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Background Cognitive–behavioural theories of panic disorder posit that panic attacks arise from a positive feedback loop between arousal-related bodily sensations and perceived threat. In a recently developed computati...

Abstract Modern antenna design is an intrinsic undertaking. It relies heavily on expert knowledge and computational tools, especially electromagnetic (EM) simulation software. The most daunting phase is the development o...

This paper proposes an innovative automated multiphysics Microelectromechanical systems (MEMS) co-optimization platform integrating the embedded reduced-order modeling offered by Coventor MEMS+ with MATLAB’s numerical ...

Recent advancements in helmet design demonstrate that mimicking natural models can enhance both aerodynamics and safety protection. Thus, this paper comprehensively reviews the bio-inspired helmet designs reported in the...

La integración entre biotecnología y nanotecnología conforma la bionanotecnología que es una disciplina que permite potenciar la utilización de biomoléculas con materiales abióticos de diseño a escala nanométric...

Abstract Purpose The past two decades witnessed increased use of risk-adjusted standardized measures such as standardized mortality ratios (SMRs) and standardized incidence ratios (SIRs) in institutional comparisons betw...

Nonlinear response conception in rotating machinery, particularly in systems with squeeze film dampers (SFDs), pose significant challenges for established time-domain numerical methods due to bifurcations and critical po...

IntroductionThis article investigates the linguistic and computational challenges of detecting antisemitism in digital communication, integrating discourse-analytical and artificial intelligence (AI) perspectives. It con...

Abstract Energy activities are the primary source of carbon dioxide emissions. Real-time and accurate monitoring of their carbon emission dynamics is a crucial foundation for governments and enterprises in formulating ca...

Abstract ent-Kaurane diterpenoids (ent-KTs) represent a structurally diverse class of natural products renowned for their antitumor and anti-inflammatory bioactivities. The C-14 hydroxyl modification is crucial for enhan...

Abstract Advances in AI are transforming decision making teams. A fundamental open question is whether AI agents elicit social conformity effects comparable to human peers. If so, a critical challenge is determining whet...

Ray tracing is an important computational method in electromagnetism. To improve the efficiency of electromagnetic simulation, spatial division structures such as the Bounding Volume Hierarchy (BVH) are often used to acc...

As a key element of human settlements and fundamental features in maps, buildings play a critical role in urban planning and environmental monitoring. Automatically extracting buildings from remote sensing images is of s...

Significant research interest in hybrid nanofluids stems from their extensive applications in areas like industrial cooling and biomedical engineering. The present investigation focuses on a hybrid Casson nanofluid, a no...

A common feature in biological neuromuscular systems is the redundancy in joint actuation. Understanding how these redundancies are resolved in typical joint movements has been a long-standing problem in biomechanics, ne...

Abstract Background Gastrointestinal stromal tumors (GISTs) are primarily treated with tyrosine kinase inhibitors (TKIs) such as imatinib. However, the development of drug resistance remains a critical clinical challenge...

Underwater gas pipelines are vital for energy transportation but are often subjected to harsh environments, and any leakage can have significant environmental consequences. Substantial underestimation of gas plume format...

Abstract/Resumen: Trypanosoma cruzi and Plasmodium falciparum are the etiologic agents of Chagas disease and Malaria, respectively. Cysteine proteases play key roles in the pathogenesis and survival of these parasites, s...

Investigations into the collection of seafloor massive sulfides have had a relatively late start, with few related achievements. Moreover, most existing studies have focused on the collection of spherical particles. Ther...

The RAG1 and RAG2 genes encode proteins essential for initiating V(D)J recombination in T cell receptor and immunoglobulin gene loci. Biallelic pathogenic variants in these genes are implicated in a spectrum of immunodef...

Abstract Collaborative filtering and neural recommendation models have advanced substantially over the past decade, yet they frequently struggle to capture the fine-grained structure of user preferences and the rich, mul...

INTRODUCTION: Accurate power quality disturbances (PQDs) classification is critical for maintaining grid stability and reliability in modern power systems. However, existing deep learning methods predominantly rely on si...

Autonomous underwater vehicles (AUVs) operating in harsh, communication-limited underwater environments require robust fault diagnosis systems to ensure mission success and safety. Existing model-based approaches suffer ...

Some theoretical studies abouth dynamic compression of powder aluminum are described. 3-D Finite elements of 27nodes are employed in spherical construction by flat circular plates. The first step is the testing of a prov...