Results 231 to 240 of about 2,499,784 (284)
Adaptive 4D‐Printed Vascular Stents With Low‐Temperature‐Activated and Intelligent Deployment
Advanced Functional Materials, EarlyView.Microarchitected coronary artery stents were fabricated using a polycaprolactone (PCL)‐based shape memory polymer (SMP) composite via projection micro‐stereolithography (PµSL) 4D printing. By incorporating diethyl phthalate (DEP) as a plasticizer, the thermal transition temperature (Ttran) was modulated to about 37°C, enabling rapid and autonomous ...
Yannan Li +12 more
wiley +1 more source
Using the Photostationary State of Arylazopyrazoles to Control Phase Transitions of Liquid Crystals
Advanced Functional Materials, EarlyView.A series of new arylazopyrazole photoswitches is designed as dopants for liquid crystalline materials. Unprecedented, the distribution of photoisomers at the photostationary state upon irradiation with light of specific wavelengths (365, 460, 520 nm) is used to control the liquid crystalline phase transitions under isothermal conditions, including ...
Tobias Thiele +3 more
wiley +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Statistical Methods in Medical Research, 2007
The researcher collecting hierarchical data is frequently confronted with incompleteness. Since the processes governing missingness are often outside the investigator's control, no matter how well the experiment has been designed, careful attention is needed when analyzing such data.We sketch a standard framework and taxonomy largely based on Rubin's ...
Caroline, Beunckens +3 more
openaire +2 more sources
The researcher collecting hierarchical data is frequently confronted with incompleteness. Since the processes governing missingness are often outside the investigator's control, no matter how well the experiment has been designed, careful attention is needed when analyzing such data.We sketch a standard framework and taxonomy largely based on Rubin's ...
Caroline, Beunckens +3 more
openaire +2 more sources
MISS: Analysis of Incomplete Data
Multivariate Behavioral Research, 1988MISS is a computer program written in the GAUSS programming language for the microcomputer (with DOS operating system and mathcoprocessor). It provides several options for incomplete data sets. First, it will produce maximum likelihood estimates of the covariance matrix and mean vector via the EM algorithm.
R, Schoenberg, G, Arminger
openaire +2 more sources
Variable Selection with Incomplete Covariate Data
Biometrics, 2007SummaryApplication of classical model selection methods such as Akaike's information criterion (AIC) becomes problematic when observations are missing. In this article we propose some variations on the AIC, which are applicable to missing covariate problems.
Claeskens, Gerda, Consentino, Fabrizio
openaire +3 more sources
Consistency of incomplete data
Information Sciences, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Clark, Patrick G. +2 more
openaire +2 more sources
Personalization from incomplete data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001Clickstream data collected at any web site (site-centric data) is inherently incomplete, since it does not capture users' browsing behavior across sites (user-centric data). Hence, models learned from such data may be subject to limitations, the nature of which has not been well studied.
Balaji Padmanabhan +2 more
openaire +1 more source
Data Mining with Incomplete Data
2005Survey is one of the common data acquisition methods for data mining (Brin, Rastogi & Shim, 2003). In data mining one can rarely find a survey data set that contains complete entries of each observation for all of the variables. Commonly, surveys and questionnaires are often only partially completed by respondents.
Hai Wang, Shouhong Wang
openaire +1 more source
2004
Let (X, g) be a Riemannian manifold and Y be a variety of closed submanifolds Y ⊂ X. Consider the integral transform for the variety Y: $$Mf\left( Y \right) = \int_Y {fd} V\left( Y \right)\,,\,Y \in Y,$$ (6.1) where dV (Y) is the volume element on Y induced by the metric g.
openaire +1 more source
Let (X, g) be a Riemannian manifold and Y be a variety of closed submanifolds Y ⊂ X. Consider the integral transform for the variety Y: $$Mf\left( Y \right) = \int_Y {fd} V\left( Y \right)\,,\,Y \in Y,$$ (6.1) where dV (Y) is the volume element on Y induced by the metric g.
openaire +1 more source