Results 131 to 140 of about 2,331,313 (323)

Development of Washing Machine Dehydration Unbalance Control Specifications Through Bayesian Optimization

Applied Sciences
Optimizing control specifications to prevent unbalance during the dehydration process in washing machine development is a complex task that consumes significant time and resources.
Cheolu Choi, Yongwan Kwon, Dongjoong Kang, Changseop Kim, Sabum Jung   +4 more
doaj   +1 more source

Strong tuning of Rashba spin orbit interaction in single InAs nanowires

, 2012
A key concept in the emerging field of spintronics is the gate voltage or electric field control of spin precession via the effective magnetic field generated by the Rashba spin orbit interaction.
Awschalom D. D., Bryllert T., Datta S., Dayeh S. A., Dayeh S. A., Dhara S., Dong Liang, Du J., Estévez Hernández S., Ford A. C., Gao X. P. A., Grundler D., Hansen A. E., Hao X. J., Jiang X., Knap W., Ko H., Koga T., Koo H. C., Liang D., Liang D., Lin P. A., Lu C., Mak K. F, Miller J. B., Nitta J., Petersen G., Quay C. H. L., Sakr M. R., Schroer M. D., SchäPers Th., Siddons G. P., Storm K., Weitz R. T., Wernersson L. E., Xuan P.A. Gao, Zutic I.   +36 more
core   +1 more source

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

FEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

Universal Direct Tuner for Loop Control in Industry

IEEE Access, 2019
This paper introduces a direct universal (automatic) tuner for basic loop control in industrial applications. The direct feature refers to the fact that a first-hand model, such as a step response first-order plus dead time approximation, is not required.
Robin De Keyser, Cristina I. Muresan, Clara M. Ionescu   +2 more
doaj   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Backreaction on Moving Mirrors and Black Hole Radiation [PDF]

, 1996
We compute the effect of quantum mechanical backreaction on the spectrum of radiation in a dynamical moving mirror model, mimicking the effect of a gravitational collapse geometry.
Tuning, Niels, Verlinde, Herman
core   +2 more sources

Fine-tuning protein language models boosts predictions across diverse tasks

bioRxiv
Prediction methods inputting embeddings from protein Language Models (pLMs) have reached or even surpassed state-of-the-art (SOTA) performance on many protein prediction tasks. In natural language processing (NLP) fine-tuning large Language Models (LLMs)
Robert Schmirler, M. Heinzinger, B. Rost
semanticscholar   +1 more source

Trends in Dermatopolymyositis Mortality, 1999–2022: A Nationwide Population‐Based Study, United States

Arthritis Care &Research, EarlyView.
We report the national burden of dermatopolymyositis mortality over the past quarter century using the US national vital statistics data. Age‐standardized mortality rates for dermatopolymyositis decreased at an annual rate of 3.8% each year, which was higher than the annual percent decrease for deaths from all other causes.
Elizabeth Matz, Ram R. Singh
wiley   +1 more source