Results 91 to 100 of about 1,617,765 (306)
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Perceptions of time in relation to climate change [PDF]
, 2014 Time is at the heart of understanding climate change, from the perspective of both natural and social scientists. This article selectively reviews research on time perception and temporal aspects of decision making in sociology and psychology.
Boomsma, C +3 more
core +2 more sources
When Biology Meets Medicine: A Perspective on Foundation Models
Advanced Intelligent Discovery, EarlyView.Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Are analysts? loss functions asymmetric? [PDF]
Recent research by Gu and Wu (2003) and Basu and Markov (2004) suggests that the well-known optimism bias in analysts? earnings forecasts is attributable to analysts minimizing symmetric, linear loss functions when the distribution of forecast errors is ...
D Peel, M A Clatworthy, P F Pope
core +4 more sources
Forecaster Behaviour and Bias in Macroeconomic Forecasts [PDF]
, 2007 This paper documents the presence of systematic bias in the real GDP and inflation forecasts of private sector forecasters in the G7 economies in the years 19902005.
Batchelor, Roy
core
American Journal of Community Psychology, EarlyView.Abstract Substance use, specifically opioid and methamphetamine use, is of increasing concern among American Indian (AI) populations in the Great Plains. This community‐driven participatory study investigated the impacts of substance use and community‐defined needs in treating addiction.
Brynn Luger +8 more
wiley +1 more source
Optimism Bias in Growth Forecasts—The Role of Planned Policy Adjustments
IMF Working Papers, 2020 Are IMF growth forecasts systematically optimistic? And if so, what is the role of planned policy adjustments on this outcome? Are program forecasts as biased as surveillance forecasts?
Kareem Ismail +2 more
semanticscholar +1 more source
Australian Journal of Social Issues, EarlyView.ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings +2 more
wiley +1 more source
The Psychology Underlying Biased Forecasts of COVID-19 Cases and Deaths in the United States
Frontiers in Psychology, 2020 This paper discusses the impact of a series of psychological phenomena on the U.S. response to COVID-19, focusing on forecasts of cases and deaths.
Hersh Shefrin
doaj +1 more source