This study provides the first causal analysis of the impact of expanding Computer Science (CS) education in U.S. K-12 schools on students' choice of college major and early career outcomes. Utilizing rich longitudinal data from Maryland, we exploit variation from the staggered rollout of CS...

Research on cybersecurity security skills is highly relevant in today's digital era, where cybersecurity threats are growing in complexity and frequency. This study aims to evaluate and contrast multiple EU-based cybersecurity skills frameworks to highlight areas of convergence, divergence, and...

In this paper, we explore the utility of classical neural network-based approaches, originally designed for processing 2D images, in semantic segmentation and object recognition tasks within the context of 3D point cloud images generated from handheld video recordings. Our investigation centers...

Experimental evidence suggests that agents in social dilemmas have belief-dependent, other-regarding preferences. But in experimental games such preferences cannot be common knowledge, because subjects play with anonymous co-players. We address this issue theoretically and experimentally in the...

Nowadays, the business environment has become more dynamic, making survival issues more challenging for small and medium enterprises (SMEs). Academic literature proposes digital transformation as a facilitator for SMEs to generate resilience and antifragility to overcome this challenge. However,...

Analyzing the Role of Corporate Social Responsibility in the Interaction between Corporate Reputation and Enterprise Risk Management: Evidence in SMEs in Vietnam -- Factors Affecting Financial Distress of Enterprises: Evidence from Basic Chemical Enterprises Listed in Vietnam -- Components...

1. Generative AI Review Summaries and their Impact on Ambivalence and User Behavior: An Eye-Tracking Study -- 2. Offloading to Digital Minds: How Generative AI Can Help to Craft Jobs -- 3. Deciphering User Gaze Dynamics: Interacting an AI-Driven Platform with an Chatbot for Problem Solving --...

Introduction -- Ad-hoc and Sensor Networks -- Ambient Intelligence -- Analysis of energy consumption patterns -- Based Human-Computer Interaction -- Biomedical Applications in Molecular, Structural, and Function Imaging -- Biomedical Signal Processing and Analysis, Computer-Aided Diagnosis --...

This study provides the first causal analysis of the impact of expanding Computer Science (CS) education in U.S. K-12 schools on students' choice of college major and early career outcomes. Utilizing rich longitudinal data from Maryland, we exploit variation from the staggered rollout of CS...

The European Parliament released the 2030 Digital Compass, identifying the construction sector as one of the five key ecosystems in the digital transformation process. A Construction 4.0 maturity model (C4M) was created to lead companies through their digital transformation journey. This...

The study explores the future of AI-driven media and info-communication as envisioned by experts from all world regions, defining relevant terminology and expectations for 2050. Participants engaged in a 4-week series of surveys, questioning their definitions and projections about AI for the...

There has been a large body of research on strategic alignment between business and information technology, which has also been summarised in several literature reviews. All of these studies describe that business-IT alignment has remained a focal point among business and IT leaders. However,...

In this paper we present simulations for international kidney exchange programmes (KEPs). KEPs are organised in more than ten countries in Europe to facilitate the exchanges of immunologically incompatible donors. The matching runs are typically conducted in every three months for finding...

The minimum sum-of-squares clusering is the most widely used clustering method. The minimum sum-of-squares clustering is usually solved by the heuristic KMEANS algorithm, which converges to a local optimum. A lot of effort has been made to solve such kind of problems, but a mixed integer linear...

Estimating missing judgements is a key component in many multi-criteria decision making techniques, especially in the Analytic Hierarchy Process. Inspired by the Koczkodaj inconsistency index and a widely used solution concept of cooperative game theory called the nucleolus, the current study...

Qualifications for several world championships in sports are organised such that distinct sets of teams play in their own tournament for a predetermined number of slots. Inspired by a recent work studying the problem with the tools from the literature on fair allocation, this paper provides an...

E kutatás híreket, illetve közösségimédia-diskurzusok szentimentjeit elemzi a mesterséges intelligenciához (MI) kapcsolódó hírek szempontjából. A gyűjtés a SentiOne platformján keresztül történt 2020.01.01. és 2023.01.01. között. A teljes adathalmaz cikkekből/posztokból,...

A modern médiakutatás figyelme a technológiai fejlődésnek köszönhetően az utóbbi évtizedben a képek igazságértékére irányult: a manipulált fényképek témakörén belül sajátos csoportot képviselnek a portréfotók, mivel az emberi arc egy olyan speciális vizuális inger,...

The aim of this paper is to investigate how commonly used 2D digital layouts can be transformed into 3-dimensional dashboards with the effect of reducing cognitive load. To this end, we compared user performance metrics, pupil dilation data as well as subject-reported qualitative measures in a...

The primary goal of the paper is to introduce the Relaxed TS Fuzzy model transformation, a method that enhances the original TS Fuzzy model transformation in two ways. First, it focuses on achieving a more efficient reduction of the number of antecedent fuzzy sets– hence, the fuzzy rules of...

Stakeholder-driven development has become significant in the software industry. As a result, product managers have taken on a crucial role in IT projects by considering the demands of stakeholders, business objectives and knowing available technological solutions. The theoretical section of this...

A mesterséges intelligencia mint hívószó egyre gyakrabban jelenik meg az élet minden területén. Leggyakrabban abban a kontextusban találkozunk vele, hogy a mesterséges intelligencia megszüntethet-e egyes szakmákat. Jelen tanulmányunkban más oldalról vizsgáljuk meg a témát, és a...

To overcome incompatibility issues, kidney patients may swap their donors. In international kidney exchange programmes (IKEPs), countries merge their national patient–donor pools. We consider a recently introduced credit system. In each round, countries are given an initial “fair”...

The core success of digital transformation among small and medium enterprises (SMEs) still needs to be clarified and comprehensively discussed. Meanwhile, SMEs cannot exploit digital advantages due to their limited strategic empirical and practical knowledge. This study aims to (1) describe the...

We introduce a new two-sided stable matching problem that describes the summer internship matching practice of an Australian university. The model is a case between two models of Kamada and Kojima on matchings with distributional constraints. We study three solution concepts, the strong and weak...

As China has launched the Digital Silk Road (DSR) initiative, the focus of Chinese overseas activities has subsequently been complemented by the global expansion of Chinese technology companies. While the vast majority of Central and Eastern European (CEE) countries share the concerns as regards...

In a housing market of Shapley and Scarf, each agent is endowed with one indivisible object and has preferences over all objects. An allocation of the objects is in the (strong) core if there exists no (weakly) blocking coalition. We show that, for strict preferences, the unique strong core...

While debate is heating up regarding the development of AI and its perceived impacts on human society, policymaking is struggling to catch up with the demand to exercise some regulatory control over its rapid advancement. This paper aims to introduce the concept of entangled AI that emerged from...

This study explores the integration of generative artificial intelligence (AI) with Exercise Generation Algorithm+ (EGAL+), a multi-objective harmony search (HS) metaheuristic-based algorithm capable of composing high-quality exercises. These exercises are characterized by their diversity,...

This paper presents an examination of design prin- ciples for 3D Virtual Reality (VR) environments, with a focus on enhancing digital workflows. Employing objective data, the study sets out to clarify the primary design considerations for crafting effective 3D VR spaces. Through empirical...

This study elucidates the formulation and validation of a dynamic hybrid model for wind energy forecasting, with a particular emphasis on its capability for both short-term and long-term predictive accuracy. The model is predicated on the assimilation of time-series data from past wind energy...

A comprehensive serious game application has been designed and implemented to examine the capacity and effective- ness of short-term auditory and visual memory, otherwise known as working memory in human subjects. Participants engaged in an adaptation of the well-known paired association game...

In this study, a Neural Network-Enhanced Gene Modification Optimization Technique was introduced for multi- objective energy resource management. Addressing the need for sustainable energy solutions, this technique integrated neural network models as fitness functions, representing an...

Virtual commissioning (VC), defined as the simulation and testing of systems in a virtual environment before physical implementation, plays a key role in addressing the challenges of integrating and validating complex systems efficiently and effectively. This paper focuses on the topic of...

This article addresses the ethical challenges posed by generative artificial intelligence (AI) tools in higher education and explores the first responses of universities to these challenges globally. Drawing on five key international documents from the UN, EU, and OECD, the study used content...

This research investigates the impact of digitalization on contribution to Gross Domestic Product, in the context of the Hungarian National Infocommunication Strategy adopting the European Union’s Digital Agenda. 1045 small and medium enterprises were included in the research, using data from...

A labdarúgó-világbajnokság selejtezőit a Nemzetközi Labdarúgó-szövetség (FIFA) hat regionális konföderációja szervezi, amelyek mindegyikéből előre adott számú válogatott jut ki a világbajnokságra. Tanulmányunkban egy, a konföderációk múltbeli teljesítményének...

Large language models (LLMs) are a potential substitute for human-generated data and knowledge resources. This substitution, however, can present a significant problem for the training data needed to develop future models if it leads to a reduction of human-generated content. In this work, we...

This study investigates ChatGPT's impact on effectiveness, efficiency, and problem-solving among higher education students in law, business informatics, and media and communication. Involving 304 students divided into experimental (using ChatGPT) and control groups for an open-book test, the...

The technological shift we witness today is indicated by the emergence of a global infrastructure combining information systems with the existing physical infrastructure where this integration is increasingly enabled by artificial intelligence (AI). The safety and control of this fast-paced...

Purpose This study aims to extend the dynamic capabilities (DCs) perspective to the project management context. The authors present supporting evidence for analyzing the creation process of DCs during the redesign of the software development process, and they examine the impact of those...

Uncovering customer insights (CI) is indispensable for contemporary marketing strategies. The widespread availability of user-generated content (UGC) presents a unique opportunity for firms to gain a nuanced understanding of their customers. However, the size and complexity of UGC datasets pose...

Can we use data on the biographies of historical figures to estimate the GDP per capita of countries and regions? Here, we introduce a machine learning method to estimate the GDP per capita of dozens of countries and hundreds of regions in Europe and North America for the past seven centuries...

The goal of the linear law-based feature space transformation (LLT) algorithm is to assist with the classification of univariate and multivariate time series. The presented R package, called LLT, implements this algorithm in a flexible yet user-friendly way. This package first splits the...

Open source software ecosystems consist of thousands of interdependent libraries, which users can combine to great effect. Recent work has pointed out two kinds of risks in these systems: that technical problems like bugs and vulnerabilities can spread through dependency links, and that...

This article presents an investment recommender system based on an Adaptive NeuroFuzzy Inference System (ANFIS) and pre-trained weights from a Multimodal Neural Network (MNN). The model is designed to support the investment process for the customers and takes into consideration seven factors to...

Avatars are commonly used in digital platforms to provide a visual representation of individual users to each other. Generally, avatar design in the past has focused on achieving visual fidelity and realism of social interactions. In this paper, we broaden the concept of avatars to incorporate...

The use of machine learning techniques to identify problem gamblers has been widely established. However, existing methods often rely on self-reported labeling, such as temporary self-exclusion or account closure. In this study, we propose a novel approach that combines two documented methods....