Results 21 to 30 of about 4,544,868 (266)
Benchmarking universal machine learning interatomic potentials on elemental systems
npj Computational MaterialsThe rapid emergence of universal machine learning interatomic potentials (uMLIPs) has transformed materials modeling. Nevertheless, a comprehensive understanding of their generalization behavior across configurational space remains an open challenge.
Hossein Tahmasbi +3 more
doaj +1 more source
‘This funny place’: Uncovering the ambiguity of saltmarshes using a multimodal approach
People and Nature, 2022 Saltmarshes are increasingly recognised for the range of benefits they offer, including coastal protection, flood regulation and carbon sequestration. However, much less is known about how people perceive these environments and their importance for non ...
Merryn Thomas +3 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
A Benchmark for Virus Infection Reporter Virtual Staining in Fluorescence and Brightfield Microscopy
Scientific DataDetecting virus-infected cells in light microscopy requires a reporter signal commonly achieved by immunohistochemistry or genetic engineering. While classification-based machine learning approaches to the detection of virus-infected cells have been ...
Maria Wyrzykowska +4 more
doaj +1 more source
International Journal of Distributed Sensor Networks, 2022 Load balancing is of great significance to extend the longevity of wireless sensor networks, due to the inherent imbalanced energy overhead in such networks.
Zeyu Sun +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks +5 more
wiley +1 more source
A digital photography dataset for Vaccinia Virus plaque quantification using Deep Learning
Scientific DataVirological plaque assay is the major method of detecting and quantifying infectious viruses in research and diagnostic samples. Furthermore, viral plaque phenotypes contain information about the life cycle and spreading mechanism of the virus forming ...
Trina De +3 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Primary cutaneous anaplastic large cell lymphoma (pcALCL) is a rare pediatric CD30‐positive T‐cell lymphoproliferative disorder with an excellent prognosis, but its genomic drivers are poorly defined. We report three children with skin‐limited disease demonstrating striking molecular heterogeneity, including NPM::ALK, NUP214::FRK, and a novel ...
Shoshana Greenberger +7 more
wiley +1 more source
Semi-supervised Learning for Classification of Polarimetric SAR Images Based on SVM-Wishart
Leida xuebao, 2015 In this study, we propose a new semi-supervised classification method for Polarimetric SAR (PolSAR) images, aiming at handling the issue that the number of train set is small.
Hua Wen-qiang, Wang Shuang, Hou Biao
doaj +1 more source
Understanding the Meaning of Understanding
CoRR, 2018 Can we train a machine to detect if another machine has understood a concept? In principle, this is possible by conducting tests on the subject of that concept. However we want this procedure to be done by avoiding direct questions. In other words, we would like to isolate the absolute meaning of an abstract idea by putting it into a class of ...
openaire +2 more sources