Results 81 to 90 of about 112,281 (246)

Imaging Photonic Resonances within an All‐Dielectric Metasurface via Photoelectron Emission Microscopy

open access: yesAdvanced Photonics Research, EarlyView.
Photonic resonances within a dielectric metasurface are investigated using photoelectron emission microscopy (PEEM) and finite‐difference time‐domain simulations. An electron inelastic mean free path of 35 ± 10 nm is extracted from comparisons between microscopy and simulations.
Andrew R. Kim   +9 more
wiley   +1 more source

Cost-effectiveness analysis of CTZ/TAZ for the treatment of ventilated hospital-acquired bacterial pneumonia and ventilator-associated bacterial pneumonia in Japan

open access: yesBMC Health Services Research
Background Resistant bacterial infections, particularly those caused by gram-negative pathogens, are associated with high mortality and economic burdens.
Risako Takaya   +3 more
doaj   +1 more source

E3Solver: decision tree unification by enumeration [PDF]

open access: yesarXiv, 2017
We introduce E3Solver, a unification-based solver for programming-by-example (PBE) participating in the 2017 edition of the SyGuS Competition. Our tool proceeds in two phases. First, for each individual example, we enumerate a terminal expression consistent with it. Then, we unify these expressions using conditional expressions in a decision tree.
arxiv  

Spherical and Aspherical Lenses for Boosting the Performance of Terahertz Imaging Systems

open access: yesAdvanced Photonics Research, EarlyView.
This study investigates the enhancement of terahertz (THz) detection through the terajet effect using mesoscale dielectric lenses of various geometries. Spherical, aspherical, and cubic polytetrafluoroethylene lenses are evaluated at 0.15 and 0.3 THz, demonstrating significant improvements in responsivity and noise reduction.
El Hadj Abidi   +7 more
wiley   +1 more source

Fostering uncertainty tolerance in anatomy education: Lessons learned from how humanities, arts and social science (HASS) educators develop learners' uncertainty tolerance

open access: yesAnatomical Sciences Education, Volume 16, Issue 1, Page 128-147, January/February 2023., 2023
Abstract Uncertainty tolerance, individuals' perceptions/responses to uncertain stimuli, is increasingly recognized as critical to effective healthcare practice. While the Covid‐19 pandemic generated collective uncertainty, healthcare‐related uncertainty is omnipresent.
Michelle D. Lazarus   +3 more
wiley   +1 more source

Learning Optimal Decision Trees from Large Datasets [PDF]

open access: yesarXiv, 2019
Inferring a decision tree from a given dataset is one of the classic problems in machine learning. This problem consists of buildings, from a labelled dataset, a tree such that each node corresponds to a class and a path between the tree root and a leaf corresponds to a conjunction of features to be satisfied in this class.
arxiv  

Analytical Description of Nanowires: Morphing Wurtzite Structure Cross Sections to Match Arbitrary Convex Shapes

open access: yesAdvanced Theory and Simulations, EarlyView.
Analytic morphing of wurtzite nanowire cross sections to arbitrary shapes yields numbers of nanowire atoms, of bonds between these and of nanowire interface bonds, plus the nanowire cross section area. The ratios of above variables help to interpret any spectroscopic nanowire data which depend on diameter and cross section shape, and can be applied to ...
Dirk König, Sean C. Smith
wiley   +1 more source

Tenecteplase for ischemic stroke at 4.5 to 24 hours without thrombectomy: a cost-utility analysis from the perspective of Chinese healthcare system

open access: yesFrontiers in Neurology
BackgroundTenecteplase improves functional outcomes in acute ischemic stroke (AIS) patients treated 4.5 to 24 h after symptom onset who do not undergo thrombectomy. However, its cost-utility remains unexamined.MethodsA hybrid model combining a short-term
Maolin Chen   +5 more
doaj   +1 more source

Crystal Structure Prediction of Cs–Te with Supervised Machine Learning

open access: yesAdvanced Theory and Simulations, EarlyView.
High‐throughput density functional theory calculations combined with machine learning models are employed to predict stable Cs– Te binary crystals. By systematically evaluating various structural descriptors and learning algorithms, the superiority of models based on atomic coordination environments is revealed.
Holger‐Dietrich Saßnick   +1 more
wiley   +1 more source

Cost-effectiveness analysis of XELOX versus XELOX plus bevacizumab for metastatic colorectal cancer in a public hospital school

open access: yesBMC Cancer, 2017
Background Metastatic colorectal cancer imposes a substantial burden on patients and society. Over the last years, progresses in the treatment have been made especially due to the introduction of monoclonal antibodies, such as bevacizumab which, on the ...
Andrea Queiróz Ungari   +3 more
doaj   +1 more source

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