Results 91 to 100 of about 14,220,135 (261)

Semi-Analytical Solution for the Steady-State Temperature Field of a Shallow-Buried Twin-Pipe Ground Freezing System

Applied Sciences
Accurate prediction of the temperature field around shallow-buried freezing pipes is important for the design and assessment of artificial ground freezing systems in shallow tunnel and underground structure construction.
Wei Na, Hao Chen
doaj   +1 more source

The Hoheisel phenomenon for generalized Dirichlet series [PDF]

Proceedings of the American Mathematical Society, 1973
Hoheisel’s proof that the difference between two consecutive primes is of smaller order of magnitude than either prime depends on Littlewood’s estimate for the zero-free region of the Riemann zeta function and a density estimate for the number of zeros in certain rectangles in the critical strip.
openaire   +2 more sources

The JAE's Positioning Within Agricultural Economics: A Text‐Based Analysis

Journal of Agricultural Economics, EarlyView.
ABSTRACT On the occasion of the centenary of the Agricultural Economics Society, this study investigates the positioning of the Journal of Agricultural Economics (JAE) within the broader landscape of the main agricultural economics journals. We employ a quantitative text analysis approach, estimating a Structural Topic Model (STM) on a unique corpus of
Leonardo Cei, Gianluca Stefani, Edi Defrancesco   +2 more
wiley   +1 more source

The effect of the surface recombination velocity on 2D thermoelastic semiconductor solid sphere problem

Alexandria Engineering Journal
This work presents a general mathematical model for thermo-electro-mechanical wave propagation in a two-dimensional spherical semiconductor medium subjected to an axisymmetric thermal shock and attraction-free surface.
H. Sherief, M. Fayik, A. Abd El-Latief, M. Naim Anwar, A.M. Tawfik, A. Elsayed   +5 more
doaj   +1 more source

Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange

Asia-Pacific Journal of Financial Studies, EarlyView.
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley   +1 more source

Multilevel Evaluation of the General Dirichlet Series

Advances in the Theory of Nonlinear Analysis and its Application, 2020
In this Study, an accurate method for summing the general Dirichlet series is presented. Long range terms of this series are calculated by a multilevel approach. The Dirichlet series, in this technique, is decomposed into two parts, a local part and a smooth part.
openaire   +3 more sources

An extension of the basic local independence model to multiple observed classifications

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi, Debora de Chiusole, Egidio Robusto, Alice Bacherini, Giulia Balboni, Andrea Brancaccio, Ottavia M. Epifania, Noemi Mazzoni, Luca Stefanutti   +8 more
wiley   +1 more source

Reliability measures in knowledge structure theory

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract In knowledge structure theory (KST) framework, this study evaluates the reliability of knowledge state estimation by introducing two key measures: the expected accuracy rate and the expected discrepancy. The accuracy rate quantifies the likelihood that the estimated knowledge state aligns with the true state, while the expected discrepancy ...
Debora de Chiusole, Andrea Spoto, Umberto Granziol, Luca Stefanutti   +3 more
wiley   +1 more source

Forecasting the Evolving Composition of Guest Origin Markets in Platform Bookings: A Bayesian Compositional Time-Series Approach Using Airbnb Data

Forecasting
Tourism-demand forecasting overwhelmingly targets aggregate volumes, leaving the question of where demand will come from largely unaddressed. This paper forecasts that question directly. We make three contributions.
Harrison E. Katz
doaj   +1 more source

From tetrachoric to kappa: How to assess reliability on binary scales

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley   +1 more source