Results 201 to 210 of about 170,501 (289)

Graph convolution-based techniques for pragmatic Arabic figurative language classification. [PDF]

Front Artif Intell
Banou Z, Alaoui FZ, El Filali S, Benlahmar EH, El Jiani L, Sakhi H.   +5 more
europepmc   +1 more source

From Human Hands to Machine Minds: Financing AI‐Driven Entrepreneurship in Reward‐Based Crowdfunding

Accounting &Finance, EarlyView.
ABSTRACT This study examines the effect of artificial intelligence (AI) adoption on financing performance in reward‐based crowdfunding. Using Kickstarter data from US projects, we find that AI projects have lower pledged amounts, receive fewer donations and attract fewer backers.
Zirui Song, Yihui Lan, Yuan George Shan
wiley   +1 more source

Involvement of executive resources in prediction: Effects of load and hearing loss in older adults. [PDF]

Psychon Bull Rev
Fernandez LB, Shehzad M, Hadley LV.
europepmc   +1 more source

Tēzaurs as a Digital Multifunctional Lexical Resource

Baltic Journal of Modern Computing
Agute Klints, Mikus Grasmanis, Gunta Nespore-Berzkalne, Lauma Pretkalnina, Madara Stade, Normunds Gruzitis, Ilze Lokmane, Peteris Paikens, Laura Rituma, Andrejs Spektors   +9 more
openaire   +1 more source

The Power of Professional Expertise: Unravelling the Boardroom Diversity Puzzle Through a Machine Learning Approach

Accounting &Finance, EarlyView.
ABSTRACT This study examines how board expertise diversity influences firm performance using a novel machine learning approach to classify directors' professional backgrounds. Drawing on data from Spanish listed firms, we develop multidimensional expertise profiles that capture multiple skills held by each director.
Fernando Hernández‐Atienza, Juan Antonio Rodríguez‐Sanz, Benjamín Sahelices, Fernando Tejerina‐Gaite, César Vaca   +4 more
wiley   +1 more source

Which personality traits are necessary conditions for problematic alcohol use? Insights from a 23‐year longitudinal study

Addiction, EarlyView.
Abstract Background and aims Personality traits have been consistently linked to alcohol use. High neuroticism and extraversion and low agreeableness and conscientiousness are known risk factors for both alcohol use frequency and problematic use across the lifespan.
Angela Giugovaz, Peter Prinzie, Miranda C. Lutz, Ingmar H. A. Franken, Igor Marchetti   +4 more
wiley   +1 more source

Cues for odor naming affect performance and brain connectivity. [PDF]

Front Hum Neurosci
Capkan EN, Yildirim F.
europepmc   +1 more source

Are Social Media Platforms an Effective Forum for Engaging Early‐Onset Cancer Survivors? Insights From X (Formerly Twitter)

Asia-Pacific Journal of Clinical Oncology, EarlyView.
This study presents a novel approach to understanding whether social media can be used to effectively communicate with cancer survivors. Posts generated by early‐onset cancer survivors were scarce, while clinician‐ and researcher‐produced content dominated.
Abby Dawson, Savio George Barreto
wiley   +1 more source

Accuracy in parameter estimation and simulation approaches for sample-size planning accounting for item effects. [PDF]

Behav Res Methods
Buchanan EM, Elsherif MM, Geller J, Aberson CL, Gurkan N, Ambrosini E, Heyman T, Montefinese M, Vanpaemel W, Barzykowski K, Batres C, Fellnhofer K, Huang G, McFall J, Ribeiro G, Röer JP, Ulloa JL, Roettger TB, Valentine KD, Visalli A, Schmidt K, Vasilev MR, Viviani G, Miranda JF, Lewis SC.   +24 more
europepmc   +1 more source

What political theory can learn from conceptual engineering: The case of “corruption”

American Journal of Political Science, EarlyView.
Abstract Conceptual change is commonplace in political theory. Recent scholarship argues that improving a concept, or “engineering” it, can sharpen its normative and explanatory power. This article illustrates what political theory can learn from conceptual engineering (CE) by examining the evolution of “corruption” as a case study.
Emanuela Ceva, Patrizia Pedrini
wiley   +1 more source