Results 101 to 110 of about 19,492 (245)

On the singularities of multiple L-functions

open access: yesOpen Mathematics, 2010
Zaharescu Alexandru, Zaki Mohammad
doaj   +1 more source

How Stock Market Participants Use Generative Artificial Intelligence: Evidence from User‐Platform Interaction Data

open access: yesJournal of Accounting Research, EarlyView.
ABSTRACT This paper provides descriptive evidence on how stock market participants use Generative Artificial Intelligence (GenAI) to process investment‐related information. Using a data set of 1.7 million stock‐related queries from one of China's largest GenAI platforms during the first half of 2024, we document that user queries address a wide range ...
FRANK ECKER, XITONG LI, YILAN LI, FAN WU
wiley   +1 more source

Dirichlet L-functions and character power sums

open access: yesJournal of Number Theory, 1970
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Mitigating Disability Bias in Hiring: The Role of Inclusion‐Focused Generative AI in Complex HR Decisions

open access: yesHuman Resource Management Journal, EarlyView.
ABSTRACT This research investigates how inclusion‐focused generative AI (GAI), designed with diversity, fairness, and inclusion principles, mitigates disability bias in hiring—particularly under complex, cognitively demanding conditions. Drawing on Construal Level Theory, two experiments with HR professionals (N = 117; 238) compared standard, inclusion‐
Miles M. Yang
wiley   +1 more source

Audit Quality From a Service Perspective: A Systematic Literature Review

open access: yesAccounting Perspectives, EarlyView.
ABSTRACT Audit quality is a multidimensional and latent construct that researchers struggle to evaluate and interpret. This paper follows an interdisciplinary approach by systematically reviewing the literature on audit quality evaluation from a service quality perspective.
Lise Muriel Botha   +3 more
wiley   +1 more source

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

open access: yesAsia-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

Longitudinal Follow‐Up of Gut and Salivary Microbiota in Children With Food Protein‐Induced Enterocolitis Syndrome

open access: yesAllergy, EarlyView.
This study aimed to compare both the gut and salivary microbiota over time between allergic and tolerant patients and matched controls. Allergic patients with food protein‐induced enterocolitis syndrome exhibited lower gut and salivary alpha‐diversities, several genus‐level differences, and higher acetate levels than controls.
Anais Lemoine   +8 more
wiley   +1 more source

Analysing Higher Education Institutions' Role in Sustainable Development Goals: A Systematic Literature Review Analysis and Future Directions

open access: yesBusiness Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT This paper examines the current state of the art regarding the contribution of Higher Education Institutions (HEIs) to the achievement of the Sustainable Development Goals (SDGs). We conducted a Systematic Literature Review Analysis (SLRA), which integrates a traditional Systematic Literature Review (SLR) with Bibliographic Analysis (BA), on a
Pasquale Latella, Stefania Veltri
wiley   +1 more source

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

open access: yesBritish 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   +8 more
wiley   +1 more source

Reliability measures in knowledge structure theory

open access: yesBritish 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   +3 more
wiley   +1 more source

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