Results 21 to 30 of about 3,543 (266)

Magnetism and transport in transparent high-mobility BaSnO3 films doped with La, Pr, Nd, and Gd [PDF]

open access: yesPhysical Review Materials, 2019
We have explored the effect of magnetic rare-earth dopants substitutionally incorporated on the Ba sites of ${\mathrm{BaSnO}}_{3}$ in terms of electronic transport, magnetism, and optical properties. We show that for ${\mathrm{Ba}}_{0.92}{R}_{0.08}{\mathrm{SnO}}_{3}$ thin films (where $R=\text{La,}\phantom{\rule{4.pt}{0ex}}\text{Pr,}\phantom{\rule{4.pt}
Urusa S. Alaan   +13 more
openaire   +5 more sources

Structure and Properties of Ln2MoO6 Oxymolybdates (Ln = La, Pr, Nd) Doped with Magnesium

open access: yesCrystals, 2021
The literature data and the results obtained by the authors on the study of the structure and properties of a series of polycrystalline and single-crystal samples of pure and Mg-doped oxymolybdates Ln2MoO6 (Ln = La, Pr, Nd) are analyzed.
Ekaterina Orlova   +6 more
doaj   +1 more source

Medium- and high-spin band structure of the chiral-candidate nucleus134Pr [PDF]

open access: yesPhysical Review C, 2011
Medium- and high-spin states of ${}^{134}$Pr were populated using the ${}^{116}$Cd(${}^{23}\text{Na},5n$) reaction and studied with the GAMMASPHERE spectrometer. Several new bands have been found in this nucleus, one of them being linked to the previously observed chiral-candidate twin-band structure.
J. Timár   +19 more
openaire   +1 more source

ACF Based Region Proposal Extraction for YOLOv3 Network Towards High-Performance Cyclist Detection in High Resolution Images

open access: yesSensors, 2019
You Only Look Once (YOLO) deep network can detect objects quickly with high precision and has been successfully applied in many detection problems. The main shortcoming of YOLO network is that YOLO network usually cannot achieve high precision when ...
Chunsheng Liu   +3 more
doaj   +1 more source

Estimating Soil Organic Matter Content Using Sentinel-2 Imagery by Machine Learning in Shanghai

open access: yesIEEE Access, 2021
Soil organic matter (SOM) plays an important role in the field of climate change and terrestrial ecosystems. SOM in large areas, especially in urban areas, is difficult to monitor and estimate by traditional methods.
Xinxin Wang   +4 more
doaj   +1 more source

High-Power Broadly Tunable 3- $\mu\hbox{m}$ Fiber Laser for the Measurement of Optical Fiber Loss

open access: yesIEEE Photonics Journal, 2015
We demonstrate a $\hbox{Ho}^{3+}$, $\hbox{Pr}^{3+} $ co-doped fluoride fiber laser that produces an output power of 7.2 W, a 150-nm tuning range, and a narrow linewidth of $<\ 0.14$ nm using a power-scalable $\hbox{Yb}^{3+} $ fiber-laser-pumped ...
Stephanie Crawford   +2 more
doaj   +1 more source

A 3D‐Printed Blister Test Platform for Quantifying Biointerface Adhesion Mechanisms

open access: yesAdvanced Materials Interfaces, EarlyView.
A 3D‐printed blister platform enables energy‐resolved characterization of soft hydrogel–rigid interfaces. Integrating precision pressure control with hyperelastic modeling directly quantifies adhesion energy (G) and R‐curve toughening. Results reveal that modulating hydrogel concentration and surface roughness drives a tunable transition from cohesive ...
Yoontae Kim   +4 more
wiley   +1 more source

Control Law for Two-Process Flexible Manufacturing Systems Modeled Using Petri Nets

open access: yesMathematics
The deadlock control problem in flexible manufacturing systems (FMSs) has received much attention in recent years. The formalism of the Petri net is employed to effectively model, analyze, and control deadlocks in an FMS case study.
Yang Yang   +3 more
doaj   +1 more source

A Direction‐Aware Piezo‐Transmittance Strain Sensor via Engineered Alignment of Carbon Nanotubes (CNTs)

open access: yesAdvanced Materials Technologies, EarlyView.
A direction‐aware piezo‐transmittance strain sensor is realized through the engineered alignment of carbon nanotubes. This anisotropic architecture instantaneously modulates optical transmittance, achieving ultra‐high sensitivity and exceptionally low hysteresis. By effectively eliminating signal crosstalk to precisely decouple multidirectional strains,
Byeongmin Kang   +15 more
wiley   +1 more source

Adversarial Disentanglement Enables Robust Purchase Intention Prediction

open access: yesIEEE Access
This paper addresses purchase intention prediction in imbalanced tabular e-commerce data. A primary technical constraint is representation entanglement, where observed session features mix latent intent with routine behavioral patterns.
Wei Wang, Liqing Xu, Min Qu
doaj   +1 more source

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