Profile Prism
Abele Beardsley
I have used several sets of these demon eyes, paired with Morimoto XBT control module, and the mounting is simple, and low profile. Easily controlled with the Morimoto app, and adds a great look to the headlights. This has been my go to for demon eyes!
I'm trying to patch some generic fixtures I'm borrowing just to learn the software. One of the fixtures has multiple prism wheels but I can't figure out how to set the PRISM2 attribute when creating the profile.
Hitting the special Steelseries key + Y changes between five different colors. These correspond to "profiles" i.e. customizable configurations of key bindings (default: all keybindings are identical).
Once you activate this part of the software, the five separate colours that were previously functioning fine out of the box are deleted. Now you have just one single color profile that is set by Prism.
TL;DR - the promised five separate profiles of keybindings are unusable due to the Prism software component, which only lets you set a one-size-fits-all color profile (i.e. you could be inside profile two, or profile five, or profile one: you cannot tell by looking at the colors of the keys, as intended).
Pressure, clay mineral content, and unit classification profiles for Site C0002 (after Tobin et al. 2015, 2020; Underwood 2017a, b; Kitajima et al. 2020). The lithospheric pressure is calculated from the overburden stress, which is derived from the rock density, and the hydrostatic pore pressure is calculated using a fluid density of 1.024 g/cm3
Depth profile of the friction coefficient obtained via analysis of the cuttings at Site C0002. Friction coefficient obtained at a displacement of 8 mm is shown by orange filled circles, and the lower and upper data (orange open circle) are obtained at displacements of 2 mm and 16 mm, respectively. The black open circles, squares, and diamond indicate data from previous studies at Site C0002 (Takahashi et al. 2014; Okuda et al. 2021; Bedford et al. 2021)
Cross section of the Kumano transect across the Nankai accretionary prism (modified after Tobin et al. 2020), constructed using data from various drilling sites during the NanTroSEIZE expeditions, with the frictional properties at Sites C0002 (this study, Takahashi et al. 2014), C0009 (Takahashi et al. 2014), C0004/10 (Roesner et al. 2020), C0006 and C0011 (Okuda et al. 2021), and C0012 (Ikari et al. 2013a)
So, is this a glitch? As you can see [pic linked below] I have a full ranked Mote Prism, I also created a second Mote Amp and leveled it again ... but my profile says I don't have one. I have no idea what this means.
Profile Picture showing no Mote Amp owned even with a Max Rank Mote Prism.
Had this same argument with a friend after I asked if he had leveled the Mote Amp which is listed under Primary weapons.
Seems to be a glitch because essentially the Amp is only a prism, not a primary secondary or melee.
The in situ continuous strength of the crust is one of the most fundamental and vital information in various research fields of earth sciences. In geological and geophysical research in subduction zones in particular, the rock strength is necessary for evaluating development mechanisms of accretionary prism/forearc basins1,2, spatiotemporal variations in the stress state3,4,5, and fault reactivation potentials (slip tendency)6,7. The triaxial compression experiment is a common approach to measuring the strength of rock core materials recovered by deep-sea drilling8,9. Assumptions of the in situ stress conditions, however, are necessary for experimental strength measurements. As the experiments depend on core quality and availability, the experimentally determined strength data is intermittent and its continuous profile cannot be visualised. Even at the Nankai Trough, the most studied plate subduction zone by the Integrated Ocean Drilling Program (IODP)10, we were forced to utilise either the strength indirectly estimated through the empirical correlation between the strength and P-wave velocity or the experimental strength from limited cores11,12,13. A similar situation also arises in most offshore drilling sciences14. Despite its importance, the depth profile of in situ strength has been practically left unknown. Therefore, we propose a method for the direct and continuous measurement of the relative in situ rock strength using only drilling performance parameters. Drilling parameters can be easily obtained from any drill hole, even in non-coring and non-logging operations or in challenging environments.
Here, we define a background-removed mechanical parameter, the equivalent strength (EST), derived from only Tr, bit depth, and pipe rotation speed measured at the surface of the rig during drilling. The proposed method was applied to drilling data obtained from IODP Site C0002 at the Nankai Trough, which is the main site for deep drilling to the seismogenic zone, to evaluate the continuous in situ strength in the Nankai accretionary prism. This method allows estimation of the strength without assuming uncertain in situ conditions (e.g., stress and fluid pressure conditions) or using special techniques. The continuous strength was also evaluated by applying previously obtained drilling parameters, which enabled us to clarify the strength profile extracted from the limited experimental strength data.
P-wave velocity at Site C0002 and strength profiles derived from the triaxial test, P-wave velocity, and drilling parameters. The depth profile of the P-wave velocity was acquired from logging-while-drilling in Holes A, F, N, and P10,28,29. Each line colour indicates the drill hole from which the logging data were obtained. The black EST line is the running average of all holes within 5 data points (Fig. 2). The red squares in the column are the measured strengths obtained in laboratory experiments9, and the light blue dots show the strengths estimated from the sonic velocity-porosity-strength relation13.
The core sample strengths under in situ conditions determined by triaxial compression experiments9 are consistent with the EST (red squares in Fig. 3). The experiments were conducted on intact specimens, assuming that the pore pressure is hydrostatic and the vertical stress is the minimum principal stress (i.e., reverse-fault stress regime)11. However, the current accretionary prism lies in a strike-slip faulting regime5,12. Therefore, the experimental strength may be overestimated compared to the actual in situ strength, suggesting that the EST may also be overestimated.
We proposed an evaluation of the depth profile of the equivalent strength (EST) to investigate continuous variations in the mechanical properties. Here, we define the EST based on the stress supplied to the formation assuming a simplified bit shape (see Supplementary Fig. S1) as:
It drops in the prism and gives it as value. If you off the prism it kills the rotate. If you record it with the prism not selected it still includes the values in the preset as it seems to be somehow linked. I have made sure i am in single not linked feature.
On the Rush MH 7 Hybrid from the MA2 Library Effect Wheel and Effect Index Rotate are linked via Master Mode in the fixture profile. So in order to store Prism and Index/speed separately you can do one of a few things:
Below 1 and 2 work together to select a prism(1) and index(2), and 4, 5 and 6 work together select prism(4) and rotate speed/direction(5+6). If you try and use 1 and 5 and 4 and 2 you end up with an index.
Edit: To clarify, before the update the CCW rotation just wasn't present in the personality at all. After the update, it appears between 1-2, which means only extreme fine control and caution is needed to get it set correct. However, we're unable to stop and start back the other direction without dropping the prism first...which is a bigger concern. Our modified personality works fine, so our show is alright.
Alleviating the sample composition issue by discarding low tumor content samples (The Cancer Genome Atlas Research Network, 2011, 2015) can bias the sampling to contain only cancer cell rich tumors and exclude samples from good-responding patients during therapy, which is detrimental in longitudinal cohorts. Current computational correction approaches are not ideally suited for precision oncology needs as they focus on either immune or stromal signatures and employ preset expression profiles (Schelker et al., 2018; Sun et al., 2019; Yoshihara et al., 2013), derive the sample composition without estimating the transcriptomic profiles (Newman et al., 2015; Wang et al., 2019), operate at a population level (Newman et al., 2019) or lack ability to adapt to patients lacking a matched single-cell data (Frishberg et al., 2019; Newman et al., 2019).
To counter this, we present PRISM (Poisson RNA-profile Identification in Scaled Mixtures), which is a statistical latent variable framework for RNA-seq data. Compared with the existing methods, PRISM is unique in that it estimates both the composition and the constituent expression profiles simultaneously in individual bulk samples, a combination which was previously unmet. This is achieved by exploiting a single-cell reference, which is subject to the statistical model rather than being treated as ground truth, which allows PRISM to form adaptive profiles even for unmatched data. These estimates provide personalized expression profiles that are unbiased to changes in the sample composition, enabling tracking the tumor progression in individual patients.
For KIF1A, C1R and GPR34, we divided the 214 bulk RNA samples into the bottom 50% and top 50% groups by the expression level to predict the time to progression of the disease. As suggested by the differences between the complete response and progressive disease groups, we found that a high level of KIF1A in the cancer cell specific profile and low levels of C1R and GPR34 in the fibroblast and immune specific profiles, respectively, confer less effective treatment and more rapid recurrence of the cancer. As shown in Figure 5, this difference is not visible in the composite bulk signal. We verified that a similar association exists in the decomposed TCGA ovarian cancer (The Cancer Genome Atlas Research Network, 2011) data for KIF1A, C1R and GPR34 (P-value ph
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