Mind the Gap(s): Solutions for Defining Tipper-Tippee Liability and the Personal Benefit Test Post-Salman v. United States

The Supreme Court’s decision in Salman v. United States reaffirmed (and indeed, clarified) the central holding of Dirks v. SEC that no additional pecuniary or reputational gain is needed when an insider gives information to a “trading relative or friend.” While this was considered a win for prosecutors, the Court chose to abstain from considering more complex questions regarding tipper-tippee liability. Namely, the Court provided no guidance on what constitutes a “friend” or “trading relative” nor how a tippee “should know” whether information was improperly disclosed. Without any clear standards, prosecutors and courts have wide discretion to determine whether these criteria are met, which is often a case-specific and fact-intensive inquiry. Anticipating some of these difficulties, this Note proposes some objective criteria for courts to consider when determining whether the criteria in Salman has been satisfied. This promotes a uniform state of tipper-tippee liability and avoids uncertainty about the outcomes in future insider trading cases

Nanometer patterning of water by tetraanionic ferrocyanide stabilized in aqueous nanodrops.

Formation of the small, highly charged tetraanion ferrocyanide, Fe(CN)64-, stabilized in aqueous nanodrops is reported. Ion-water interactions inside these nanodrops are probed using blackbody infrared radiative dissociation, infrared photodissociation (IRPD) spectroscopy, and molecular modeling in order to determine how water molecules stabilize this highly charged anion and the extent to which the tetraanion patterns the hydrogen-bonding network of water at long distance. Fe(CN)64-(H2O)38 is the smallest cluster formed directly by nanoelectrospray ionization. Ejection of an electron from this ion to form Fe(CN)63-(H2O)38 occurs with low-energy activation, but loss of a water molecule is favored at higher energy indicating that water molecule loss is entropically favored over loss of an electron. The second solvation shell is almost complete at this cluster size indicating that nearly two solvent shells are required to stabilize this highly charged anion. The extent of solvation necessary to stabilize these clusters with respect to electron loss is substantially lower through ion pairing with either H+ or K+ (n = 17 and 18, respectively). IRPD spectra of Fe(CN)64-(H2O) n show the emergence of a free O-H water molecule stretch between n = 142 and 162 indicating that this ion patterns the structure of water molecules within these nanodrops to a distance of at least ∼1.05 nm from the ion. These results provide new insights into how water stabilizes highly charged ions and demonstrate that highly charged anions can have a significant effect on the hydrogen-bonding network of water molecules well beyond the second and even third solvation shells

Pseudo Bayesian Estimation of One-way ANOVA Model in Complex Surveys

We devise survey-weighted pseudo posterior distribution estimators under 2-stage informative sampling of both primary clusters and secondary nested units for a one-way ANOVA population generating model as a simple canonical case where population model random effects are defined to be coincident with the primary clusters. We consider estimation on an observed informative sample under both an augmented pseudo likelihood that co-samples random effects, as well as an integrated likelihood that marginalizes out the random effects from the survey-weighted augmented pseudo likelihood. This paper includes a theoretical exposition that enumerates easily verified conditions for which estimation under the augmented pseudo posterior is guaranteed to be consistent at the true generating parameters. We reveal in simulation that both approaches produce asymptotically unbiased estimation of the generating hyperparameters for the random effects when a key condition on the sum of within cluster weighted residuals is met. We present a comparison with frequentist EM and a methods that requires pairwise sampling weights.Comment: 46 pages, 9 figure