Results 11 to 20 of about 536,564 (242)
In recent years, more and more facts have proven that neural network models have good performance in machine learning, and researchers always use RNN and CNN models to solve complex problems, like how RNN can utilize historical information to predict further weather, identify human notes, and analyze text.
Sahil Pawar -, Prof. Dr. Neha Ansari -
+6 more sources
Exploring Distributions of House Prices and House Price Indices
We use house prices (HP) and house price indices (HPI) as a proxy to income distribution. Specifically, we analyze distribution of sale prices in the 1970–2010 window of over 116,000 single-family homes in Hamilton County, Ohio, including Cincinnati metro area of about 2.2 million people.
Jiong Liu, Hamed Farahani, R. A. Serota
openaire +4 more sources
House Price Channel: Effects of House Prices on Macroeconomy [PDF]
This paper investigates the manner in which house prices affect macroeconomic variables through a house price channel by applying the method of Iacoviello (2005) to Korean data, and establishing a DSGE model with complementarity. This paper found that higher LTV ratio coupled with stronger complementarity results in the co-movement in both consumption ...
openaire +2 more sources
Mechanisms of parasite‐mediated disruption of brain vessels
Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira +3 more
wiley +1 more source
Tax policy, housing prices, and housing investment [PDF]
Abstract This paper employs a general equilibrium model with forward-looking behavior and adjustment dynamics to assess the effects of major components of the Tax Reform Act of 1986 on housing and other industries. Simulation results reveal significant differences between effects on housing and other industries as well as substantial changes over ...
openaire +1 more source
Cryptochrome and PAS/LOV proteins play intricate roles in circadian clocks where they act as both sensors and mediators of protein–protein interactions. Their ubiquitous presence in signaling networks has positioned them as targets for small‐molecule therapeutics. This review provides a structural introduction to these protein families.
Eric D. Brinckman +2 more
wiley +1 more source
Presentation: Did the Housing Price Bubble Clobber Local Labor Market Job and Worker Flows When It Burst? [PDF]
We integrate local labor market data on worker flows, job flows, employment levels, and earnings with MSA-level data on housing prices and local area unemployment, to study the local labor market dynamics associated with the U.S.
Abowd, John M., Vilhuber, Lars
core +2 more sources
Cell wall target fragment discovery using a low‐cost, minimal fragment library
LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan +5 more
wiley +1 more source
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
Frictionless house-price momentum
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Patrick Fève, Alban Moura
openaire +6 more sources

