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El objetivo de este artículo es entender cómo se forman las maneras de sentir, pensar y actuar (la subjetividad) en el ámbito laboral. Para ello estudiamos, analizando entrevistas semiestructuradas y material document...

Amid the convergence of technological, macroevolutionary, and demographic singularities, conventional approaches to analyzing and forecasting economic growth are increasingly losing relevance and predictive power. The su...

BackgroundPancreatic cancer (PC) is characterized by a highly immunosuppressive microenvironment, limiting the efficacy of immunotherapy. T-cell regulation plays a pivotal role in anti-tumor immunity. However, the progno...

The evolution of metropolitan cities and increasing travel demand impose stringent requirements on traffic assignment methods. Multi-agent reinforcement learning (MARL) approaches outperform traditional methods in modeli...

The purpose of the paper is to examine the structural and functional transformation of the digital tourism ecosystem during the transition from traditional intelligent assistants, such as LLM-based chatbots, to a new par...

In the present paper it is argued that differences among economic models are basically differences in their selected part of the real world these models try to account for. Therefore, their range of applicability to a ta...

The present article covers the conceptual foundations of innovation activity financing in the current context. Due to the fact that the innovation development of all agents of global economy play a crucial role to provis...

This study comprises two distinct but parallel investigations concerning Haemaphysalis longicornis in Korea: an exploratory ecological survey of vector density across 20 sites in 2023 and a laboratory-based screening of ...

Autonomous microrobotic navigation in life sciences is highly challenging due to environmental disturbances, unpredictable phenomena, diverse obstacles, and dynamic changes. These significantly limit motion of microrobot...

This article presents an agent-based model designed to explore the development of cooperation in hunter-fisher-gatherer societies that face a dilemma of sharing an unpredictable resource that is randomly distributed in s...

Anticipating labour supply and demand remains relevant due to significant transformations in the labor market caused by socio-economic, demographic, and technological factors. In addition, infrastructure destruction, job...

Federated learning (FL) is a pivotal paradigm for financial institutions to collaboratively train models while preserving data privacy, yet standard frameworks are hampered by a triad of challenges: vulnerability to pois...

ABSTRACT Background Skin cancer is one of the most prevalent malignancies worldwide, characterized by the abnormal growth of skin cells and significant clinical challenges. Conventional treatments—including surgery, ch...

Abstract We propose a method that enables large language models (LLMs) to control embodied agents through the generation of control policies that directly map continuous observation vectors to continuous action vectors. ...

Convolutional Neural Network Twin Arm Robot for Automated Packing of Electronic Components is an intellectual robotic system that is developed as a COCA (Collaborative Operation Control Agent) operational handler of the ...

Abstract In power generation and industries where CO2 emissions are unavoidable, carbon capture, utilisation, and storage is an important tool to offset climate change. Many carbon capture agents are blends of aqueous am...

Abstract Recognizing tactical formations is a critical task in professional football performance analytics. However, existing methods often fail to capture the dynamic and continuously evolving nature of modern tactical ...

Abstract Research in power system is persistently hampered by the scarcity of high‐fidelity, public grid data due to security and privacy constraints. Existing unimodal synthesis methods fail to harmonize physical laws...

Abstract Computer models and simulations have provided enormous benefits to researchers in the natural and social sciences, as well as many areas of philosophy. However, to date, there has been little attempt to use comp...

IntroductionStudent engagement is a pivotal element in educational psychology, significantly impacting learning outcomes and academic achievement. Traditional methods for analyzing student engagement often rely on static...

The drinkable water scarcity has been increased worldwide due to the mixing of numerous hazardous organic and inorganic pollutants in water bodies, urging to find sustainable water remediation techniques. In this work, t...

Mandatory lane changes (MLCs) pose significant challenges to trajectory planning at intersections, where vehicles are required to change lanes mid-block to reach designated turn lanes before the stop bar. MLCs often gene...

Youth are the next generation of the nation who need to be well prepared to become agents of peace and future leaders. The city of Makassar is a multicultural area and is therefore vulnerable to potential friction among ...

Lonomia obliqua Walker 1855 (Lepidoptera: Saturniidae) is a species of moth which larvae are responsible for the lonomism, a form of envenomation that has been occurring in Brazil since the 1980s. Despite the importance ...