Results 161 to 170 of about 112,714 (291)

An effective AI infused demand forecasting application for automotive spare parts industry: a real case from Turkey. [PDF]

Sci Rep
Albayrak Ünal Ö, Erkayman B, Usanmaz B.   +2 more
europepmc   +1 more source

Why Are Consumers Ambivalent About AI‐Generated Images? The Moderating Role of Commercial Versus Noncommercial Content Type

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Grounded in ambivalence theories, this research examined factors shaping consumer ambivalence toward AI‐generated content and investigated differences between commercial and noncommercial contexts. As a preliminary study, sentiment analysis of Reddit data using a support vector machine (SVM) revealed that most consumer sentiment toward AI ...
Garim Lee, Jinsu Park, Hye‐Young Kim, Divya Manoj   +3 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Irreducible extremity fractures in pediatric and adolescent rodeo-related trauma: A retrospective case series. [PDF]

J Child Orthop
Arnold TE, Nolte JA, Krinock DJ, Branton HR, Rabenhorst BM, Wyrick DL, Schoenleber SJ.   +6 more
europepmc   +1 more source

Single‐Step Synthesis of Dithieno[3,2‐b:2′,3′‐e]Pyridines and Their Acid‐Dependent Optical and Photosensitising Properties

Chemistry – A European Journal, EarlyView.
The synthesis of dithieno[3,2‐b:2′,3′‐e]pyridines (DTPs) is herein reported, and their optical properties are studied both experimentally and computationally. Protonation or methylation of the nitrogen atom induced bathochromic shifts in their absorption and emission spectra.
Dominic Taylor, Matthew Wallace, Leonardo Amicosante, Gary S. Nichol, Scott J. Dalgarno, Filipe Vilela, Iain A. Wright, Neil B. McKeown   +7 more
wiley   +1 more source

Near-inertial internal waves funneled into Taylor caps shape seamount tops, with implications for biodiversity in the deep ocean. [PDF]

Sci Adv
Xie X, Qu L, Li M, Thomas L, Chen D, Zhou L, Zhang D, Wang J, Pan H, Shen C, Ren W.   +10 more
europepmc   +1 more source

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

Canadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne, Thanh‐Liem Huynh, Mylène Oscar   +2 more
wiley   +1 more source

Analytical solution of moistened trapezoidal porous fins considering all nonlinear effects. [PDF]

Sci Rep
Sayehvand HO, Maleki J, Haftlang PB.
europepmc   +1 more source

Jackknife bias‐corrected variance estimation for the generalized regression estimator

Canadian Journal of Statistics, EarlyView.
Abstract Commonly used variance estimators for the generalized regression estimator (GREG) are based on Taylor linearization and jackknife. Traditionally, a jackknife GREG variance estimator is obtained by jackknifing GREG, which consists of computing GREG from each of several subsamples of the parent sample, and estimating the variance of the parent ...
Marius Stefan, J.N.K Rao
wiley   +1 more source