Results 131 to 140 of about 490,508 (286)

Predictability [PDF]

open access: yesBritish Journal of Ophthalmology, 1997
openaire   +2 more sources

Bio‐Inspired Magnetically Tunable Structural Colors from Elliptical Self‐Assembled Block Copolymer Microparticles

open access: yesAdvanced Functional Materials, EarlyView.
Cephalopod‐inspired photonic microparticles with dynamic structural coloration are fabricated via confined self‐assembly of linear block copolymers into ellipsoids containing stacked lamellae. Embedded superparamagnetic nanoparticles enable rapid magnetic alignment, restoring vivid, angle‐dependent color.
Gianluca Mazzotta   +8 more
wiley   +1 more source

Predictive Likelihood

open access: yesThe Annals of Statistics, 1979
The likelihood function is the common basis of all parametric inference. However, with the exception of an ad hoc definition by Fisher, there has been no such unifying basis for prediction of future events, given past observations. This article proposes a definition of predictive likelihood which can help to remove some nonuniqueness problems in ...
openaire   +2 more sources

Laser Engineering of HfN‐Based Nanoparticles for Safe NIR‐I Photothermal and X‐ray Enhancing Cancer Therapies

open access: yesAdvanced Functional Materials, EarlyView.
In this study, we produced HfN‐based nanoparticles via femtosecond laser ablation in acetone. The nanoparticles exhibit a red‐shifted plasmonic resonance in the NIR‐I window, colloidal stability after coating with polyethyleneglycol, and excellent biocompatibility. The photothermal and X‐ray sensitization therapeutic effects were demonstrated for tumor
Julia S. Babkova   +15 more
wiley   +1 more source

Shape‐Changing Multiphase Microparticles from Complex Liquid Crystal Emulsions

open access: yesAdvanced Functional Materials, EarlyView.
Liquid crystalline network (LCN) microparticles are prepared from single, double (Janus), and triple emulsions through a simple and scalable bulk‐emulsification strategy. Under heating, the particles exhibit robust, reversible, large‐amplitude deformations that depend both on the morphology and the liquid crystals director field configuration.
Marco Turriani   +3 more
wiley   +1 more source

Evaluation of the predictors of tooth loss using artificial intelligence-based machine learning approach: A retrospective study

open access: yesJournal of Indian Society of Periodontology
Background: A common and persistent inflammatory condition impacting the supportive structures of teeth, periodontal disease presents notable challenges in dental healthcare. It leads to various clinical issues, including the loss of clinical attachment,
Amit Rajabhau Pawar   +3 more
doaj   +1 more source

Predictability of seasonal runoff in the Mississippi River basin [PDF]

open access: yes, 2003
Recent advances in climate prediction and remote sensing offer the potential to improve long-lead streamflow forecasts and to provide better land surface state estimates at the time of forecast.
Lettenmaier, Dennis P., Maurer, Edwin P.
core   +1 more source

Predictive Medicine

open access: yes, 2015
In the last part of the twentieth century, predictive medicine has gained currency as an important ideal in biomedical research and health care. Research in the genetic and molecular basis of disease suggested that the insights gained might be used to develop tests that predict the future health state of asymptomatic individuals.
openaire   +2 more sources

Living Materials Approach for In Situ Bio‐Polymers Production Using Bacillus Paralicheniformis in Microneedles

open access: yesAdvanced Healthcare Materials, EarlyView.
Dissolvable microneedle (MN) device containing Bacillus paralicheniformis. The polymeric matrix encapsulates and protects the bacteria, preserving their viability while enabling in situ production and release of γ‐polyglutamic acid. The bacteria are delivered into the skin via 500 µm‐long microneedles, and remain detectable on the skin 24 h post ...
Caroline Hali Alperovitz   +3 more
wiley   +1 more source

Efficient Tests of Stock Return Predictability [PDF]

open access: yes
Empirical studies have suggested that stock returns can be predicted by ï¬nancial variables such as the dividend-price ratio. However, these studies typically ignore the high persistence of predictor variables, which can make ï¬rst-order asymptotics a ...
John Y. Campbell, Motohiro Yogo
core  

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