Results 71 to 80 of about 41,098 (218)

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Bayesian estimation of the orthogonal decomposition of a contingency table

Austrian Journal of Statistics, 2016
In a multinomial sampling, contingency tables can be parametrized by probabilities of each cell. These probabilities constitute the joint probability function of two or more discrete random variables. These probability tables have been previously studied
M.I. Ortego, J. J. Egozcue
doaj   +1 more source

Universal Conductance Fluctuations in Quantum Anomalous Hall Insulators

Advanced Materials, EarlyView.
Universal conductance fluctuations are observed in mesoscopic quantum anomalous Hall insulators. Two distinct fluctuation patterns are identified, arising from different interference processes of bulk and chiral edge states, respectively. These findings unveil rich quantum interference phenomena in quantum anomalous Hall insulators and provide insights
Peng Deng, Peng Zhang, Gang Qiu, Ting‐Hsun Yang, Chang Niu, Yaochen Li, Wenqiang Cui, Yang Feng, Peide D. Ye, Ke He, Kai Chang, Kang L. Wang   +11 more
wiley   +1 more source

Resistance to Overdoping Allows Over 2000 S cm−1 Conductivity in P(g3BTTT) With Anion‐Exchange Doping

Advanced Materials, EarlyView.
Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger, Maximilian M. Horn, Eva Röck, Diego Rosas Villalva, Lize Bynens, Jochen Vanderspikken, Christina Kousseff, Silène Gobeil, Olivier Bardagot, Nesibe Akmanşen‐Kalayci, Sarah H. Tolbert, Iain McCulloch, Wouter Maes, Demetra Tsokkou, Natalie Banerji   +14 more
wiley   +1 more source

Prediction of Air Pollution in the Sultanate of Oman using Machine Learning Approaches

Sistemasi: Jurnal Sistem Informasi
Air pollution has become a major environmental and public-health concern worldwide, and understanding its behaviour is essential for effective monitoring and management. This study investigates air-quality patterns across four regions in the Sultanate of
Shamssa Abdullah Al-Rahbi, Mohd Alodat
doaj   +1 more source

Elastomeric 3D‐Printed Microenvironments Enable Nanonewton Force Measurements in Healthy and Diseased Human Pluripotent Stem Cell‐Derived Neuroepithelial Cells

Advanced Materials, EarlyView.
We present elastomeric three‐dimensional (3D) microstructures fabricated via two‐photon polymerization (2PP) and post‐processed through wet etching, for quantifying nanonewton (nN)‐scale forces applied by healthy and diseased neural cells. The mechanically characterized free‐standing beam architectures enable measurement of traction forces of ...
Pieter F. J. van Altena, Lucia Castillo Ransanz, Ruben H. Guis, Giulia Bergamaschi, Nanne J. Paauw, Urs Staufer, Vivi M. Heine, Angelo Accardo   +7 more
wiley   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Bayesian Inference in the Multinomial Logit Model

Austrian Journal of Statistics, 2016
The multinomial logit model (MNL) possesses a latent variable representation in terms of random variables following a multivariate logistic distribution.
Sylvia Frühwirth-Schnatter, Rudolf Frühwirth   +1 more
doaj   +1 more source

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

Advanced 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, Kwangjun Kim, Jimin Gu, Junseong Ahn, Yongrok Jeong, Ji‐Hwan Ha, Sohee Jeon, Soonhyoung Hwang, Byung‐Ho Kang, Jihyeon Ahn, Jong‐An Choi, Minwook Kim, Yeonguk Jung, Jun‐Ho Jeong, Jong G. Ok, Inkyu Park   +15 more
wiley   +1 more source

Middle censoring in the multinomial distribution with applications. [PDF]

Stat Probab Lett, 2020
Jammalamadaka SR, Bapat SR.
europepmc   +1 more source