Results 61 to 70 of about 4,167 (242)

Assessing public support for degrowth: survey-based experimental and predictive studies

open access: yesThe Lancet Planetary Health
Summary: Background: Degrowth argues that high-income economies should reduce harmful production and prioritise wellbeing. Although degrowth is increasingly seen as essential to tackling climate change, the extent of public support for this economic ...
Dario Krpan, PhD   +3 more
doaj   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

Factors associated with non-beneficial treatments in end of life hospital admissions: a multicentre retrospective cohort study in Australia

open access: yesBMJ Open, 2019
Objective To quantitatively assess the factors associated with non-beneficial treatments (NBTs) in hospital admissions at the end of life.Design Retrospective multicentre cohort study.Setting Three large, metropolitan tertiary hospitals in Australia ...
Nicholas Graves   +9 more
doaj   +1 more source

Judges and Mass Litigation - a (Behavioural) Law and Economics Perspective

open access: yes, 2014
Judicial duties have for decades extended far beyond the scope of traditional adjudication, judges being progressively called upon to occupy the role of social engineers. Meanwhile, contexts in which judges evolve have transformed: mass damage nowadays tends to multiply and create new challenges not only for legal actors, but also for society at large.
openaire   +3 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Between ethics and law

open access: yesSociety and Business Review, 2019
PurposeThe purpose of this paper is to offer a critical and broad perspective on how transnational companies (TNCs) behave in the global context, focussing its attention on the controversial issue of tax avoidance in the UK. It pursues this aim by taking into account not only economic globalisation, mobility of capital and tax havens but also ethics ...
openaire   +4 more sources

Evolution of Physical Intelligence Across Scales

open access: yesAdvanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu   +7 more
wiley   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath   +4 more
wiley   +1 more source

Seeds of change: The impact of Ethiopia's direct seed marketing approach on smallholders' seed purchases and productivity

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract While multiple factors explain low adoption rates of improved varieties by small‐scale farmers in sub‐Saharan Africa, a key supply‐side constraint is the limited availability of seed embodying new traits in the volume, quality, price, and timeliness required by farmers. This constraint is partly attributable to classical failures in the market
Dawit Mekonnen   +5 more
wiley   +1 more source

Behavioural Phenomena of Family Firm Control Diversity and R&D Investment with Moderating Role CEO Compensation

open access: yesPsychology Research and Behavior Management, 2023
Sadeen Ghafoor,1 Muhammad Zulfiqar,2 Man Wang,1 Chunlin Wang,3 Md Rashidul Islam4 1School of Accounting, Dongbei University of Finance and Economics, China and China Internal Control Research Center, Dalian, Liaoning, People’s Republic of China ...
Ghafoor S   +4 more
doaj  

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