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Abstract Background Long COVID is an infection-associated chronic condition with uncertain evolution, leading to ambiguity in case definitions and various hypotheses about its pathophysiology. Despite this diversity, cau...

Prediction invariance of causal models under heterogeneous settings has been exploited by a number of recent methods for causal discovery, typically focussing on recovering the causal parents of a target variable of inte...

Few-shot object detection (FSOD) recently garnered increasing attention in remote sensing images (RSIs). Although FSOD has achieved success in natural sense, the large size and complex backgrounds of RSIs make FSOD espec...

The main goal of the paper is to investigate relation between economic development and energy consumption in Croatia. This paper examines the casual relationship, using Granger test, between gross domestic products (GDP)...

"In this paper, the numerical treatment of magnetic loss of NiZn, MnZn, Ni2Y, and NiZnCu ferrite and their composites, by using Krameres–Kronig relations, is investigated. The complex magnetic permeability spectra for ...

The research examines the causal relationship between supply chain efficiency and sustainable financial performance based on the evidence from the literature dealing with a transition from financial decision-making bas...

This paper examines the causal relationship between interest rate differential (IRD) and international short-term capital flow (SCF) to determine whether such a relationship in China supports the Mundell-Fleming model. W...

As artificial intelligence (AI) becomes embedded in higher education operations, AI literacy is increasingly positioned as a meta-skill enabling institutional innovation; however, its contribution to academic management ...

Abstract The complexity of student social adaptability development mechanisms in the context of physical education reform urgently requires in-depth exploration. Grounded in self-determination theory as the primary theor...

Abstract An interpretable deep inference forecasting model is designed to improve the forecasting capability of sea surface variables. By incorporating the air‐sea coupling mechanism as a dynamic constraint, the interp...

BackgroundThe research on human microbiota-associated (HMA) animal models is an important tool for studying the human microbiome and holds great potential for elucidating disease mechanisms and microbe-based therapeutic ...

Financial diagnosis represents an essential component of financial analysis, identifying both the strengths and vulnerabilities of an entity’s activity, while proposing measures to perpetuate favorable elements and imp...

Abstract We present for the first time within the cloud physics context, the application of wavelet phase coherence analysis to disentangle counteracting physical processes associated with the lead‐lag phase difference...

Abstract Object classification in decentralized environments is critically hindered by data heterogeneity and privacy constraints, which cause models to learn spurious, client-specific correlations rather than generaliza...

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...

Abstract Objective This study aimed to investigate the independent predictive value of the uric acid-to-HDL-C ratio (UHR) for metabolic syndrome (MS) in the elderly, develop an optimized diagnostic model, and assess whet...

Abstract Accurate monitoring and prediction of Chlorophyll-a (Chl-a) concentrations are critical for protecting desalination systems from algal blooms. This study presents an advanced framework employing the Graph Neural...

En el periodo comprendido entre 1970 y 2000, varios países latinoamericanos alcanzaron importantes logros en dos indicadores sociales, la esperanza de vida y el nivel educacional. Tras la revisión bibliográfica de tra...

Abstract Large-scale mining equipment operates under extreme conditions, making accurate fault prediction and remaining useful life (RUL) estimation essential for predictive maintenance strategies. This paper proposes a ...

This paper examines the interrelationship between environmental sustainability practices, human capital formation, and economic vulnerability within the Chikankari Washermen sector in Lucknow, India, with a particular fo...

The twin star configuration, where two neutron stars share the same mass but exhibit different radii, can arise from a strong first-order phase transition in the dense-matter equation of state (EoS). This first-order pha...

Abstract Background Genetic aberrations are among the critical driving factors of lung cancer. Importantly, the impact of genetic variations on proteomic dysregulations with the goal of characterizing potential diagnosti...

As is well known, the integration of small Unmanned Aircraft Systems (sUAS) or “drones” into the National Airspace System (NAS) has captured significant industry, academic, regulatory and media attention. For sUAS th...

IntroductionThe escalating frequency of infectious disease outbreaks underscores the urgent need for reliable forecasting systems to support timely public health interventions. Existing approaches—ranging from statisti...