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Abstract Background This study investigates the factors associated with eighth-grade mathematics achievement in Ghana, addressing the research gap by comparing student- and school-level influences. Given the persistently...

Improving students’ mathematical wellbeing is important because it supports their positive feelings toward mathematics and contributes to better learning outcomes. However, limited research has explored which factors i...

IntroductionIdentifying early predictors of vocabulary and math skills can support children’s academic development. Here, we investigated indirect longitudinal paths promoting children’s math and receptive vocabulary...

Mathematical resilience is crucial for students’ academic success, yet many teaching methodologies overlook the anxiety and negative attitudes frequently associated with learning mathematics. This study examines the im...

Math anxiety undermines students’ motivation and achievement and is a pervasive challenge in mathematics education. Although prior studies have shown that cognitively demanding instruction is associated with lower anxi...

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...

This study investigates the long-term aging effects and structural degradation mechanisms of photovoltaic (PV) modules integrated into smart city furniture, with a particular focus on panels of 10 W, 25 W, and 40 W nomin...

Sixth-generation (6G) mobile networks are expected to be AI-native by design, with intelligence embedded directly into the Radio Access Network (RAN) control loop through architectures such as O-RAN, near-real-time RAN I...

Real-time streaming pipelines are increasingly central to data-driven product decisions, yet the data quality literature has focused predominantly on batch systems. We present ADQM (Adaptive Data Quality Monitor), a fram...

This study compares seven quantum algorithms—Variational Quantum Eigensolver (VQE), Variational Quantum Deflation (VQD), Quantum Approximate Optimization Algorithm (QAOA), Quantum Amplitude Estimation (QAE), Quant...

The increasing integration of inverter-interfaced renewable energy sources has significantly changed the dynamic characteristics of modern power systems, resulting in a substantial decline in effective system inertia and...

An electromagnetic transient (EMT) simulation framework is developed by integrating the Parallel-in-Time algorithm with a data-oriented Entity–Component–System (ECS) architecture. The proposed method aims t...

Understanding how semantic information flow reorganizes market topology remains an open challenge in financial network analysis. Prior work typically emphasizes price correlations or sentiment polarity, but rarely quanti...

Terrestrial evaporation ($E$) plays a crucial role in the water, energy, and carbon cycles and modulates climate change through multiple feedback mechanisms. While process-based models estimate $E$ using satellite-derive...

This article explores the impact of electromagnetic interference from consumer electronics and common household appliance on the performance of Global Navigation Satellite System (GNSS) receivers in smartphones. As GNSS ...

Emergency evasive maneuvers unfold in short near-limit windows in which combined-slip saturation, load transfer, and rapidly varying friction make onset-computation budget and model mismatch critical to collision-avoidan...

Mitigating anthropogenic methane emissions is widely recognized as an effective strategy to reduce near-term climate warming. Here, we use satellite observations from MethaneSAT (2024–2025) to characterize methane emis...

Full self-attention in video diffusion transformers scales quadratically with the spatio-temporal token count, making processing high-resolution video generation prohibitively slow and memory-intensive. We introduce NABL...

This paper introduces a voltage regulation technique for an isolated power electronic converter that interconnects multiple transformers in series or parallel configurations using switches. This topology, known in the li...

To fully exploit the advantages of GNSS-R small satellites (large quantity, short revisit cycle) and address key challenges of multisource GNSS-R data—track-wise distribution, uneven spatial coverage, and observat...

In this paper, we introduce the notion of pseudo-Chebyshev functions over finite fields. In brief, such functions correspond to a generalization of the $n$ -th Chebyshev polynomial, where $n$ is not restricted to inte...

This systematic review of 79 CubeSat antenna studies reveals a progressive “workflow attrition cascade” (68% $\rightarrow 70$ % $\rightarrow 87$ % $\rightarrow 92$ %) wherein electromagnetic design sophisti...

Sign language is a primary communication channel for millions of people who are deaf or hard of hearing, yet generating signer video directly from text remains difficult because video diffusion models are expensive to tr...

Despite achieving high volumetric overlap, pixel-based deep learning segmentation approaches do not ensure true vascular connectivity, leading to fragmentations structurally analogous to Branch Retinal Artery Occlusions....