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Extended-spectrum β-lactamases (ESBLs), especially those of the CTX-M family, significantly contribute to antibiotic resistance in Escherichia coli. While CTX-M variants are well-characterized in clinical settings, thei...

People learn from experience, but with considerable individual differences in the degree and type of behavioral adjustments resulting from a given experience. Error driven learning rules provide an elegant framework for ...

Abstract Background Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy in which immune dysregulation and metabolic remodeling are common features. Laminin subunit alpha 3 (LAMA3), a component of lamini...

The Fast Steering Mirror (FSM) is a critical beam steering component in precision optical systems. However, its design often relies on repetitive finite element analysis (FEM) and experimentation due to the lack of unive...

This study investigates the capability of two-dimensional Computational Fluid Dynamics (CFD) simulation to estimate the temperature distribution pattern and velocity contours in a single slope solar still that uses soybe...

We briefly summarize the most popular theoretical/computational techniques being used to model lithium-ion batteries and suggest some future tasks/challenges in the area. Fil: Leiva, Ezequiel Pedro M.. Consejo Nacional d...

Homogenizationmodels are widely used to predict the evolution of texture (crystal preferred orientations) and resulting anisotropy of physical properties in metals, rocks, and ice. They fail, however, in predicting two m...

Computational modeling of protein-protein interactions (PPIs) is a high priority because it is essential for understanding nearly all cellular functions and for addressing the limitations of time-consuming experimental m...

The rapid expansion of whole-genome sequencing (WGS) has highlighted the important contribution of noncoding variants to human disease, yet their pathogenic mechanisms remain difficult to resolve. Traditional statistical...

In environmental management, developing a scientific and methodological approach to the design and optimization of technological systems remains a pressing issue. The proposed approach is based on the integration of onto...

Abstract Long-range dependency processing is the core challenge of sequence modeling, and traditional sequence modeling algorithms suffer from information decay and low parallel computing efficiency in ultra long sequenc...

Forest ecosystems play a fundamental role in sustaining global water cycles and ecological security, and accurate modeling of their eco-hydrological processes is essential for forest management, watershed regulation, and...

In this work, a coupled formulation for modeling multiple piezoelectric energy harvesters based on vortex-induced vibrations phenomenon at arbitrary locations was presented and experimentally validated. The mathematical ...

Plant disease diagnosis in field settings is challenged by subtle symptomology, high inter-class visual similarity, and class imbalance, making automated detection particularly difficult. While deep learning models achie...

Soft robotics is a rapidly evolving field that leverages compliant and deformable materials to create robotic systems capable of safe human interaction, environmental adaptability, and bio-inspired motion. Unlike rigid r...

Abstract Background Optimization of biotechnological processes is traditionally limited by time-consuming trial-and-error approaches and the complexity of simultaneously optimizing multiple, often conflicting objectives....

Abstract This paper presents an effective approach for lower-order (LO) modeling of an electric vehicle–integrated off-grid microgrid (OMG) system. The seventh-order system (SOS) of the OMG is reduced to a second-order...

Abstract The latent features of RNA sequences are crucial for our understanding of their functions. Thus, Transformer-based nucleotide language models have received widespread attention; however, the O(n²) complexity of...

Mathematics and computer science play a pivotal role in modern biology. Dynamical models based on differential equations are particularly adapted to describe dynamic behaviors of many biological processes. However, tradi...

Abstract The storage and retrieval of wave spectra for boundary conditions in nested wave modeling are computationally intensive due to the substantial storage requirements of each spectrum. A recently developed method (...

Lead optimization (LO) is essential to fulfill the efficacy and safety requirements of drug-based targeted therapy. The ease with which water may be locally removed from around the target protein crucially influences LO ...

Social determinants of health (SDOH) are the conditions in which people live, work, and play, and the wider set of factors (e.g., social and economic systems and policies) that shape a person's daily life. SDOH can diffe...

Abstract Simulating the response of granular materials under realistic loading scenarios is essential for ensuring the reliability of geotechnical infrastructure. This task is particularly challenging because natural soi...

Modeling data that falls within the [0,1] domain is a huge task in most scientific disciplines. This is because most classical distributions do not address the issues of complex data shapes as well as managing the dynami...