Self-intersection local time: Critical exponent, large deviations, and laws of the iterated logarithm [PDF]
Richard F. Bass, Xia Chen
openalex +1 more source
Frailty identification using a sensor-based upper-extremity function test: a deep learning approach. [PDF]
Asghari M, Ehsani H, Toosizadeh N.
europepmc +1 more source
Exploring Appropriate Strategies for Vaccination against Classical Swine Fever under a Dynamic Change in Antibody Titer in Sows after Starting Vaccination in a Japanese Farm Setting. [PDF]
Ukita M+7 more
europepmc +1 more source
ABSTRACT This study combines sensory analysis and stated preference valuation techniques to assess the monetary value of organoleptic attributes of new tomato varieties. The tomatoes evaluated included two new varieties adapted to South Texas growing conditions, a commercial check, and tomatoes imported from Mexico.
Samuel D. Zapata+3 more
wiley +1 more source
Exponential asymptotics and law of the iterated logarithm for intersection local times of random walks [PDF]
Xia Chen
openalex +1 more source
Development of a simple test to quantify the consolidation properties of liquefied granular materials. [PDF]
Tauskela L, Adamidis O, Take WA.
europepmc +1 more source
The Relationship Between Interest Rates and Agricultural Commodity Price Dynamics
ABSTRACT The U.S. Federal Reserve has undertaken several interest rate interventions in the past decade. This study explores the relationship between U.S. corn and soybean prices and Federal Reserve monetary policy interventions, in the short and long run.
Zhining Sun, Ani L. Katchova
wiley +1 more source
Heat kernel estimates and law of the iterated logarithm for symmetric random walks on fractal graphs [PDF]
Ben Hambly, Takashi Kumagai
openalex +1 more source
Determinants of growth differentiation factor 15 plasma levels in outpatients with peripheral arterial disease. [PDF]
Skau E+4 more
europepmc +1 more source
Machine Learning for Organic Fluorescent Materials
Organic fluorescent materials (OFMs) have demonstrated significant potential in diverse applications. Conventional approaches for studying OFMs face significant limitations in fluorescence spectroscopy and computational methods. Machine learning (ML) has revolutionized materials chemistry, offering superior predictive accuracy and efficiency over ...
Jiamin Zhong+7 more
wiley +1 more source