAdam SDCM -arvon selvittäminen Winledin valaisimille [PDF]
Tämän opinnäytetyön tarkoituksena oli selvittää, kuinka LED-valaisimille voidaan määrittää MacAdam SDCM -arvo sekä toimia oppaana arvon selvittämiselle.
Kyösti, Niko
core
The stiffened deep cement mixing (SDCM) pile is widely used in geotechnical engineering because of its high bearing capacity, high skin friction and low settlement.
LIU Yongchao 1, 5, LIU Ding 1, YU Yilong 2, LIU Xiufeng 3, LI Bingbing 4
doaj +1 more source
Soft ground improvement techniques have become most practical and popular methods to increase soil strength, soil stiffness and reduce soil compressibility including the soft Bangkok clay.
Long, P +7 more
core +1 more source
In this review, the current state of light‐assisted 3D printing as it pertains to engineering musculoskeletal tissues including bone, cartilage, skeletal muscle, tendon, and ligaments is summarized. Common printing techniques, photoreactive materials, and study design choices are compiled and reviewed.
Meagan Morgan, Bin Zhang, Roger Narayan
wiley +1 more source
We investigated the bacterial food digestion and accumulation in wild-type adult Caenorhabditis elegans (C. elegans) worms that have fed on either non-pathogenic RFP-expressing Escherichia coli (E.
Farzad Rezaeianaran, Martin A. M. Gijs
doaj +1 more source
Experimental High‐Throughput Electrochemistry
This review highlights experimental high‐throughput electrochemistry as a powerful approach to accelerate electrochemical research. Key technologies such as automated platforms, microelectrode arrays, and machine learning‐based optimization are discussed, with a focus on applications in electrocatalysis, battery research, and electrosynthesis ...
Jens Noack
wiley +1 more source
Deep Learning Integration in Optical Microscopy: Advancements and Applications
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
An electrophysiological validation of stochastic DCM for fMRI
In this note, we assess the predictive validity of stochastic dynamic causal modelling (sDCM) of fMRI data, in terms of its ability to explain changes in the frequency spectrum of concurrently acquired EEG signal.
Jean eDaunizeau +7 more
doaj +1 more source

