Results 191 to 200 of about 635,017 (399)
Driver crash risk factors and prevalence evaluation using naturalistic driving data
T. Dingus+6 more
semanticscholar +1 more source
We investigate two unusual phenomena in self‐assembly of anisotropic molecules from isotropic (Iso) melt: a heat‐capacity (Cp) maximum, and spontaneous formation of the recently discovered chiral liquid (Iso*). Based on experiments on new non‐chiral monomers, dimers and polymers, we construct a statistical theory that shows why many complex ...
Yi-nan Xue+9 more
wiley +1 more source
Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis
E. Zivot, D. Andrews
semanticscholar +1 more source
Crash Assignment—Traffic Accidents Scrutinized by the Pennsylvania Department of Health
Charles L. Wilbar
openalex +1 more source
Reactivity of Pnictaalumenes towards 1,3‐Dipole Molecules
Alkynes undergo 1,3‐dipolar cyclisation reactions with organic azides giving 1,2,3‐triazoles. Pnictaalumenes RPn=AlRˈ are the isoelectronic congeners of alkynes, hence a similar reactivity towards 1,3‐dipole molecules is expected. Herein, we report the reactions of DippTerPn=AlCp* (DippTer = 2,6‑(2,6‐iPr2C6H3)‐C6H3, Cp* = [Me5C5]−, Pn = P, As) towards ...
Tim Wellnitz+7 more
wiley +1 more source
Investigating Extreme Violence: Editors’ Introduction
Marc Le Pape, Michaël Neuman
doaj +1 more source
A Review on Factors Affecting Large Truck–Involved Crashes
Crashes involving large trucks have a significant association with increasing fatalities or serious injuries. Identifying the factors affecting large trucks crashes can be helpful in reducing the number of crashes and corresponded consequences.
Milad Safar+5 more
doaj
Flight to Liquidity on the Tokyo Stock Exchange during the 2008 Share Market Crashes
This paper explores the existence of the flight-to-liquidity phenomenon for shares which are traded on the Tokyo Stock Exchange during share market crashes.
Brooke Alexandra Maeda
doaj
On The Engine Maneuvering during Crash Backing of A Geared-Turbine-Driven Vessel
J. Hashimoto+3 more
openalex +2 more sources
A Generative Deep Learning Approach for Crash Severity Modeling with Imbalanced Data [PDF]
Crash data is often greatly imbalanced, with the majority of crashes being non-fatal crashes, and only a small number being fatal crashes due to their rarity. Such data imbalance issue poses a challenge for crash severity modeling since it struggles to fit and interpret fatal crash outcomes with very limited samples. Usually, such data imbalance issues
arxiv