The waveguide-coupled plasmonic nanocavity is known to be a deep subwavelength platform that combines on-chip compatibility with a strong light-matter interaction at the resonance of local field enhancement; however, the resonant local field enhancement provides no magneto-optical activity. We conceptually investigate the deep subwavelength flow-resonant modes of the waveguide-coupled plasmonic nanocavity at which the local field enhancement deviates from the strongest and, instead, the power flow reaches its maximum. These flow-resonant modes exhibit resonant enhancements of magneto-optical activity and the inverse Faraday effect. Frequency-selective enhancement of light-magnetization interaction at the flow-resonant modes allows us to propose multichannel all-optical writing and reading of magnetic bits in nanophotonic integrated circuits. Our findings would open the way towards on-chip deep subwavelength magneto-optical devices and opto-magnetic recording with a great potential for high-speed on-chip memory.

Ji-Song Pae, Song-Jin Im*, Kil-Song Song, Chol-Song Ri, Kum-Song Ho, and Yong-Ha HanDepartment of Physics, Kim Il Sung University, Taesong District, 02-381-4410 Pyongyang, Democratic People's Republic of Korea


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The interventional treatment of cerebral aneurysm requires hemodynamics to provide proper guidance. Computational fluid dynamics (CFD) is gradually used in calculating cerebral aneurysm hemodynamics before and after flow-diverting (FD) stent placement. However, the complex operation (such as the construction and placement simulation of fully resolved or porous-medium FD stent) and high computational cost of CFD hinder its application. To solve these problems, we applied aneurysm hemodynamics point cloud data sets and a deep learning network with double input and sampling channels. The flexible point cloud format can represent the geometry and flow distribution of different aneurysms before and after FD stent (represented by porous medium layer) placement with high resolution. The proposed network can directly analyze the relationship between aneurysm geometry and internal hemodynamics, to further realize the flow field prediction and avoid the complex operation of CFD. Statistical analysis shows that the prediction results of hemodynamics by our deep learning method are consistent with the CFD method (error function

Recently, the methodology of deep learning is used to improve the calculation accuracy of the Reynolds-averaged Navier-Stokes (RANS) model. In this paper, a neural network is designed to predict the Reynolds stress of a channel flow of different Reynolds numbers. The rationality and the high efficiency of the neural network is validated by comparing with the results of the direct numerical simulation (DNS), the large eddy simulation (LES), and the deep neural network (DNN) of other studies. To further enhance the prediction accuracy, three methods are developed by using several algorithms and simplified models in the neural network. In the method 1, the regularization is introduced and it is found that the oscillation and the overfitting of the results are effectively prevented. In the method 2, y+ is embedded in the input variable while the combination of the invariants is simplified in the method 3. From the predicted results, it can be seen that by using the first two methods, the errors are reduced. Moreover, the method 3 shows considerable advantages in the DNS trend and the smoothness of a curve. Consequently, it is concluded that the DNNs can predict effectively the anisotropic Reynolds stress and is a promising technique of the computational fluid dynamics.

Two years later, Wiley, Flowdan, Jamakabi and Breeze recorded a song entitled "Terrible", which record stores perceived to be a follow-up to "Know We". Wiley decided he didn't want to release it under the Pay As U Go name, so Flowdan suggested the name Roll Deep: a homage to the phrase 'rolling deep', popular within bashment songs. Flowdan cites the introduction of Dizzee Rascal to Roll Deep and his subsequent popularity as the reason why Pay As U Go eventually disbanded and Roll Deep rose to prominence.[2]

In October 2006, Roll Deep participated in a project of Tate Modern museum where various groups and songwriters were invited to choose a work that inspired them from the gallery's collection of modern art and then write a track about it.[4] Roll Deep's submission, Searching, was inspired by the Anish Kapoor sculpture Ishi's Light, and can be heard on headphones in front of the work or on the Tate Tracks website.[5]

The group got their first UK No. 1 single with the song "Good Times" in May 2010 and the group's second UK No. 1 single was "Green Light" in August 2010. Their next single was "Take Control", featuring R&B singer Alesha Dixon, which charted at No. 29 on 7 November 2010.[6] Roll Deep released their next single "Picture Perfect" (produced by Agent X) peaking at No. 19 in the indie charts.

The rain eventually stopped, and the sun emerged, reminding me that everything worked out perfectly in the end. This experience was a perfect example of being in the present moment and going with the flow of life, not resisting it but allowing it to cleanse my mind and soul.

For me, this was a moment of flow. Instead of judging myself or suppressing my tears, I let them flow freely. I walked in the rain, and for that moment, I conquered the fear of rejection and judgment, realizing that what truly mattered was the pain I was feeling, the pain the song had awakened within me, and the emptiness of missing someone so much that nothing could fill that void except, perhaps, the sound of their voice. I resisted the urge to call him, a sign that maybe I was not entirely healed yet.

The best learning happens in flow states. This is especially true in music, which exists to bring about flow in both performers and listeners. Custodero lists the factors in a music learning environment that promote flow:

Ambient yet energetic, this is the perfect song to get you anchored into your body. It begins slowly, allowing time to sit and connect with your breath. As it builds, this song encourages subtle movements to get your body ready to move. Allow it to wash over you and encourage some big deep breaths, releasing any tension from the day. Listen to it here!

Slowly building heat now, this song is perfect for those first Sun Salutations and flowing movements. The deep back beat sounds like the beating heart and makes me feel so present in my body. Listen here!

This song is perfect for the more active portion of your practice. Maggie Rogers has such a unique voice, one that is so pure and beautiful, I always have at least one of her songs in my playlist. For this song, I usually make my way through a few Chaturangas, Warrior II, Reverse Warrior and Triangle on each side. It feels like a beautiful, empowered dance. Give it a listen here!

Get those final stretches in while Jill Scott puts your whole life into perspective. This song feels like a resolution, a reminder to deeply feel your emotions, and forgive yourself for any shortcomings. Listen here!

Since one must decide how many flows to use in a project I thought that I would attempt to summarise factors to keep in mind when making that decision. Hopefully I have done this well enough for it to do more help than harm.

A flow is a collection of adjacent entered music (including potentially any number of empty bars in metred music). Each flow is represented as a box in the bottom panel in Setup mode and is given a default name (Flow 1, Flow 2 etc) but you can name each flow there as you wish.

In a new blank Dorico project in which players have been added there is a single flow which displays staves for each player. If the user enters music without adding additional flows all the music will be added to that single flow. The user can then choose at any point in the music to split entered music into two separate flows and can also add new blank flows. Finally a user can re-order flows as a way of re-arranging their music.

Splitting music in Dorico into two or more flows enables Dorico to complete various operations by selecting one or more flows as the target for the operation. For example one or more flows could be chosen for export. Or an empty flow could be the destination for imported data. Flows also enable the user to quickly locate key points in the music for viewing, editing and playback.

Although flows are used primarily for organisation and operations flows can assist the user with two formatting tasks:

-by default bar numbers restart at bar 1 for each flow. This means that flows are suited to being used to distinguish movements in a score, or numbers in a musical etc.

-flows provide a way of telling Dorico the points in the music at which you wish to automatically generate titles. The titles are automatically generated from flow names.

-PAGE ALLOCATION - allocating music to separate flows ensures that by default each flow in a score layout starts on a new page (by default each flow starts in a new frame and each page has by default a single music frame).

-TITLES - Using and naming multiple flows ensures that any titles that we wish to use at the start of flows on all layouts are generated automatically from the names we give to flows (instead of having to enter these titles on each individual layout). If we turn away from using flows to receive this for free we must create frame breaks at every bar which requires a new title to exist above it and then manually enter each and every such title on each and every layout.

CAUTIONARY SIGNATURES -it is not possible to show cautionary key signature or time signature changes in the final bar of a flow - the warning bar and the bar in which the change or changes take place must be part of the same flow

PS It would be great if Dorico allowed a user to merge two flows. And it would be great if each flow displayed as a box at the bottom of the screen in Setup mode had two tick boxes within that box - one to turn off restarting bar numbers at 1 and one to turn off starting that flow in a new frame (each would be on by default?). These various features would encourage people to use flows for their organisational benefits without fear of repercussions.


PPS I believe it would also be an improvement if there was a conceptual introductory video in the hub. In which concepts like players, instruments, layouts and flows, and the deeper purpose behind each mode (instead of just what happens in each), is introduced. 2351a5e196

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