Results 121 to 130 of about 49,604 (295)

Cheating or Competing? University Students’ Experience of AI Marketing and What It Means for AI Literacy Programming

Annals of Anthropological Practice, EarlyView.
ABSTRACT Given generative AI's rapid incursion into higher education, we examined how AI tools are marketed to US college students and how students experience AI promotions. Using a scalable action research model, we collected and analyzed 131 social media ads, 48 student interviews, and field notes compiled by three interns at student‐facing AI ...
Elisa J. Sobo, David M. Goldberg, Sean W. Hauze, James P. Frazee   +3 more
wiley   +1 more source

Macroeconomic Effects of Public Investment in EMDEs: Nonlinear Effects of the Business Cycle, Fiscal Space, Capital Stock and Efficiency

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT The paper examines the macroeconomic effects of public investment in emerging market and developing economies (EMDEs). To this end the analysis develops a new measure of public investment shocks based on cyclically adjusted government investment.
Amat Adarov, Benedict Clements, João Tovar Jalles   +2 more
wiley   +1 more source

Skills Development for the Twin Transition: Building Transnational Skills Ecosystems Through Experimentalist Governance

Regulation &Governance, EarlyView.
ABSTRACT The twin transition to a green and digital economy is linked to the need for new skills in the workforce. However, given the scale and speed of change, it is challenging for policymakers, employers, and educational institutions to predict what skills will be in demand and how to create them.
Lukas Graf, Marcelo Marques, Agata A. Lambrechts   +2 more
wiley   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

Language machines: Toward a linguistic anthropology of large language models

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux, Michael Castelle, Anna Weichselbraun   +2 more
wiley   +1 more source

Improving S-Curve Bias Through Joint Compensation of HPA and Filter Distortions. [PDF]

Sensors (Basel)
Chen L, Yang Y, Xiong T, Chen L, Liu Y.
europepmc   +1 more source

Contrasting Global and Patient‐Specific Regression Models via a Neural Network Representation

Biometrical Journal, Volume 68, Issue 2, April 2026.
ABSTRACT When developing clinical prediction models, it can be challenging to balance between global models that are valid for all patients and personalized models tailored to individuals or potentially unknown subgroups. To aid such decisions, we propose a diagnostic tool for contrasting global regression models and patient‐specific (local) regression
Max Behrens, Daiana Stolz, Eleni Papakonstantinou, Janis M. Nolde, Gabriele Bellerino, Angelika Rohde, Moritz Hess, Harald Binder   +7 more
wiley   +1 more source

A radar vital signs detection method in complex environments. [PDF]

Sci Rep
Zhang C, Liu H, Zhu Y, Fu G, Chen X, Yang D.   +5 more
europepmc   +1 more source

Groundwater Contributions to Daily Nitrogen and Phosphorus Loads and Implications for Prediction in Watersheds in South Korea

JAWRA Journal of the American Water Resources Association, Volume 62, Issue 2, April 2026.
ABSTRACT Understanding watershed water quality dynamics is essential for sustainable management, yet accurate nutrient load prediction remains challenging under strong inter‐annual variability. To address this limitation, this study presents a hybrid modelling framework that integrates baseflow information into a machine‐learning structure to improve ...
Bisrat Ayalew Yifru, Seoro Lee, Jeongho Han, Woonji Park, Kyoung Jae Lim   +4 more
wiley   +1 more source

Simultaneous State and Parameter Estimation Methods Based on Kalman Filters and Luenberger Observers: A Tutorial & Review. [PDF]

Sensors (Basel)
Chebbi A, Franchek MA, Grigoriadis K.
europepmc   +1 more source