Results 241 to 250 of about 1,334,088 (306)
A novel FIRINOX‐loaded implant demonstrates controlled drug release, and potent therapeutic efficacy in pancreatic ductal adenocarcinoma mouse models with safety confirmed in a large‐animal pre‐clinical model. This innovative drug delivery platform offers a promising new treatment approach for non‐resectable, treatment‐resistant pancreatic cancer ...
Samantha J. Wade +19 more
wiley +1 more source
A hierarchically structured metal–organic framework (eMIL) is shown to host the complete six‐enzyme biosynthesis pathway for the anti‐cancer pigment violacein, reshaping reaction dynamics and multiplying in vitro yields. eMIL nanoreactors deliver this reconstituted bacterial multi‐protein system into mammalian cells, where cell‐derived substrates and ...
Ainur Sharip +12 more
wiley +1 more source
Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source
AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee +21 more
wiley +1 more source
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Review of Financial Studies, 1992
It is generally agreed that speculators can make profits from insider trading or from the release of false information. Both forms of stock-price manipulation have now been made illegal. In this article, the authors ask whether it is possible to make profits from a different kind of manipulation, in which an uninformed speculator simply buys and sells ...
Allen, Franklin, Gale, Douglas
openaire +3 more sources
It is generally agreed that speculators can make profits from insider trading or from the release of false information. Both forms of stock-price manipulation have now been made illegal. In this article, the authors ask whether it is possible to make profits from a different kind of manipulation, in which an uninformed speculator simply buys and sells ...
Allen, Franklin, Gale, Douglas
openaire +3 more sources
What moves stock prices? [PDF]
This paper estimates the fraction of the variance in aggregate stock returns that can be attributed to various kinds of news. First, we consider macroeconomic news and show that it is difficult to explain more than one third of the return variance from this source. Second, to explore the possibility that the stock market responds to information that is
David M. Cutler +2 more
openaire +1 more source
SSRN Electronic Journal, 2010
We study the relation between the ownership structure of financial assets and non-fundamental risk. We define an asset to be fragile if it is susceptible to non-fundamental shifts in demand. An asset can be fragile because of concentrated ownership, or because its owners face correlated or volatile liquidity shocks, i.e., they must buy or sell at the ...
Greenwood, Robin, Thesmar, David
openaire +1 more source
We study the relation between the ownership structure of financial assets and non-fundamental risk. We define an asset to be fragile if it is susceptible to non-fundamental shifts in demand. An asset can be fragile because of concentrated ownership, or because its owners face correlated or volatile liquidity shocks, i.e., they must buy or sell at the ...
Greenwood, Robin, Thesmar, David
openaire +1 more source
YMER Digital, 2022
Machine learning has many important applications in the stock price prediction. Here, we will discuss about predicting the returns on stocks. This has uncertainties and it is a very complex task. This project will be developed into two parts: First, we will learn how to predict stock price using the Long Short-Term Memory neural networks.
V BIKSHAM +4 more
openaire +1 more source
Machine learning has many important applications in the stock price prediction. Here, we will discuss about predicting the returns on stocks. This has uncertainties and it is a very complex task. This project will be developed into two parts: First, we will learn how to predict stock price using the Long Short-Term Memory neural networks.
V BIKSHAM +4 more
openaire +1 more source

