artificial intelligence

Contemporary Business Management

The changing global business environment, technological advancements, and evolving stakeholder expectations have transformed the principles and practices of contemporary business management. Organizations increasingly require effective managerial strategies, informed decision-making, innovative business models, and sus...

From digital skilling to sustainable performance: How climate entrepreneurship and attitudes toward artificial intelligence shape the future of SME technological transitions

Bridging the monitoring gaps: transfer learning and explainable artificial intelligence for groundwater table estimation in data-scarce transboundary aquifers

Interpretable machine learning model for analyzing the effect of building characteristics on cost with Extreme Gradient Boosting and Shapley Additive Explanations

A building consists of many components, each with its own financial impact. A clear evaluation of these impacts is possible through the analysis of the components that make up construction costs. This study aims to evaluate and interpret the combined use of construction cost components for different scenarios using mac...

Emergence and development of observation practices in AI-assisted plant adaptation learning

Observation is a fundamental scientific practice in science learning, particularly for understanding gradual biological phenomena such as plant adaptation. Despite the increasing integration of artificial intelligence (AI) in education, limited research has examined how AI-supported tools influence students' observatio...

CONTEMPORARY REQUIREMENTS FOR MORAL EDUCATION TEACHERS IN AN INNOVATIVE EDUCATIONAL ENVIRONMENT

This article analyzes the contemporary requirements imposed on Moral Education teachers in an innovative educational environment. The digitalization of the education system, the widespread implementation of the competency-based approach, and the integration of artificial intelligence and information and communication t...

The Observer-Relative Knowability Hypothesis

The concept of unknowability is commonly discussed relative to the cognitive limits of human observers. This paper asks whether a boundary established for one Observer Intelligence can be generalized to heterogeneous observers without an additional assumption of perceptual or epistemic equivalence. It first proposes ob...

The Abstraction Fixation Mismatch Hypothesis

Humans and artificial systems routinely use abstractions to make complex relations tractable. Trees organize relations spatially through hierarchy; pipelines organize processes temporally through sequence. Such structures can function as optional aids for representation, explanation, inspection, or coordination. The ar...

Polymer-Linked Nanoparticle Networks Running on Heat Can Act as Computing Devices

Abstract Developing physical neural network (PNN) hardwares is important to next-generation artificial intelligence systems. Phononic devices─using heat current to encode and process information─is one of the solutions to neuromorphic computing. In this work, we backmap an artificial neural network (ANN) into a PNN sim...

Artificial intelligence ethical awareness and academic integrity among medical students at the University of Khartoum: a cross-sectional study

Integration of artificial intelligence in healthcare and medical education implies significant opportunities along with significant ethical challenges. Despite the substantial medical student uptake of artificial intelligence globally, little comprehensive assessments of ethical awareness are being conducted. This stud...

Institutional context and the employment effects of artificial intelligence in European SMEs

Using novel data from the Survey on Access to Finance of Enterprises covering the last quarter of 2025 and an Inverse Probability Weighted Regression Adjustment approach, we assess the conditional treatment effects of artificial intelligence (AI) use on the likelihood of employment growth among Small and Medium-sized E...

Resource subsidies mediated by non-native species: a review

Non-native species are recognized as one of the major drivers of biodiversity change globally, with profound impacts on ecosystem functions and services. Despite the high number of studies on non-native species published, mainly in the last two decades, an often-overlooked aspect is their role as mediators of resource...