Results 151 to 160 of about 40,856 (264)

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

Supervised Learning Algorithm Comparison in Discharge Status Prediction of Trauma Patients: Empirical Evaluation. [PDF]

J Biomed Phys Eng
Kohzadi Z, Nickfarjam AM, Kohzadi Z, Shokrizadeh Arani L, Mahdian M, Holl F.   +5 more
europepmc   +1 more source

Appetitive responses toward smoking‐related stimuli in abstinence‐motivated, non‐deprived individuals with chronic tobacco dependence: A multi‐methodological investigation

Addiction, EarlyView.
Abstract Background and aims Appetitive responses, such as approach biases, are thought to play a crucial role in smoking. This study aimed to compare responses toward smoking‐related stimuli with responses in control conditions (e.g. non‐approach or neutral stimuli) using a multi‐method approach. By examining associations between response measures and
Franziska Motka, Haoye Tan, Seth M. Levine, Sabine Vollstädt‐Klein, Sarah K. Danböck, Katja Bertsch, Markus H. Winkler, Charlotte E. Wittekind   +7 more
wiley   +1 more source

Interpretable machine learning for chronic kidney disease prediction: Insights from SHAP and LIME analyses. [PDF]

PLoS One
Mehdi Chouit E, Rachdi M, Bellafkih M, Raouyane B.   +3 more
europepmc   +1 more source

Exploring the intersection of heavy alcohol use and masculine norms as risk factors for male‐to‐female intimate partner violence: Evidence from an Australian national survey

Addiction, EarlyView.
Abstract Background and aims Endorsement of traditional masculine norms and male alcohol use are identified risk factors for male‐to‐female intimate partner violence (MFIPV) perpetration, yet their interaction remains unexplored in Australia. This study aimed to estimate the associations between heavy male alcohol use, endorsement of traditional ...
Bree Willoughby, Koen Smit, Ingrid M. Wilson, Gail Gilchrist, Anne‐Marie Laslett   +4 more
wiley   +1 more source

Sex-Specific Patterns of Force Plate-Derived Predictors for Vertical Jump Performance and Algorithmic Musculoskeletal Injury Risk in College Athletes. [PDF]

Sports (Basel)
Eckart A, Sharma Ghimire P.
europepmc   +1 more source

The nation‐state, non‐Western empires, and the politics of cultural difference

American Journal of Political Science, EarlyView.
Abstract While empires have been central to political theory, they almost always refer to Western forms of imperialism and colonialism to which non‐Western societies are subject. But precolonial empires have ruled much of the world for much of known history. Building on recent International Relations (IR) scholarship, this article reconstructs an ideal
Loubna El Amine
wiley   +1 more source

Federated learning-powered real-time behavioral intrusion detection leveraging LSTM, attention, GANs, and large language models. [PDF]

Sci Rep
AlHayan A, Al-Muhtadi J.
europepmc   +1 more source

Frequency and Severity of Allergic Reactions to Non‐Mandatory Labelled Allergenic Foods—Data From Two Large European Cohorts

Allergy, EarlyView.
In two large European cohorts, 589 reactions to non‐mandatory labelled plant‐based foods were identified with sunflower seed, pine nut, pea and lentil as the most frequent triggers. Reaction severity was not different between mandatory and non‐mandatory labelled allergenic foods. Their frequency and rising trends (e.g., fenugreek, pumpkin seed) support
Sabine Dölle‐Bierke, Alejandro Gonzalo‐Fernández, Dominique Sabouraud‐Leclerc, Laura Barreales‐Tolosa, Barbara Ballmer‐Weber, Simona Belohlavkova, Maria B. Bilò, Ruta Dubakiene, Karin Hartmann, Monika Jedrzejczak‐Czechowicz, Thuy‐My Le, Lars Lange, Nikolaos G. Papadopoulos, Guillaume Pouessel, Isabel Reig, Athanasios Sinaniotis, E. N. Clare Mills, Margitta Worm, Montserrat Fernández‐Rivas   +18 more
wiley   +1 more source

AI-ECG classification for Brugada syndrome: A study of machine learning techniques to optimise for limited datasets. [PDF]

PLOS Digit Health
Saleh K, Hadadi R, Liang Y, Wong H, Sau A, Howard J, Brittain E, Annis J, El-Harasis M, Shun-Shin M, Mohal J, Naraen A, Samways J, Artico J, Ware J, Kanagaratnam P, Ng FS, Zolgharni M, Bai W, Varnava A, Whinnett Z, Arnold A.   +21 more
europepmc   +1 more source