Im trying to see if one of my road cases will fit the ES8, but all I find on the web are dimensions in mm, not inches. Also, I've had issues in the past where web specs are not exactly in sync with reality.
Will an ES8 owner or expert (nudge to Mike Martin) please take measurements and provide me the exact dimensions in inches so I can assess if I need to get a new road case built for an ES8? I cringe at the thought of dropping another $400 to swap up to the ES8 and then $400+ on top of that for a new road case!
Thanks, I had seen those measurements and know the mm to inch conversion...however, the last time I used website specs for the creation of a road case, it was not exactly right, so I spent more money than I needed and the case was not an exact fit. I was hoping someone can verify the measurements in real time with their ES8.
Nice thing about an "8" series is that, when you're not using it, you can loan it to the U.S. Navy. They like to use them as aircraft carriers when they're running short! All that's missing is the conning tower. The downside is that I sometimes lose things if I put them on top of the Motif 8; once, I couldn't find my Evolver for a week!
Kidding aside, they're well worth the bulk. The action is great, having 88 keys is either a necessity or a luxury (depending upon your point of view), the synth is great (which you already know), and they're built like a tank.
Kidding aside, they're well worth the bulk. The action is great, having 88 keys is either a necessity or a luxury (depending upon your point of view), the synth is great (which you already know), and they're built like a tank.
FYI, my Roland RD600 anvil case is almost perfect size for the ES7, maybe about 3-4" longer than the ES7, but perfect in heighth and depth. I was hoping this same case would hold an ES8, but it does appear the ES8 is about 2" too long and 3.5" too deep for my existing road case. Time for a new case if I do decide to switch for the ES8.
Thanks, I had seen those measurements and know the mm to inch conversion...however, the last time I used website specs for the creation of a road case, it was not exactly right, so I spent more money than I needed and the case was not an exact fit. I was hoping someone can verify the measurements in real time with their ES8.
However, when we examine T3, its motif pair are overlapping each other starting near position 50 (dotted vertical lines) and they are relatively far away from the motifs discovered in T1 and T2. Oh, no!
A quick survey of all current multi-dimensional motif discovery algorithms in the literature (see Section II in Matrix Profile VI) reveals that they are slow, approximate, and brittle to irrelevant dimensions. In contrast, what we need is an algorithm that is fast, exact, and robust to hundreds of irrelevant dimensions and to spurious data. And this is where stumpy.mstump can help!
With this, we can now identify the set of \(d\) values that form the \(i^th\) column vector of the multi-dimensional matrix profile with shape \(d\times 1\) (or \(4\times 1\)). The value for the first dimension is found by extracting the smallest value in each column of the ith_distance_profile and then returning the minimum value in the reduced set. Then, the value for the second dimension is found by extracting the two smallest values in each column of the ith_distance_profile, averaging these two values, and then returning the minimum averaged value in the reduced set. Finally, the value for the \(k^th\) out of \(d\) dimensions is found by extracting the \(k\) smallest values in each column of the ith_distance_profile, averaging these \(k\) values, and then returning the minimum averaged value in the reduced set. A naive algorithm might look something like this:
But then what exactly does each dimension of the multi-dimensional matrix profile tell us? Essentially, the \(k^th\) dimension (or row) of the multi-dimensional matrix profile stores the distance between each subsequence and its nearest neighbor (the distance is computed using a \(k\)-dimensional distance function as we saw above). We should point out that, for the \(k^th\) dimension of the multi-dimensional matrix profile, only a subset of time series dimensions (i.e., \(k\) out of \(d\) dimensions) are selected and this subset of chosen dimensions can change as you vary either the \(i^th\) multi-dimensional subsequence and/or \(k\).
Notice that the (implanted) semantically meaningful motif (thick red lines) can be spotted visually by inspecting the locations of the lowest points (red arrowheads) in either the P1 or P2 matrix profiles but the P3 case has identified the motif (black arrowheads) in an effectively random location, which further reinforces the point that we had made earlier:
Additionally, it may seem counterintuitive, but as demonstrated above, the lower dimensional motif(s) may or may not necessarily be a subset of the higher dimensional motif, since the lower dimensional motif pair could be closer than any subset of dimensions in the higher dimensional motif pair. In general, this is a subtle but important point to keep in mind.
Even with 7 additional decoys added to the mix, the minimum MDL bit size still occurs at \(k = 1\) (red arrowhead) and so we should continue to choose \(P2\) and its motif as the best motif out of all possible \(k\)-dimensional motifs. Again, although the columns of our data have been randomly shuffled around, the corresponding subspace can be easily retrieved via:
Dependent upon the total number of dimensions and the length of your time series dat, it may be computationally expensive to produce the multi-dimensional matrix profile. Thus, you can overcome this by trying mstumped, a distributed and parallel implementation of mstump that depends on Dask distributed:
Instead of returning the smallest average distance, this returns the largest average distance across \(k\) dimensions. However, note that we use np.argmax in order to focus on discords. This ability to return discords is unique to STUMPY and was not published in the original paper.
The Godin Motif takes its compact dimensions from turn-of-the-century parlor guitars. The compact body of the Motif suggests a size instrument but this is a full-scale guitar. There is more to the compact body style of the Motif than comfort, this is a serious guitar with many of the same features that professional guitarists look for in the best handcrafted instruments. The solid cedar top and Custom Polished finish ensure that this guitar will not only sound great when you first receive it but will actually become better sounding with playing over time.
Motif center
The motif perfectly compliments any esl hybrid. It makes a perfectly matched non directional sound that fills the room. With great mid range to high end clarity to amazing response the motif will not let you down. The motif is the center point of any true audiophile bringing the entire system together in perfect harmony. For those that do not wish to go to the stage or have limited room, the motif should be at the top of your list to look at.
Stunning Center Channel Speaker
Everything is right about this speaker- great to look at(a wonderful compliment to my Elite plasma), completely transparent, fast, detailed, and virtually devoid of color. I don't know how anything could be better for this size. Cant wait to get my L/Rs.
Truth in Sound is the guiding philosophy of MartinLogan. Our mission is to use this unique and astonishing technology to render the most complex musical passages as faithfully to the original source as possible. If breathtaking, lifelike audio accuracy is important to you, you owe it to yourself to hear MartinLogan.
Nantucket Sinks' 33 Inch farmhouse fireclay sink with and elegant grapevine motif on its apron! A limited offering from our Vineyard Collection, this sink has an intricate apron design will stand out and make for an unforgettably stylish kitchen! There are many benefits to fireclay. Its glazed surface inhibits bacterial growth more than stainless steel. It is eco-friendly requiring less cleansers. Made and hand finished in Italy, each sink is unique. Due to the firing process, dimensions are nominal and may vary to actual up to .5". Custom cabinet or apron cabinet required.
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Infrared spectroscopy detects the formation of G-quadruplexes in guanine-rich nucleic acid sequences through shifts in the guanine C=O stretch mode. Here, we use ultrafast 2D infrared (IR) spectroscopy and isotope substitution to show that these shifts arise from vibrational delocalization among stacked G-quartets. This provides a direct measure of the sizes of locally ordered motifs in heterogeneous samples with substantial disordered regions. We find that parallel-stranded, potassium-bound DNA G-quadruplexes are limited to five consecutive G-quartets and 3-4 consecutive layers are preferred for longer polyguanine tracts. The resulting potassium-dependent G-quadruplex assembly landscape reflects the polyguanine tract lengths found in genomes, the ionic conditions prevalent in healthy mammalian cells, and the onset of structural disorder in disease states. Our study describes spectral markers that can be used to probe other G-quadruplex structures and provides insight into the fundamental limits of their formation in biological and artificial systems.
It is important to emphasize that the standards below are just for guidance. We never define the precise position regarding the distance between neck stitch and motif on our layouts. We always look at the specific item and adjust the position as needed. The position of a motif cannot be the same on a male and a female model, neither on an S and XL size. The layouts we send to our customers, shows typically L-size unless another size was ordered.
The dimensions (width and height) of the motif, we write on our layout, are approximate and can vary according to the quality and characteristic of the used garment.
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