Results 111 to 120 of about 3,957 (194)

Noisy Politics, Quiet Technocrats: Strategic Silence by Central Banks

Regulation &Governance, EarlyView.
ABSTRACT In contrast to the “quiet” politics of the pre‐2008 period, macroeconomic policy has become “noisy”. This break raises a question: How do independent agencies designed for quiet politics react when a contentious public turns the volume up on them?
Benjamin Braun, Maximilian Düsterhöft
wiley   +1 more source

Seeing Through an Ant's Eyes: Do Entomopathogenic Fungi Extend Their Cognition to Their Hosts?

Topics in Cognitive Science, EarlyView.
Abstract Post‐cognitivist approaches recognize cognition as a phenomenon that involves not just brains but all the sensorimotor apparatus of organisms. This means that brains are not always required for the emergence of cognition and that every organism can, in principle, be cognitive, unlocking a theoretical framework to explain the complex adaptive ...
André Geremia Parise, Mark Tibbett, Brian J. Pickles   +2 more
wiley   +1 more source

Words and Scents: How Language Shapes and Skews Olfactory Processing

Topics in Cognitive Science, EarlyView.
Abstract Research on language and olfaction presents a paradox. Language appears to support the formation of odor categories, yet it can also hinder odor recognition through verbal interference, highlighting that different olfactory processes get affected in distinct ways.
Norbert Vanek
wiley   +1 more source

Transformer‐Based Contextual Modeling for Predicting Calories From Recipes

Applied AI Letters, Volume 7, Issue 3, October 2026.
A transformer‐based regression model with token‐level attention pooling is proposed for predicting calorie content directly from unstructured recipe text. By fine‐tuning RoBERTa in an end‐to‐end manner, attention is learned to be focused on calorie‐relevant tokens such as ingredients, fats, and cooking methods.
Md. Siam Ansary, Amina Brinto
wiley   +1 more source

A Global Prospective Harmonization Framework for Suicidality, Anhedonia, and Obsessive‐Compulsive Symptoms in Psychiatric Genetic Studies: A Cross‐Continental Study Within the Ancestral Population Network

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, Volume 201, Issue 6, Page 379-395, September 2026.
ABSTRACT This study aims to prospectively collect harmonized, quantitative, and dimensional psychiatric phenotypes (suicidality, anhedonia, and obsessive‐compulsive symptoms) and information on discrimination, stigma, and unfair treatment in up to 27,500 individuals across diverse ancestries and clinical populations for genetic analysis within the NIMH
Ana M. Diaz‐Zuluaga, Jacey L. Anderberg, Ana M. Ramirez‐Diaz, Andrea Horvath Marques, Catherine E. Rast, Daniel Bustamante, Deborah Jonker, Johanna Valencia‐Echeverry, Joseph Kyebuzibwa, Josselyn S. Muñoz, Kristien van der Walt, Mauricio Castaño Ramirez, Olivia Wootton, Renee M. Frederick, Rocky E. Stroud II, Ruben Gur, Sang Jin Rhee, Shaili C. Jha, Stella Gichuru, Susan Service, Victor I. Reus, Akena Dickens, Carlos Lopez‐Jaramillo, Carrie E. Bearden, Dan J. Stein, Ezra S. Susser, James J. Crowley, Jonathan Flint, Kenneth S. Kendler, Lukoye Atwoli, Michele T. Pato, Nelson B. Freimer, Roel A. Ophoff, Yong Min Ahn, Loes Olde Loohuis, Eric A. Storch, Bizu Gelaye   +36 more
wiley   +1 more source

The Effect and Policy Implications of Climate Disclosure Intensity Index on Chinese Firmsʼ Productivity

Asia &the Pacific Policy Studies, Volume 13, Issue 3, September 2026.
ABSTRACT Addressing climate change has become the high‐profile international issue. This paper focuses on Chinese A‐share listed firms from 2010 to 2023, adopts computerised textual analysis to construct corporate climate disclosure intensity index, and verifies their validity in various aspects.
Liyu Long, Zhi Wang, Yuan Jiang
wiley   +1 more source

Artificial Intelligence Resources for the Screening of Titles and Abstracts in Systematic Reviews: A Scoping Review

Cochrane Evidence Synthesis and Methods, Volume 4, Issue 5, September 2026.
ABSTRACT Introduction Artificial intelligence (AI) is a branch of technology enabling machines to emulate complex human skills; it can also entail problem‐solving using bioinspired methods. It is used for automating systematic literature reviews (SLR), that is, defining a clinical question, locating relevant literature, preliminary screening, study ...
Ana M. Barragán, Sara Elena Ortiz Bonett, Eliana‐Isabel Rodríguez‐Grande, Alvaro David Orjuela‐Cañón, Oscar J. Perdomo, Guillermo Sánchez‐Vanegas   +5 more
wiley   +1 more source

A Pose Initialization Method for Unmanned Vehicles Based on an Improved Siamese Neural Network and Multi-Stage Probabilistic Registration Localization. [PDF]

Sensors (Basel)
Yang J, Chen B, Shen W, Xu X.
europepmc   +1 more source

AI‐assisted identification of stromatoporoids

The Depositional Record, Volume 12, Issue 4, September 2026.
AI models integrating vertical and transverse thin‐section images accurately classify Silurian stromatoporoid taxa, achieving up to 97% accuracy. This dual‐orientation framework mirrors traditional taxonomy, reveals patterns of morphological continuity, and provides a scalable, quantitative approach for advancing automated fossil identification ...
David Rodríguez González, Consuelo Sendino, Stephen Kershaw, Inés Victoria Rodríguez   +3 more
wiley   +1 more source

NCIVISION: A Siamese Neural Network for Molecular Similarity Prediction MEP and RDG Images. [PDF]

Molecules
Vieira RC, Nascimento LA, Nascimento AA, Alves NRM, Nascimento ÉCM, Martins JBL.   +5 more
europepmc   +1 more source