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Abstract The pre-training molecular representation learning (MRL) has shown considerable potential in computer-aided drug discovery. Recently, many multimodal pre-training MRL methods have been presented, incorporating m...

Abstract Ordinary thinkers don’t know every necessary truth - they are not “logically omniscient.” Furthermore, they don’t know everything that follows from their beliefs - they are not “deductively omniscient....

Background: Students’ prior mathematical knowledge plays a critical role in their success in university mathematics, yet it is often treated diagnostically rather than instructionally. Aim: This study examines studen...

Artificial intelligence, particularly large-language models, increasingly informs clinical decision-making, from triage to treatment recommendations. While promising efficiency and objectivity, these systems can encode a...

The recent expansion of biodiversity recording through citizen science projects represents a valuable tool for enriching our knowledge of biota. Given the rapid ecosystem changes driven by human activities, plant communi...

This article presents the results of an analysis of the metalinguistic comments of a group of students on the choice of the temporal auxiliary in FFL. The objective of this study is to verify whether the use of the rule ...

Ethnomathematics, which integrates mathematical practices grounded in cultural traditions, has gained prominence as an approach to fostering culturally responsive learning in elementary mathematics education. This system...

In recent years, large language models and agent systems based on them have been considered a promising tool for the digital transformation of public administration. However, the practical effectiveness of such systems i...

Globally, there is a recurring discourse that higher education systems need to transform. In South Africa, this discourse is articulated in the post-apartheid agenda of redress and equity. Before 1994, higher education w...

Organizations have become highly reliant on a range of data sources that span structured, semi-structured, and unstructured data types. These repositories allow large-scale storage for faster ingestion and analytics but ...

IntroductionAddressing “wicked problems"—complex societal challenges without clear boundaries or solutions—requires deep integration of knowledge across disciplines and sectors (transdisciplinary collaboration). Wh...

Abstract Graph Neural Networks have emerged as a powerful paradigm for artificial intelligence driven drug discovery, offering molecular representation learning that surpasses many conventional approaches. Traditional ex...

The rising demand for food, escalating water security, the impact of climate change, and global policy initiatives have heightened research focus on sustainability in agricultural water management. However, the field suf...

Abstract In the present study, we examine how optical solitons behave in a synthetic nonlocal nonlinear medium. An analytical investigation is conducted into the nonlinear dynamical model that represents the propagation ...

Against a backdrop of growing environmental awareness and the need to mitigate climate change impacts, urban spatial planning and management policies inspired by European sustainable development recommendations are gaini...

Digital phantoms are virtual representations of the human body used in medical research to test equipment, train medical professionals and develop or validate algorithms. These models can be created from ‘real-world’...

Accurate estimates of the potential number of daily visitors are an important parameter in the planning of transportation infrastructure, allowing the development of appropriate solutions for specific planning cases. In ...

IntroductionReliable classification of lung nodules from computed tomography (CT) images remains a challenging problem due to variations in image intensity, noise, and unstable feature representations during deep network...

Common variable immunodeficiency (CVID) is the most prevalent symptomatic primary immunodeficiency and remains underdiagnosed in Brazil due to limited knowledge of its genetic landscape. Since 2024, the Centro Nacional d...

Abstract BackgroundAcute respiratory infections (ARIs) remain a significant global health challenge and are the second leading cause of disease burden and mortality. Early warning systems (EWS) play a key rol...

This article argues that hesychasm, as articulated by Gregory Palamas, constitutes a genuine locus theologicus when ‘experience’ is construed within a disciplined epistemological and ecclesial framework. Against bo...

The remarkable success of large language models (LLMs) in code generation has transformed software development, with systems like Codex, CodeGen, and StarCoder demonstrating strong capabilities in synthesizing functional...

Power transformers are critical components of power systems, and their safe and reliable operation is essential for both industrial and residential applications. Real-time condition monitoring and early fault detection a...

IntroductionGaming engages more than 3.6 billion youth and adults worldwide. Gaming in its current form facilitates rich social exchanges through diverse platforms, transforming how participants communicate, collaborate,...