Results 21 to 30 of about 1,285,609 (159)
In memory of Professor He Yang
We were all saddened by the loss of Professor He Yang, Associate Editor of Manufacturing Review, who passed away in 27th September 2016. His loss is a huge loss not only to the Chinese research community and his industrial collaborators but also to the ...
Qin Yi
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Threat of Dengue Outbreak in Nepal in Context of COVID-19 Pandemic
The world has been chained with Corona Virus Disease (COVID-19) pandemic today. It has affected more than 200 countries in just about a few months since December 2019. The virus has engulfed the world at a momentum never seen before.
Pallavi Koirala, Dipesh Tamrakar
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We designed and analyzed an interior permanent magnet synchronous motor (IPMSM) to prevent irreversible demagnetization of the permanent magnets (PMs). Irreversible demagnetization of NdFeB PMs mainly occurs due to high temperature, which should thus be ...
Jae-Woo Jung +3 more
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Field Assessment of Gravel Loss on Unsealed Roads in Australia
The gravel loss is a major limitation for unsealed roads and it needs major maintenance annually. The continual process of gravel loss leads to the unsustainability of these roads.
Vasantsingh Pardeshi +2 more
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Tax Loss Offset Restrictions and Biased Perception of Risky Investments [PDF]
We investigate how tax loss offset restrictions affect an investor's evaluation of risky investments under bounded rationality. We analytically identify behavioral tax effects for different levels of loss offset restrictions, tax rate and prospect ...
Mehrmann, Annika, Sureth-Sloane, Caren
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Hearing Loss Caused by HCMV Infection through Regulating the Wnt and Notch Signaling Pathways
Hearing loss is one of the most prevalent sensory disabilities worldwide with huge social and economic burdens. The leading cause of sensorineural hearing loss (SNHL) in children is congenital cytomegalovirus (CMV) infection. Though the implementation of
Sheng-Nan Huang +5 more
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Robust Loss Functions under Label Noise for Deep Neural Networks
In many applications of classifier learning, training data suffers from label noise. Deep networks are learned using huge training data where the problem of noisy labels is particularly relevant. The current techniques proposed for learning deep networks
Ghosh, Aritra +2 more
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Voltage-based droop control of renewables to avoid on-off oscillations caused by overvoltages [PDF]
To achieve the environmental goals set by many governments, an increasing amount of renewable energy, often delivered by distributed-generation (DG) units, is injected into the electrical power system.
De Kooning, Jeroen +3 more
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Coastal communities in New Jersey (NJ), New York (NY), and Connecticut (CT) sustained huge structural loss during Sandy in 2012. We present a comprehensive science-based study to assess the role of coastal wetlands in buffering surge and wave in the tri ...
Y. Peter Sheng +3 more
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Andrew's bridge system: A boon for huge ridge defect in aesthetic zone
Tooth loss may pose a challenge for prosthetics when several missing teeth are associated with huge vertical and horizontal bone defects due to cleft palate, road traffic accidents, congenital defects etc.This case report presents prosthetic ...
Romesh Soni +2 more
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