Preserving Minors’ Rights After Casey: The “New Battlefield” of Negligence and Strict Liability Statutes

Simultaneous Switching Noise (SSN) is one of the major problems in today highspeed circuits. Power-Ground voltage fluctuation is significantly increasing due to L ∗ (di/dt)) noise known as Power-Ground bounce and can be one major noise source in modern and mixed-signal circuit design. In this thesis first SSN and its sources are studied followed by some theoretical analysis, then we present some clock shapes that cause in SSN reduction. In this thesis, we investigate different clocking techniques in order to reduce SSN. The effect of rise/fall time variation, applying sinusoidal, multi-segment and harmonic suppressed clocks have been investigated and verified by proper circuit simulations. Multi-segment clock shape and harmonic suppression clock shape produce less noise in comparison to conventional clock, so using them as clock of the whole system can be act as noise reduction technique

Riak Kehidupan

Deskripsi: Karya keramik ini berjudul ”Riak Kehidupan” yang memiliki arti: ”Riak” yaitu: gerakan mengombak di permukaan air, dan ”Kehidupan” memiliki arti: masih terus ada, bergerak, dan bekerja sebagai mana mestinya (manusia, binatang dan tumbuhan). (Kamus Besar Bahasa Indonesia,1991:350:840). Jadi ”Riak Kehidupan” yang dimaksudkan pada karya ini adalah: pasang surutnya perjalanan kehidupan yang harus dijalani, seperti gerakan/gelombang air yang mengalir dari hulu kehilir

Does Building a Relative Sunspot Number Make Sense? A Qualified 'Yes'

Recent research has demonstrated that the number of sunspots per group ('active region') has been decreasing over the last two or three solar cycles and that the classical Relative Sunspot Number (SSN) no longer is a good representation of solar magnetic activity such as revealed by e.g. the F10.7 cm microwave flux. The SSN is derived under the assumption that the number of spots per group is constant (in fact, nominally equal to 10). When this is no longer the case (the ratio is approaching 5, only half of its nominal value) the question arises how to construct a sunspot number series that takes that into account. We propose to harmonize the SSN with the sunspot Group Count that has been shown to follow F10.7 very well, but also to include the day-to-day variations of the spot count in order to preserve both long-term and short-term variability.Comment: 4 pages, 1 Figur

Complex Network Analysis of State Spaces for Random Boolean Networks

We apply complex network analysis to the state spaces of random Boolean networks (RBNs). An RBN contains $N$ Boolean elements each with $K$ inputs. A directed state space network (SSN) is constructed by linking each dynamical state, represented as a node, to its temporal successor. We study the heterogeneity of an SSN at both local and global scales, as well as sample-to-sample fluctuations within an ensemble of SSNs. We use in-degrees of nodes as a local topological measure, and the path diversity [Phys. Rev. Lett. 98, 198701 (2007)] of an SSN as a global topological measure. RBNs with $2 \leq K \leq 5$ exhibit non-trivial fluctuations at both local and global scales, while K=2 exhibits the largest sample-to-sample, possibly non-self-averaging, fluctuations. We interpret the observed ``multi scale'' fluctuations in the SSNs as indicative of the criticality and complexity of K=2 RBNs. ``Garden of Eden'' (GoE) states are nodes on an SSN that have in-degree zero. While in-degrees of non-GoE nodes for $K>1$ SSNs can assume any integer value between 0 and $2^N$, for K=1 all the non-GoE nodes in an SSN have the same in-degree which is always a power of two

Solar-wind predictions for the Parker Solar Probe orbit

The scope of this study is to model the solar-wind environment for the Parker Solar Probe's unprecedented distances down to 9.86 Rs in its mission phase during 2018-2025. The study is performed within the CGAUSS project which is the German contribution to the PSP mission as part of the WISPR imager on PSP. We present an empirical solar-wind model for the inner heliosphere which is derived from OMNI and Helios data. The sunspot number (SSN) and its predictions are used to derive dependencies of solar-wind parameters on solar activity and to forecast them for the PSP mission. The frequency distributions for the solar-wind key parameters magnetic field strength, proton velocity, density, and temperature, are represented by lognormal functions, considering the velocity distribution's bi-componental shape. Functional relations to the SSN are compiled using OMNI data and based on data from both Helios probes, the parameters' frequency distributions are fitted with respect to solar distance. Thus, an empirical solar-wind model for the inner heliosphere is derived, accounting for solar activity and solar distance. The inclusion of SSN predictions and the extrapolation down to PSP's perihelion region enables us to estimate the solar-wind environment for PSP's planned trajectory during its mission duration. This empirical model yields estimated solar-wind values for PSP's 1st perihelion in 2018 at 0.16 au: 87 nT, 340 km s-1, 214 cm-3 and 503000 K. The estimates for PSP's first closest perihelion, occurring in 2024 at 0.046 au, are 943 nT, 290 km s-1, 2951 cm-3, and 1930000 K. Since the modeled velocity and temperature values below approximately 20 Rs appear overestimated in comparison with existing observations, this suggests that PSP will directly measure solar-wind acceleration and heating processes below 20 Rs as planned.Comment: 14 pages, 14 figures, 4 tables, accepted for publication in A&