Recently, deep learning density networks have become the standard baselines for financial time-series forecasting. In this paper, we introduce density networks structured using the two-stage volatilit...
Background: Mutations in intermediate filament genes cause over 100 human diseases, yet predicting clinical severity from genotype remains unreliable due to phenotypic variability and the prevalence o...
Background:Mosquito-borne viruses are increasingly contributing to the global burden of human diseases. Among more than 500 recognized arboviruses, approximately 150 infect humans, and around 50 affec...
Introduction: Recombinant protein production is pivotal across diverse industries, necessitating efforts to enhance both quantity and quality. Objectives: We employed gas chromatography coupled with m...
Concrete durability is strongly affected by microcracking, which facilitates the ingress of water and chloride ions and accelerates deterioration. Cellulose fibers represent a sustainable alternative ...
Background: First-episode psychosis (FEP) is a critical stage in psychotic disorders, in terms of clinical and functional outcome. Deficits in facial emotion recognition and impaired clinical insight ...
This study aimed to optimize the preparation conditions of Trichoderma harzianum inoculant and evaluate its degradation efficiency of alachlor in aqueous environments, as well as the toxicity of the r...
Under the ETCBC encoding system, morphological parsing is a rigorous recon- struction of internal word structures rather than a simple tagging task. While contemporary NLP paradigms emphasize performa...
The exponential growth in mobile data traffic necessitates revolutionary approaches in optical backhaul technology. This paper introduces a transformative 400G Dual-Polarisation QPSK optical backhaul ...
The atmospheric boundary layer (ABL) is a turbulent “vertical conversation” that couples motions across height and time in strongly stability-dependent ways, yet most learning systems neither reveal n...
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