Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
Atomically ordered intermetallic nanoparticles are promising for catalytic applications but are difficult to produce because the high-temperature annealing required for atom ordering inevitably accele...
Non Fungible Tokens (NFTs) are digital assets that represent objects like art, collectible, and in-game items. Finally, we investigate the predictability of NFT sales using simple machine learning alg...
This research explores High-performance thermoelectrics and challenges for practica..., contributing new insights to the field of Physics & Space Science.
IMPORTANCE: Updated estimates of non-small cell lung cancer (NSCLC) in the US are needed. A smaller proportion of patients aged 65 years or older with stage IV NSCLC were treated.
This research explores Perovskite solar cells with atomically coherent interlayers..., contributing new insights to the field of Physics & Space Science.
This research explores ESMO Clinical Practice Guideline for the diagnosis, staging..., contributing new insights to the field of Medicine & Biology.
BACKGROUND: The prognoses with respect to mortality and hepatic and nonhepatic outcomes across the histologic spectrum of nonalcoholic fatty liver disease (NAFLD) are not well defined. CONCLUSIONS: In...
Abstract The AlphaFold Protein Structure Database (AlphaFold DB, https://alphafold.ebi.ac.uk) is an openly accessible, extensive database of high-accuracy protein-structure predictions. AlphaFold DB p...
This research explores Predicting cancer outcomes with radiomics and artificial int..., contributing new insights to the field of Artificial Intelligence.
Abstract Background Osteoporosis affects all sections of society, including families with people affected by osteoporosis, government agencies and medical institutes in various fields. Conclusion Acco...
Pretraining large neural language models, such as BERT, has led to impressive gains on many natural language processing (NLP) tasks. Further, in conducting a thorough evaluation of modeling choices, b...
Drones, or general UAVs, equipped with cameras have been fast deployed with a wide range of applications, including agriculture, aerial photography, and surveillance. We expect the benchmark largely b...
This special issue covers a wide range of topics from the area of Computer Vision, Pattern Recognition, and Machine Learning. This breadth of scope is reflected by the papers included in this special...
This research explores Advanced honeycomb designs for improving mechanical properti..., contributing new insights to the field of Physics & Space Science.
The rapidity of innovations has meant that reproductive medicine today represents clear example of how complex but essential an adaptation of clinical practice and laboratory techniques to new knowled...
This research explores Infectious disease in an era of global change, contributing new insights to the field of Medicine & Biology.
Importance: Short-term and long-term persistent postacute sequelae of COVID-19 (PASC) have not been systematically evaluated. The most common PASC involved functional mobility impairments, pulmonary a...
Antibiotics have made it possible to treat bacterial infections such as meningitis and bacteraemia that, prior to their introduction, were untreatable and consequently fatal. In this review, both the...
This research explores When and why PINNs fail to train: A neural tangent kernel pe..., contributing new insights to the field of Artificial Intelligence.
Cancer-associated fibroblasts (CAFs), a stromal cell population with cell-of-origin, phenotypic and functional heterogeneity, are the most essential components of the tumor microenvironment (TME). Her...