Buscar recursos académicos

Abstract The multi-fidelity Kriging model is a promising technique in surrogate-based design, balancing model accuracy and the cost of sample generation by combining low- and high-fidelity data. However, the cost of buil...

Abstract The flavor complexity of red wine stems from diverse aroma compounds and their interactions. Key odorants 2,3,5-trimethylpyrazine (TMP) and furfuryl alcohol (FA) contribute roasted/earthy and sweet/caramel-like ...

Trajectory reconstruction from sparse and noisy GPS data is critical for applications such as urban mobility analysis, transportation planning, and navigation systems. However, large sampling intervals and the typically ...

Abstract Background Adequate housing is a basic human right. The many millions of people experiencing homelessness (PEH) have a lower life expectancy and more physical and mental health problems. Practical and effective ...

Abstract Persistent fault analysis is effective when a single element of the S-box is altered. However, most fault injection techniques tend to induce multiple faults. In such multiple-fault scenarios, existing key recov...

Zernike moments are well-suited for unmanned aerial vehicle scene matching because of their rotation invariance and robustness to noise. However, their high computational complexity poses challenges for meeting the real-...

Abstract Background Uncertainty is an inherent and challenging aspect of medical practice, particularly for first-year residents making the transition from theoretical education to clinical practice. We aimed to identify...

Tensor network formalisms have emerged as powerful tools for simulating quantum state evolution. While widely applied in the study of optical quantum circuits, such as boson sampling, existing tensor network approaches f...

Electromagnetic driving in a honeycomb lattice can induce gaps and topological edge states with a structure of increasing complexity as the frequency of the driving lowers. While the high frequency case is the most simpl...

IntroductionTherapies for metastatic renal cell carcinoma (mRCC) have evolved significantly, making treatment decisions more complex. We used machine learning (ML) to identify subgroups of patients who have a high probab...

In today’s world, where learning a foreign language has become a necessity, students’ perceptions of French play an important role in the language learning process. In this context, metaphors are one of the most effe...

Chip-scale programmable optical signal processors are often used to flexibly manipulate the optical signals for satisfying the demands in various applications, such as lidar, radar, and artificial intelligence. Silicon p...

Background: Thyroid cancer is one of the most prevalent endocrine neoplasms in Brazil, and radioiodine therapy (RAI) is a well-established adjuvant treatment. However, managing RAI can be particularly challenging in pati...

Moving towards a sustainable future, optimising energy systems and resources involves increasingly sophisticated decision-making processes that require balancing technical efficiency with societal, economic and environme...

Land surface and crop models both simulate irrigation, but they differ in their approaches, primarily because they were originally developed for distinct purposes and scales. Through an example case study in a highly irr...

The reference to Descartes in modern scientific literature on emotions is either missing or negative. And yet, one can show that the theories of emotions laid out by William James in the 1890 ’ or by Antonio Damasio on...

Abstract This is the protocol for a Campbell systematic review. The objectives are as follows. This study has three main objectives: (1) To examine the time duration from title registration to publication of the protoc...

Abstract The accurate estimation of parameters is the premise for establishing a high-fidelity simulation model of a valve-controlled cylinder system. Bench test data are easily obtained, but it is challenging to emulate...

Machine learning (ML) and neuromorphic computing have been enforcing problem-solving in many applications. Such approaches found fertile ground in optical communications, a technological field that is very demanding in t...

Abstract Background Comparative genomics and plastome phylogenomics have advanced significantly in recent years, highlighting the diversity, possible admixture, and non-neutral evolution of the predominantly considered n...

ABSTRACT Background and Aims Myocardial injury after non‐cardiac surgery (MINS) is a significant postoperative complication. In 2022, the European Society of Cardiology (ESC) updated its guidelines, recommending periop...

Chi Phan,1 Iden Amiri,1 Marc Levi,2 David Fleischman1 1Department of Ophthalmology, University of North Carolina, Chapel Hill, NC, USA; 2Department of Anesthesiology, University of North Carolina, Chapel Hill, NC, USACor...

Este trabajo se enmarca en un estudio amplio sobre el procesamiento psicolingüístico de causalidad y contracausalidad en el discurso. Su propósito particular es analizar la articulación que se produce durante este pr...

Buildings serve as a key indicator of human land use, and building change detection plays a crucial role in urban growth and shrinkage monitoring, land use planning, and urban development assessment and management. Curre...